PROGRAM
BOOKINDEX
Main sponsors......................................................4
Sponsors profile..................................................8
Exhibition area and Exhibitor’s booth............14
Social events.......................................................15
Important information.......................................16
PROGRAM
11th July...........................................................20
12th July..........................................................25
13th July..........................................................39
14th July..........................................................53
15th July..........................................................60

3

MAIN SPONSORSPLATINUMGOLDSILVER

BRONZEEXHIBITORS

4

Let’s change the way
the world does
informational retrieval
Ready to pioneer? Check-in with us atamazonsciencesigir2022.splashthat.com
Amazon is an Equal Opportunity Employer

The Noah’s Ark Lab is the AI research center for Huawei
Technologies. Our mission is to make significant contributions toboth the company and society by innovating in AI, data mining
and related fields.
Welcome to Join us !

6

Make thedifference.
At Bloomberg, we use
the power of technology
to bring clarity to acomplex world. In acareer here, you’ll help
create products that our
global customers rely on
to make critical financial
decisions. We work on
purpose.
Come find yours.
Bloomberg.com/careers

SPONSORS PROFILEAMAZON
Amazon fundamentally believes that scientific innovation
is essential to being the most customer-centric company
in the world. It’s the company’s ability to have an impact at
scale that allows us to attract some of the brightest minds
in artificial intelligence, machine learning, and related fields.
Our scientists continue to publish, teach, and engage withthe academic community, in addition to utilizing our working
backwards method to enrich the way we live and work.
Bookmark this site and come back regularly to get a deep
dive on innovation and invention at Amazon, and explore themany ways you can engage with our science community.

ALIBABA GROUPALIBABA GROUP’S MISSION IS TO MAKE IT EASY TO DO
BUSINESS ANYWHERE.
We enable businesses to transform the way they market,
sell and operate and improve their efficiencies. We provide
the technology infrastructure and marketing reach to help
merchants, brands, retailers and other businesses to leverage
the power of new technology to engage with their users andcustomers and operate in a more efficient way.

APPLE
We’re a diverse collective of thinkers and doers, continually
reimagining what’s possible to help us all do what we lovein new ways. And the same innovation that goes into our
products also applies to our practices — strengthening ourcommitment to leave the world better than we found it. This
is where your work can make a difference in people’s lives.
Including your own.

8

BLOOMBERG
Bloomberg’s building the world’s most trusted information
network for financial professionals. Our 6,500+ software
engineers, data scientists, and researchers are dedicatedto advancing and building new systems for the Bloomberg
Terminal and other products to solve complex real-world
problems. They’re constantly improving the Bloomberg
Terminal user experience by enhancing its search andinformation retrieval capabilities. They also contribute
regularly to open source enterprise search projects like
Apache Solr. Learn more at TechAtBloomberg.com/
DataScience

BAIDU
Baidu is a leading AI company with strong Internet
foundation that offers a full AI stack, encompassing an
infrastructure that consists of AI chips, deep learning
framework, core AI capabilities, as well as an open AI
platform to facilitate wide application and usage. With its
mission to “make the complicated world simpler throughtechnology”, Baidu is committed to being a top global
technology company which best understands users’ needs
and enables their growth.

GOOGLE
Google’s mission is to organize the world’s information andmake it universally accessible and useful.

9

HUAWEIThe Noah’s Ark Lab is the AI research center for Huawei
Technologies, located in Hong Kong, Shenzhen, Beijing, Shanghai,Xi’an, London, Paris, Toronto, Montreal, Edmonton, etc.
The mission of the lab is to make significant contributions
to both the company and society by innovating in AI, data
mining and related fields.
The Noah’s Ark Lab is the AI research center for Huawei
Technologies. Our mission is to make significant contributions
to both the company and society by innovating in AI, data
mining and related fields.
Welcome to Join us !

MICROSOFT
Search and recommendation is core to many Microsoft
offerings—such as Microsoft Bing, Microsoft 365, andMicrosoft Azure—and it’s crucial to a growing range
of industries, such as biomedicine, retail e-commerce, andlegal. We, at Microsoft, are interested in connecting withmembers of the SIGIR community who are producing thenext generation of science that will transform what we know
about search and recommendation. Please connect with us
at the Microsoft booth (#10), throughout the conference, or
through our event page: aka.ms/SIGIR22

NAVER
NAVER is Korea’s premier internet company operating thenation’s #1 search engine and largest e-commerce platform.
NAVER is also a leading provider of fintech services, digital content
and cloud services to a global community including innovative
applications such as LINE (Japan’s No.1 messaging app),
WEBTOON and ZEPETO metaverse.
The NAVER Global AI R&D Belt is a network of centres of
excellence in Korea, Japan, Vietnam, the USA and France.

10SPOTIFY
About Spotify: Spotify transformed music listening foreverwhen it launched in 2008. Discover, manage and share over82 million tracks, including more than 4 million podcast titles,
for free, or upgrade to Spotify Premium to access exclusive
features for music including improved sound quality and an
on-demand, offline, and ad-free music listening experience.
Today, Spotify is the world’s most popular audio streaming
subscription service with 422m users, including 182m
subscribers, across 183 markets.

PINECONEThe Pinecone vector database makes it easy to build highperformance vector search applications. It is developerfriendly, fully managed, and easily scalable without
infrastructure hassles. Companies of all sizes rely on Pinecone
to improve semantic search, recommenders, model training,anomaly detection, and other applications. We’re hiring
engineers, data scientists, and researchers!

UNED
UNED (Spanish Open University), with its blended learningmodel, is the largest public university in Spain (with over
200,000 students every year) and the largest campus inEurope, with over 100 sites across 17 countries. Its mission
is to provide inclusive, equitative universal access to higher
education.

11

The NAVER Global AI R&D Belt is a network of centres of excellence in Korea,
Japan, Vietnam, the USA and France.

A podcast miniseries
It’s one thing to imagine the future of audio, quite
another to actually build it. Joined by guests frommusic, business, and tech, Spotify’s Gustav
Söderström delves into the art and science of
product strategy and development. Hear lessons
from inside the world’s most popular streamingaudio service, as told by the people who built it.

www.lifeatspotify.com • research.atspotify.com

Microsoft at SIGIR 2022
Search and recommendation is core to many Microsoft
offerings and it’s crucial to a growing range of industries,
such as biomedicine, retail e-commerce, and legal.

23

accepted
papers02

collaborative keynote
workshops
presentation

Visit our conference web page
To learn more about Microsoft’s accepted papers
and contributions at SIGIR 2022, visit our conference
web page by hovering over the QR code above or
following the link: aka.ms/sigir22
Follow us on social media

Microsoft Research

Programs
Microsoft collaborates with the global
research community through programs,
events, learning opportunities and joint
research endeavors. Browse here foropportunities and collaboration stories.
aka.ms/msrprog

01

EXHIBITION AREA AND
EXHIBITOR’S BOOTH

14

SOCIAL EVENTSThe Organizing Committee has prepared a fantastic program to
Welcome you in Madrid!!
On MONDAY JULY 11TH evening the Welcome
Cocktail, kindly sponsored by AMAZON willtake place at 20:00hs in the AZOTEA Terrace,at the rooftop of the Circulo de Bellas Artes.This
is one of the most famous rooftops in Madrid,and the place where the most iconic images ofMadrid are taken. It will be the official openingof the conference.
* Places are limited in number by the venue, so
please be keen on punctuality.
On TUESDAY JULY 12TH evening we add a special
event to the traditional SIGIR social events: aconcert in the meeting venue, at 19:00hs after
the technical sessions at the Teatro Room. We
will have a live performance of Fetén Fetén(approximate translation: dope dope), one of
the best Spanish folk bands. In contrast with
the SIGIR community, Fetén Fetén is a strictly
analog band. They have, however, impressiveengineering skills when it comes to building
extravagant instrument.

On WEDNESDAY JULY 13TH evening a special
Conference Dinner is planned at the “ThePalacio de Negralejo”.
The Organising Committee is pleased to informyou that there will be a shuttle service available
for congress registered attendees.

15

IMPORTANT INFORMATIONVENUE
CIRCULO DE BELLAS ARTES
C. del Marqués de Casa Riera, 228014 Madrid

valid, adequate or fit for any purpose
whatsoever. Meeting attendees are solely
responsible for determining the validity,
adequacy and fitness of any information,materials or products or anything else
presented at this conference for any andall uses. Statements and descriptions
made by ACM SIGIR at this conference
and included in conference literature areinformational only and are not made or
given as a warranty. The views, opinions
and statements made at the conference
are solely those of the speakers andmay not reflect the views of ACM SIGIR.
Furthermore, speakers may have vested
interests in the concepts and products
they discuss.
It is further understood and agreed that
ACM SIGIR shall not be liable whether incontract, in tort, under any warranty, in
negligence or otherwise for any kind ofclaim for loss, damage or expense of any
kind arising out of or resulting from the useof any information, materials, products oranything else presented at this conference,and under no circumstances shall ACM
SIGIR be liable for special, indirect orconsequential damages.
ACM SIGIR and/or its agents have the rightto alter or cancel the conference or anyof the arrangements, timetables, plans orother items relating directly or indirectly
to the meeting without prior notice forany reason beyond their control. The
conference and/ or its agents shall not beliable for any loss, damage, expenditure orinconvenience caused as a result of suchalteration or cancellation.

TECHNICAL SECRETARIATGRUPO PACIFICO MEETINGS & EVENTS
Calle Castelló, 128 7ªplanta
28006 Madrid(SPAIN)
Tel. +34 913 836 000 Fax. +34 913 023 926
Email: sigir2022@pacifico-meetings.com
OFFICIAL LANGUAGE
The official language of the Meeting is
English. No simultaneous translation will
be provided.
BADGES AND SECURITY
It is essential that you wear your personal
badge at all times while in the Meetingvenue and social events, as it is the official
entrance pass to scientific sessions andnetworking events, and other Meeting
activities.
For the Conference Dinner, it will also benecessary to present the corresponding
Voucher that will be provided with theregistration package.
DISCLAIMER
The ACM SIGIR hereby provides notice
to conference attendees and anyone
else, that ACM SIGIR makes no warrantyof any kind whatso- ever, expressed or
implied, that any information, materials,
techniques or products or anything else
presented at this conference is accurate,

16

PERSONAL SAFETY
Madrid is a safe city. However, we stillencourage you to have a care for personalsafety and do not deliberately put yourself
in unnecessary dangerous situations.

INSURANCE AND LIABILITY
It is recommended that participants
obtain adequate cover for travel, healthand accident insurance before they departfrom their countries. ACM SIGIR 2022 and
GRUPO PACIFICO MEETINGS & EVENTS
as organizers cannot accept responsibility
for personal injuries, or loss of, or damage
to, private property belonging to themeeting participants and accompanying
persons.

COVID STATEMENT
The ACM SIGIR Conference Organising
Committee is committed to work hardto offer you a face-to-face meeting
while carefully monitoring the worldwide
development of COVID-19. We strongly
recommend you also keep updated withthe current status and specific travel
requirements in your country.
The SIGIR exec asks that all SIGIR
conference attendees wear high-quality,
well-fitting masks whilst indoors, andremove their masks only the minimal
amount necessary to eat and drink.

REGISTRATION AND INFORMATIONDESK OPENING HOURS
Monday 11th July 08:00 - 20:00
Tuesday 12th July 08:00 - 20:00
Wednesday 13th July 08:00 - 1 8:00
Thursday 14th July 08:00 - 18:00
Friday 15th July 08:00-14:00

This policy is in force even if local
regulations are less strict, but may besuperseded by stricter local regulations.

SPEAKERS PREVIEW CORNER
All presentations must be PowerPoint(format16:9).
Pleasebring
yourpresentation to the speaker corner at
Salon del Baile Room (second floor) on amemory stick the day before your talk.

Furthermore, the SIGIR exec strongly
encourages attendees to wear a mask inindoor space outside the conference venue(including public transportation) to avoid
bringing COVID to the venue. In particular,
we ask that the attendees avoid crowded
indoor places as much as possible.

SPEAKERS PREVIEW CORNEROPENING HOURS
Monday 11th July 08:30-18:00
Tuesday 12th July 08:30-18:00
Wednesday 13th July 08:30-18:00
Thursday 14th July 08:30-17:00
Friday 15th July 08:30-14:00

RULES IN MAINLAND SPAIN
Mandatory mask:
In public transports, taxis and similar
passenger transports.
Access and visits to care and nursing
homes and health facilities.
General behavior guidelines:
Social distancing.
Frequent hand washing.
Respiratory etiquette.
The ACM SIGIR Conference Organising
Committee recommends being vaccinatedfor everyone’s sake.

WIFI ACCESS
Network: SIGIR2022
Password: Madrid2022

17

SOCIAL MEDIA/PHOTO/VIDEO POLICY
Please respect authors when publishingin social media, you may not do live
tweet (#ACMSIGIR22) presentations ortake pictures/videos of talks unless the
speaker explicitly opts out by stating so
at the start of his or her talk and/or has
marked slides as Confidential. Taking
photos and/or videos of posters without
permission is strictly prohibited. (See
Poster Policy below).

to be a safe, inclusive, and welcoming
environment for all participants andstaff. All participants (regardless of theirroles) are expected to follow the Code of
Conduct at any part of the meeting, bothat the official conference venue and atsocial events off site.
UNACCEPTABLE BEHAVIORS
Unacceptable behaviors include, but are
not limited to:
Intimidating, harassing, abusive,
discriminatory,
derogatory,ordemeaning speech or actions by any
participant and at all related events.
Harmful or prejudicial verbal or
written comments or visual images
related to gender, gender expression,
gender identity, marital status,
sexual orientation, race, religion,
political orientation, socioeconomic,
disability or ability status, or otherpersonal characteristics.

POSTER POLICY
We expect all participants to treat theposters as the property of the presenterand not attempt to copy them in any
way. In the case that a poster presenter
wants to give everyone permission totake pictures of his or her work, official“Photography OK” stickers are available
from the registration. Taking pictures,videos or otherwise reproducing theposters or any part thereof is not
permitted without the permission of thepresenter unless a “Photography OK”
sticker is found on the poster.

Violating the rules and regulationsof the conference venue.
Sustained disruption of scientificsessions or other events.
Unwelcome and uninvited attention
or contact.
Physicalassault(including
unwelcome touching or groping).
Harassing or unwanted photography.
Photographing posters without
permission.

CODE OF CONDUCTFor the ACM SIGIR 2022 Meeting, wehave established a Code of Conduct
to communicate a transparent set of
guidelines and rules for acceptablebehavior at the Meeting, and to make surethat the ACM SIGIR Meeting will continue

18

TAKING ACTION
If you feel threatened, witness
someone being threatened, orobserve behavior that presents animmediate or serious threat to public
safety, please contact venue staff/
security or call 112 immediately.
If you see actions that are in violation
with the Code of Conduct, remind
the person of the Code of Conduct,
or contact venue staff or security.
If you see someone taking
photographs
orvideosofapresentation or poster (wherepermission has not been granted),
you may choose to remind themof the Code of Conduct policy andask them to stop photographing thepresentation or poster.
Need to file a complaint? Please contact
any Conference Organizer (as marked
on their badges) or email at sigir2022@
pacifico-meetings.com All reports will
be handled confidentially.

The consequences of non-compliancewith the ACM SIGIR 2022 Code of
Conduct may include:
Immediate removal from the meeting
without warning or refund.
Restrictions from future meeting
attendance.
Incidents may be reported to theproper authorities.

CONSEQUENCES OF NON-COMPLIANCE
Anyoneasked
byConference
Organizers, the venue or security staff,
or law enforcement officers to stop
unacceptable behavior is expected tocomply immediately. Retaliation toward
official staff or toward someone reporting
an incident or after experiencing any of
the following consequences will not betolerated and may result in additionalsanctions.

19

PROGRAM

From july 11th to July 15th
11th JULY
09:00-10:30
COLUMNAS

TUTORIAL: Examining User Behaviour in Information Retrieval 1
Organizers: George Buchanan and Dana Mckay

09:00-10:30
CINE		

TUTORIAL: Improving Efficiency and Robustness of Transformerbased Information Retrieval Systems 1
Organizers: Edmon Begoli, Sudarshan Srinivasan and Maria Mahbub

09:00-10:30
GÓMEZ SERNATUTORIAL: Conversational Information Seeking: Theory andApplication1
Organizers: Jeff Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski,
Federico Rossetto, Johanne R. Trippas and Hamed Zamani

09:00-10:30
ICTIR 1VALLE INCLÁN		
9:00 - 9:30
9:30 - 10:30

Opening
Keynote “From Search Queries to Conversationsin the Design of Information Retrieval and Access
Systems” by Emine Yilmaz (UCL, London, UK)

09:00-10:30
M. ZAMBRANO

TUTORIAL: Gender Fairness in Information Retrieval Systems 1
Organizers: Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi,
Morteza Zihayat and Ebrahim Bagheri

10:30-11:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

11:00-12:30
COLUMNAS

TUTORIAL: Examining User Behaviour in Information Retrieval 2
Organizers: George Buchanan and Dana Mckay2011:00-12:30
CINE

TUTORIAL: Improving Efficiency and Robustness of Transformerbased Information Retrieval Systems 2
Organizers: Edmon Begoli, Sudarshan Srinivasan and Maria Mahbub

11:00-12:30
GÓMEZ SERNATUTORIAL: Conversational Information Seeking: Theory andApplication 2
Organizers: Jeff Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski,
Federico Rossetto, Johanne R. Trippas and Hamed Zamani

11:00-12:30
VALLE INCLÁN

ICTIR EVALUATION
Trond Linjordet, Krisztian Balog and Vinay Setty: Towards Formally
Grounded Evaluation Measures for Semantic Parsing-based
Knowledge Graph Question Answering
Fernando Giner: On the Effect of Ranking Axioms on IR Evaluation
Metrics
Ruben van Heusden, Jaap Kamps and Maarten Marx: WooIR: a New
Open Page Stream Segmentation Dataset

11:00-12:30
M. ZAMBRANO

TUTORIAL: Gender Fairness in Information Retrieval Systems 2
Organizers: Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi,
Morteza Zihayat and Ebrahim Bagheri

12:30-13:30

LUNCH BREAK. EXHIBITION AREA. SALÓN DE BAILE

13:30-15:00
COLUMNAS

TUTORIAL: Examining User Behaviour in Information Retrieval 3
Organizers: George Buchanan and Dana Mckay

13:30-15:00
CINE

TUTORIAL: Towards Reproducible Machine Learning Research inInformation Retrieval 1
Organizers: Ana Lucic, Maurits Bleeker, Maarten de Rijke, Koustuv
Sinha, Sami Jullien and Robert Stojnic

13:30-15:00
GÓMEZ SERNATUTORIAL: Conversational Information Seeking: Theory andApplication3
Organizers: Jeff Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski,
Federico Rossetto, Johanne R. Trippas and Hamed Zamani21

13:30-15:00
VALLE INCLÁN

ICTIR- QUERY ANALYSIS
Harrisen Scells, Connor Forbes, Justin Clark, Bevan Koopman andGuido Zuccon: The Impact of Query Refinement on Systematic
Review Literature Search: A Query Log Analysis
Chris Samarinas, Arkin Dharawat and Hamed Zamani: Revisiting
Open Domain Query Facet Extraction and Generation
Sahiti Labhishetty and Chegnxiang Zhai: PRE: A Precision-RecallEffort Optimization Framework for Query Simulation

13:30-15:00
M. ZAMBRANO

TUTORIAL: Retrieval and Recommendation Systems at the Crossroadsof Artificial Intelligence, Ethics, and Regulation 1
Organizers: Markus Schedl, Emilia Gomez and Elisabeth Lex

15:00-15:30

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

15:30-17:00
COLUMNAS

TUTORIAL: Examining User Behaviour in Information Retrieval 4
Organizers: George Buchanan and Dana Mckay

15:30-17:00
CINE

TUTORIAL: Towards Reproducible Machine Learning Research inInformation Retrieval 2
Organizers: Ana Lucic, Maurits Bleeker, Maarten de Rijke, Koustuv
Sinha, Sami Jullien and Robert Stojnic

15:30-17:00
GÓMEZ SERNATUTORIAL: Conversational Information Seeking: Theory andApplication 4
Organizers: Jeff Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski,
Federico Rossetto, Johanne R. Trippas and Hamed Zamani

15:30-17:00
VALLE INCLÁN

ICTIR RANKING 1
Abhijit Anand, Jurek Leonhardt, Koustav Rudra and Avishek Anand:
SOLAR: Supervised Contrastive Learning Approach for Contextual
Ranking
Lukas Gienapp, Maik Fröbe, Matthias Hagen and Martin Potthast:Sparse Pairwise Re-ranking with Pre-trained Transformers
Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang
and Xuanhui Wang: Stochastic Retrieval-Conditioned Reranking

22

15:30-17:00
M. ZAMBRANO

TUTORIAL: Retrieval and Recommendation Systems at the Crossroadsof Artificial Intelligence, Ethics, and Regulation 2
Organizers: Markus Schedl, Emilia Gomez and Elisabeth Lex

15:30-19:00

TUTORIAL: Continual Learning Dialogue Systems: Learning during
Conversation
Organizers: Sahisnu Mazumder and Bing Liu

15:30-17:50
A. PALACIOSDOCTORAL CONSORTIUM
15:45-16:05(DC) User-centered Non-factoid Answer Retrieval
Marwah Alaofi

15:45-16:05(DC) Knowledge-based Explanation Generation for
Recommendation from Review
Zuoxi Yang

16:05-16:25(DC) Continuous Result Delta Evaluation of IR
Systems
Gabriela Nicole González Sáez

16:05-16:25(DC) Fairness-Aware Question
Intelligent Assistants
Sachin Pathiyan Cherumanal

16:40-17:00(DC) Neural Pseudo-Relevance Feedback Models
for Sparse and Dense Retrieval
Xiao Wang

16:40-17:00(DC)
Explainable
Conversational
Answering over Heterogeneous Sources
Philipp Christmann

17:00-17:20(DC) Improving Fairness and Transparency for
Artists in Music Recommender Systems
Karlijn Dinnissen

17:00-17:20(DC) KA-Recsys: Patient Focused Knowledge
Appropriate Health Recommender System:A casestudy with ovarian cancer patients
Khushboo Thaker

23

Answeringfor

Question17:00-18:00
VALLE INCLÁN

17:20-17:40(DC) Pre-Training for Mathematics-Aware Retrieval
Anja Reusch

17:20-17:40(DC)
Adaptive
Dialogue
Management
Conversational Information Elicitation
Harshita Sahijwanifor

ICTIR RECOMMENDATION 1
Yitong Ji, Aixin Sun, Jie Zhang and Chenliang Li: Do Loyal Users
Enjoy Better Recommendations? Understanding Recommender
Performance from a Time Perspective
Farhan Khawar and Adam Roegiest: Non-popular Items for Accurate& Diverse Linear Auto-Encoding Recommenders
Masahiro Kohjima: Uncoupled Nonnegative Matrix Factorization
with Pairwise Comparison Data

18:00-19:00
VALLE INCLÁNICTIR
Panel on “Theory: does it still have a core role in IR research?”

20:00-21:30

WELCOME RECEPTION. AZOTEA DEL CÍRCULO

24

12th JULY
09:00-10:30
TEATRO

Welcome + PLENARY: Keynote: Searching for a New and Better
Future of Work
Speaker: Jaime Teevan

09:00-10:30
VALLE INCLÁN

ICTIR RANKING 2
Shameem A Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos,
Roderick Murray-Smith and Iadh Ounis: Parameter Tuning of Rerankingbased Diversification Algorithms using Total Curvature Analysis
Yumeng Wang, Lijun Lyu and Avishek Anand: BERT Rankers are
Brittle: a Study using Adversarial Document Perturbations
Tuomas Ketola and Thomas Roelleke: Formal Constraints for
Structured Document Retrieval

09:00-10:30
ICTIR QUERYING, CLUSTERING, SUMMARIZATION
M. MOLINER		
Ruben van Heusden, Jaap Kamps and Maarten Marx: BCubed
Revisited: Elements Like Me
Rei Shimizu, Sumio Fujita and Tetsuya Sakai: Do Extractive
Summarization Algorithms Amplify Lexical Bias in News Articles?
Agnès Mustar, Sylvain Lamprier and Benjamin Piwowarski: IRnator: aFramework for Discovering Users Needs from Sets of Suggestions
10:30-11:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

11:00-12:30
TEATROPAPER SESSION: Conversational IR 1
Chair: Hamed Zamani
Curriculum
Contrastive
Context
Denoising
Conversational Dense Retrieval
Kelong Mao, Zhicheng Dou and Hongjin Qianfor

Few-shot

Unified Dialog Model Pre-training for Task-Oriented Dialog
Understanding and Generation
Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si and
Yongbin Li

25

COSPLAY: Concept Set Guided Personalized Dialogue Generation
Across Both Party Personas
Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang and Chuangbai
XiaoInteracting with Non-Cooperative User: A New Paradigm for
Proactive Dialogue Policy
Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao,
Jiancheng Lv, Zhenglu Yang and Tat-Seng Chua
User-Centric Conversational Recommendation with Multi-Aspect
User Modeling
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang andQing He
Generating Clarifying Questions with Web Search Results
Ziliang Zhao, Zhicheng Dou, Jiaxin Mao and Jirong Wen
11:00-12:30
COLUMNAS

PAPER SESSION: Multi- and Cross-modal IR
Chair: Mohammad Aliannejadi
CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video
RetrievalKaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang,
Jingdong Chen and Wei Chu
Multimodal Disentanglement Variational AutoEncoders for ZeroShot Cross-Modal Retrieval
Jialin Tian, Kai Wang, Xing Xu, Zuo Cao, Fumin Shen and Heng Tao
Shen
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval
Shuai Zhao, Linchao Zhu, Xiaohan Wang and Yi Yang
Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval
Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li and Zhiyong Cheng
V2P: Vision-to-Prompt based Multi-Modal Product Summary
Generation
Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing
Chen and Liqiang Nie

26

11:00-12:30
GÓMEZ SERNA

PAPER SESSION: Session-based and group recommendation
Chair: Tat-Seng Chua
Thinking inside The Box: Learning Hypercube Representations forGroup Recommendation
Tong Chen, Hongzhi Yin, Jing Long, Nguyen Quoc Viet Hung, Yang
Wang and Meng Wang
An Attribute-Driven Mirror Graph Network for Session-based
Recommendation
Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang and Aixin Sun
Price DOES Matter! Modeling Price and Interest Preferences in
Session-based Recommendation
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng
Liu and Hongfei Lin
AutoGSR: Neural Architecture Search for Graph-based Session
Recommendation
Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan and Yihua
Huang
Multi-Faceted Global Item Relation Learning for Session-Based
Recommendation
Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song and Li Li
Integrating Collaboration and Leadership in Conversational Group
Recommender Systems
David Contreras, María Salamó, and Ludovico Boratto

11:00-12:30
VALLE INCLÁN

ICTIR NATURAL LANGUAGE PROCESSING
Joseph Telemala and Hussein Suleman: Language-Preference-Based
Re-ranking for Multilingual Swahili Information Retrieval
David Rau and Jaap Kamps: The Role of Complex NLP in Transformers
for Text Ranking
Amin Abolghasemi, Arian Askari and Suzan Verberne: On theInterpolation of Contextualized Term-based Ranking with BM25 forQuery-by-Example Retrieval27

11:00-12:30
M. MOLINERICTIR INFORMATION NEEDS
Dominika Michalkova, Mario Parra Rodriguez and Yashar Moshfeghi:
Drivers of Information Need: a Behavioural Study
Sibo Dong, Justin Goldstein and Grace Hui Yang: GazBy: Gaze-Based
BERT Model to Incorporate Human Attention in Neural Information
Retrieval
Tan Yu, Hongliang Fei and Ping Li: U-BERT for Fast and Scalable
Text-Image Retrieval

11:00-12:30
M. ZAMBRANOPAPER SESSION: CTR and Conversion Rate Prediction
Chair: Charlie Clarke
HIEN: Hierarchical Intention Embedding Network for Click-ThroughRate Prediction
Zuowu Zheng, Changwang Zhang, Xiaofeng Gao and Guihai Chen
NAS-CTR: Efficient Neural Architecture Search for Click-ThroughRate Prediction
Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan and Yihua
Huang
Enhancing
CTR
Prediction
withContext-Aware
FeatureRepresentation Learning
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng
Zhang and Ning Gu
Neighbour Interaction based Click-Through Rate Prediction via
Graph-masked Transformer
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Luo Da,
Kangyi Lin, Sophia Ananiadou and Junzhou Huang
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click
Conversion Rate Estimation
Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen,
Chao Yu, Ruopeng Li and Wei Chu
The Simpson’s Paradox in the Offline Evaluation of Recommendation
Systems
Amir Jadidinejad, Craig MacDonald and Iadh Ounis

28

12:30-13:30

LUNCH BREAK. EXHIBITION AREA. SALÓN DE BAILE

12:30-13:30
STUDENT LUNCHEON
SALA COLUMNASBen Carterette, Spotify
Helen (Zi) Huang, University of Queensland (online)
Julián Urbano, Delft University of Technology
FREE DISCUSSIONS AMONG THE STUDENTS AND THE TABLE
CAPTAINS
Students and table captains
13:30-15:00
TEATROPAPER SESSION: Bias in IR
Chair: Josiane Mothe
Can Clicks Be Both Labels and Features? Unbiased Behavior Feature
Collection and Uncertainty-aware Learning to Rank
Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin and Qingyao
Ai
Implicit Feedback for Dense Passage Retrieval: A Counterfactual
Approach
Shengyao Zhuang, Hang Li and Guido Zuccon
Bilateral Self-unbiased Learning from Biased Implicit Feedback
Jae-woong Lee, Seongmin Park, Joonseok Lee and Jongwuk Lee
Interpolative Distillation for Unifying Biased and Debiased
Recommendation
Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong
Liao and Yongdong Zhang
Investigating Accuracy-Novelty Performance for Graph-based
Collaborative Filtering
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai
Wang, Runze Wu, Xudong Shen and Tangjie Lv
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in
Recommender Systems
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy,
Bamshad Mobasher and Robin Burke29

13:30-15:00
COLUMNAS

PAPER SESSION: Evaluation and User Studies
Chair: Gianluca Demartini
Ranking Interruptus: When Truncated Rankings Are Better and How
to Measure That
Enrique Amigo, Stefano Mizzaro and Damiano Spina
Human Preferences as Dueling bandits
Xinyi Yan, Chengxi Luo, Charles Clarke, Nick Craswell, Ellen Voorhees
and Pablo Castells
A Flexible Framework for Offline Effectiveness Metrics
Alistair Moffat, Joel Mackenzie, Paul Thomas and Leif Azzopardi
IR Evaluation and Learning in the Presence of Forbidden Documents
David Carmel, Nachshon Cohen, Amir Ingber and Elad Kravi
Offline Retrieval Evaluation Without Evaluation Metrics
Fernando Diaz and Andres Ferraro
Offline Retrieval Evaluation Without Evaluation Metrics
Dominika Michalkova, Mario Parra and Yashar Moshfeghi

13:30-14:30
CINE

SIRIP 1 Keynote: Search at Bloomberg: Challenges, Opportunities andLessons Learned
Speaker: Edgar Meij
Opening remarks (SIRIP co-chairs)
Keynote 1: Search at Bloomberg: Challenges, Opportunities andLessons Learned
Edgar Meij (Bloomberg, USA)

13:30-15:00
GÓMEZ SERNA

PAPER SESSION: Recommender Systems
Chair: Eugene Agichtein
ReCANet: A Repeat Consumption-Aware Neural Network for Next
Basket Recommendation in Grocery Shopping
Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, SebastianSchelter and Maarten de Rijke
User-controllable Recommendation Against Filter Bubbles
Wenjie Wang, Fuli Feng, Liqiang Nie and Tat-Seng Chua

30

Unify Local and Global Information for Top-N Recommendation
Xiaoming Liu, Shaocong Wu, Zhaohan Zhang and Chao Shen
AutoLossGen: Automatic Loss Function Generation for Recommender
Systems
Zelong Li, Jianchao Ji, Yingqiang Ge and Yongfeng Zhang
Locality-Sensitive State-Guided Experience Replay Optimization forSparse Rewards in Online Recommendation
Xiaocong Chen, Lina Yao, Julian Mcauley, Weili Guan, Xiaojun Chang
and Xianzhi Wang
Privacy-Preserving Synthetic Data Generation for Recommendation
Systems
Fan Liu, Huilin Chen, Zhiyong Cheng, Yinwei Wei, Liqiang Nie andMohan Kankanhalli
13:30-15:00
VALLE INCLÁN

ICTIR RANKING 3
Alexey Kurennoy, John Coleman, Ian Harris, Alice Lynch, Oisin Mac
Fhearai and Daphne Tsatsoulis: A General Framework for Pairwise
Unbiased Learning to Rank
Federico Marcuzzi, Claudio Lucchese and Salvatore Orlando: Filteringout Outliers in Learning to Rank
Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu and Yi Fang:
Two-sided Rank Consistent Ordinal Regression for Interpretable
Music Key Recommendation

13:30-15:00
M. MOLINERICTIR RECOMMENDATION 2
Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo and Ji-Rong Wen: A
Tag-Based Post-Hoc Framework for Explainable Conversational
Recommendation
Norman Knyazev and Harrie Oosterhuis: The Bandwagon Effect: Not
Just Another Bias
Siamak Zamany, Dingcheng Li, Hongliang Fei and Ping Li: Towards
Deeper Understanding of Variational Auto-encoders for Binary
Collaborative Filtering31

13:30-15:00
M. ZAMBRANOPAPER SESSION: Perspectives in IR
Chair: Chirag Shah
Retrieval-Enhanced Machine Learning
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler
and Michael Bendersky
Towards Feature Selection for Ranking and Classification Exploiting
Quantum Annealers
Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola
Ferro, Guglielmo Faggioli and Paolo Cremonesi
Reduce, Reuse, Recycle: Green Information Retrieval Research
Harrisen Scells, Shengyao Zhuang and Guido Zuccon
Where Do Queries Come From?
Marwah Alaofi, Luke Gallagher, Dana Mckay, Lauren L. Saling, Mark
Sanderson, Falk Scholer, Damiano Spina and Ryen W. WhiteOn Natural Language User Profiles for Transparent and Scrutable
Recommendation
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon and Ben
Wedin
Is Non-IID Data a Threat in Federated Online Learning to Rank?
Shuyi Wang and Guido Zuccon

15:00-15:30

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

14:30-16:00
CINE

SIRIP 2 Tech Section 1 - Search (1)Learning to Rank Instant Search Results with Multiple Indices: A
Case Study in Search Aggregation for Entertainment
Scott Rome, Sardar Hamidian, Richard Walsh, Kevin Foley and Ferhan
Ture - Comcast (United States)
ClueWeb22: 10 Billion Web Documents with Rich Information
Arnold Overwijk, Chenyan Xiong - Microsoft (United States) Jamie
Callan - Carnegie Mellon University (United States)
Extractive Search for Analysis of Biomedical Texts
Daniel Clothiaux and Ravi Starz (Bioplx, USA)32

Query Facet Mapping and its Applications in Streaming Services: theNetflix Case Study
Sudeep Das, Ivan Provalov, Vickie Zhang and Weidong Zhang (Netflix Inc., USA)
15:30-16:30
VALLE INCLÁN

ICTIR
Keynote on “I3A: An Intelligent Interactive Information Agent Modelfor Information Retrieval” by Chengxiang Zhai (Univ. Illinois at UrbanaChampaign, USA)

15:30-17:00
POSTERS AND DEMOS 1
SALÓN DE BAILE
ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain
Question Answering over Historical News Collections
Jiexin Wang, Adam Jatowt and Masatoshi Yoshikawa
Axiomatic Retrieval Experimentation with ir_axioms
Alexander Bondarenko, Maik Frobe, Jan Heinrich Reimer, Benno Stein,Michael Volske and Matthias Hagen
CAVES: A Dataset to facilitate Explainable Classification andSummarization of Concerns towards COVID Vaccines
Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy
Ganguly and Saptarshi Ghosh
CODEC: Complex Document and Entity Collection
Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean
MacAvaney and Jeffrey Dalton
Document Expansion Baselines and Learned Sparse Lexical
Representations for MS MARCO V1 and V2
Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira and Jimmy Lin
From Little Things Big Things Grow: A Collection with Seed Studies
for Medical Systematic Review Literature Search
Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman and Guido Zuccon
IR_metadata: An Extensible Metadata Schema for IR Experiments
Timo Breuer, Juri Keller and Philipp Schaer
iRec: An Interactive Recommendation Framework
Thiago Silva, Nicollas Silva, Heitor Werneck, Carlos Mito, Adriano
Pereira and Leonardo Rocha

33

DEMOSA Common Framework for Exploring Document-at-a-Time andScore-at-a-Time
Retrieval Methods
Andrew Trotman, Joel Mackenzie, Pradeesh Parameswaran and Jimmy
Lin
A Python Interface to PISA!
Sean MacAvaney and Craig Macdonald
A2A-API: A Prototype for Biomedical Information Retrieval Researchand Benchmarking
Maciej Rybinski, Liam Watts and Sarvnaz Karimi
Are Taylor’s Posts Risky? Evaluating Cumulative Revelations in
Online Personal Data: A persona-based tool for evaluating awarenessof online risks and harms
Leif Azzopardi, Jo Briggs, Melissa Duheric, Callum Nash, Emma Nicol,
Wendy Moncur and Burkhard Schafer
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever
Checkpoints During Training
Shengyao Zhuang and Guido Zuccon
CHERCHE: A New Tool to Rapidly Implement Pipelines in Information
RetrievalRapahel Sourty, Jose G Moreno, Lynda Tamine and Francois-Paul
Servant
Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval
System with the Ability to Focus
Florian Schneider and Chris Biemann
IRVILAB: Gamified Searching on Multilingual Wikipedia
Paavo Arvola and Tuulikki Alamettala
LawNet-Viz: A Web-based System to Visually Explore Networks of
Law Article References
Lucio La Cava, Andrea Simeri and Andrea Tagarelli
Alignment Rationale for Query-Document Relevance
Youngwoo Kim, Negin Rahimi and James Allan34

Interactive Query Clarification and Refinement via User Simulation
Pierre Erbacher, Ludovic Denoyer and Laure Soulier
A Meta-learning Approach to Fair Ranking
Yuan Wang, Zhiqiang Tao and Yi Fang
A Multi-Task Based Neural Model to Simulate Users in Goal Oriented
Dialogue Systems
To Eun Kim and Aldo Lipani
Addressing Gender-related Performance Disparities in Neural
Rankers
Shirin Seyedsalehi, Negar Arabzadeh, Amin Bigdeli, Morteza Zihayat
and Ebrahim Bagheri
An MLP-based Algorithm for Efficient
Recommendations
Siwei Liu, Iadh Ounis and Craig Macdonald

Contrastive

Graph

Are Taylor’s Posts Risky? Evaluating Cumulative Revelations in
Online Personal Data: A persona-based tool for evaluating awarenessof online risks and harms
Leif Azzopardi, Jo Briggs, Melissa Duheric, Callum Nash, Emma Nicol,
Wendy Moncur and Burkhard Schafer
Analysing the Robustness of Dual Encoders for Dense Retrieval
Against Misspellings
Georgios Sidiropoulos and Evangelos Kanoulas
Analyzing the Support Level for Tips Extracted from Product Reviews
Miriam Farber, David Carmel, Lital Kuchy and Avihai Mejer
Answering Count Queries with Explanatory Evidence
Shrestha Ghosh, Simon Razniewski and Gerhard Weikum
BERT-based Dense Intra-ranking and Contextualized Late Interaction
via Multi-task Learning for Long Document Retrieval
Minghan Li and Eric Gaussier
C3: Continued Pretraining with Contrastive Weak Supervision for
Cross Language Ad-Hoc Retrieval
Eugene Yang, Suraj Nair, Ramraj Chandradevan, Rebecca IglesiasFlores and Douglas Oard

35

Can Users Predict Relative Query Effectiveness?
Oleg Zendel, Melika Ebrahim, Shane Culpepper, Alistair Moffat andFalk Scholer
Detecting Frozen Phrases in Open-Domain Question Answering
Mostafa Yadegari, Ehsan Kamalloo and Davood Rafiei
Diversity Vs Relevance: A Practical Multi-objective Study in Luxury
Fashion Recommendations
Joao Sa, Vanessa Queiroz Marinho, Ana Rita Magalhaes, Tiago Lacerda
and Diogo Goncalves
Evaluation of Herd Behavior Caused by Population-scale Concept
Drift in Collaborative Filtering
Chenglong Ma, Yongli Ren, Pablo Castells and Mark Sanderson
Expanded Lattice Embeddings for Spoken Document Retrieval on
Informal Meetings
Esau Villatoro-Tello, Srikanth Madikeri, Petr Motlicek, Aravind
Ganapathiraju and Alexei V. Ivanov
Exploiting Session Information in BERT-based
Sequential Recommendation
Jinseok Seol, Youngrok Ko and Sang-Goo Lee

Session-aware

From Cluster Ranking to Document Ranking
Egor Markovskiy, Fiana Raiber, Shoham Sabach and Oren Kurland
From Distillation to Hard Negative Sampling: Making Sparse Neural
IR Models More Effective
Thibault Formal, Carlos Lassance, Benjamin Piwowarski and Stephane
Clinchant
GraFN: Semi-Supervised Node Classification on Graph with Few
Labels via Non-Parametric Distribution Assignment
Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyunand Chanyoung ParkHow Does Feedback Signal Quality Impact Effectiveness of Pseudo
Relevance Feedback for Passage Retrieval?
Hang Li, Ahmed Mourad, Bevan Koopman and Guido Zuccon
Identifying Argumentative Questions in Web Search Logs
Yamen Ajjour, Pavel Braslavski, Alexander Bondarenko and Benno Stein

36

ILMART: Interpretable Ranking with Constrained LambdaMART
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele
Perego and Alberto Veneri
Improving Conversational Recommender Systems via Transformerbased Sequential Modelling
Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun
and Cheng Long
Inconsistent Ranking Assumptions in Medical Search and Their
Downstream Consequences
Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsazand Carsten Eickhoff
InPars: Unsupervised Dataset Generation for Information Retrieval
Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee and Rodrigo Nogueira
AHP: Learning to Negative Sample for Hyperedge Prediction
Hyunjin Hwang, Seungwoo Lee, Chanyoung Park and Kijung Shin
An Efficiency Study for SPLADE Models
Carlos Lassance and Stephane Clinchant
An Explainable Bilingual Text Retrieval System in the Automotive
Domain Viju Sudhi, Sabine Wehnert, Norbert Michael Homner,
Sebastian Ernst, Mark Gonter, Andreas Krug and Ernesto W. De Luca
I know what you need: Investigating Document
Effectiveness with Partial Session Contexts
Procheta Sen, Debasis Ganguly, Gareth J.F. Jones

Retrieval

16:00-17:00
CINE

SIRIP 3 Panel - Information Ecosystem Threats in MinoritizedCommunities: Challenges, Open Problems and Research Directions
Speakers: Shiri Dori-Hacohen - University of Connecticut (UnitedStates), Scott Hale - University of Oxford and Meedan (United Kingdom)

16:30-17:20
VALLE INCLÁN

ICTIR BEST PAPERS
Harrie Oosterhuis: Reaching the End of Unbiasedness: Uncovering
Implicit Limitations of Click-Based Learning to Rank
Xiao Fu, Emine Yilmaz and Aldo Lipani: Evaluating the Cranfield
Paradigm for Conversational Search Systems

37

17:00-18:30
COLUMNASWOMEN IN IR
Chairs: Nazli Goharian- Georgetown University. Faegheh HasibiRadboud University, María Maistro- University of Copenhagen
Speakers: Diane Kelly; Vice Provost for Faculty Affairs, University ofTennessee (Online)
Gabriella Pasi; Head of the Department of Informatics, Systems andCommunication & Vice-Rector for International Relations, Universityof Milano-Bicocca (in-person)

17:20-17:30
VALLE INCLÁN

ICTIR CLOSING

19:00-20:30

MUSIC EVENT. FETÉN FETÉN IN CONCERT38

13th JULY
09:00-10:30
TEATROPAPER SESSION: Recommender Systems 2
Chair: Lizi Liao
MGPolicy: Meta Graph Enhanced Off-policy Learning for
Recommendations
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chenand Guandong Xu
HAKG:
Hierarchy-Aware
Knowledge
Gated
Network
Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng and Yunjun Gao

forAlleviating
Spurious
Correlations
inKnowledge-aware
Recommendations through Counterfactual Generator
Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding
and Ji-Rong Wen
Self-Guided Learning to Denoise for Robust Recommendation
Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang
and Baihua Zheng
Deployable and Continuable Meta-Learning-Based Recommender
System with Fast User-Incremental Updates
Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng
Yang and Xiaoyue Feng
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia and Chenliang Li
09:00-10:30
COLUMNAS

PAPER SESSION: Knowledge Graphs
Chair: Arjen P. de Vries
Incorporating Context Graph with Logical Reasoning for Inductive
Relation Prediction
Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang
and Tianzhe Zhao

39

Hybrid Transformer with Multi-level Fusion for Multimodal
Knowledge Graph Completion
Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan,
Changliang Xu, Fei Huang, Luo Si and Huajun Chen
Re-thinking Knowledge Graph Completion Evaluation from an
Information Retrieval Perspective
Ying Zhou, Xuanang Chen, Ben He, Zheng Ye and Le Sun
Meta-Knowledge Transfer for Inductive Knowledge Graph
Embedding
Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang
Yuan, Changliang Xu and Huajun Chen
Multimodal Entity Linking with Gated Hierarchical Fusion andContrastive Training
Peng Wang, Jiangheng Wu and Xiaohang Chen
09:00-10:30
GÓMEZ SERNA

PAPER SESSION: Collaborative Filtering
Chair: Haolun Wu
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin andJimmy Huang
Geometric Disentangled Collaborative Filtering
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming
Liu, Hao Sun, Liangjie Zhang, Weiwei Deng and Qi Zhang
INMO: A Model-Agnostic and Scalable Module for Inductive
Collaborative Filtering
Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao and Xueqi Cheng
Improving Implicit Alternating Least Squares with Ring-based
Regularization
Rui Fan, Jin Chen, Jin Zhang, Defu Lian and Enhong Chen
Graph Trend Filtering Networks for Recommendation
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang and Qing Li
Learning to Denoise Unreliable Interactions for Graph Collaborative
Filtering
Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang and Wayne Xin Zhao

40

09:00-10:30
M. ZAMBRANOPAPER SESSION: POI and News Recommendation
Chair: Harrie Oosterhuis
Hierarchical Multi-Task Graph Recurrent Network for Next POI
Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong
Weng and Rui Tan
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI
Recommendation
Song Yang, Jiamou Liu and Kaiqi Zhao
Learning Graph-based Disentangled Representations for Next POI
Recommendation
Zhaobo Wang, Yanmin Zhu, Haobing Liu and Chunyang Wang
ProFairRec: Provider Fairness-aware News Recommendation
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang,
Yongfeng Huang and Xing Xie
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Outof-Town Users
Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou and Hui
Xiong
Positive, Negative and Neutral: Modeling Implicit Feedback in
Session-based News Recommendation
Shansan Gong and Kenny Zhu

10:30-11:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

11:00-12:30
TEATROPAPER SESSION: Question Answering
Chair: David Carmel
A Non-Factoid Question-Answering Taxonomy
Valeriia Bolotova, Vladislav Blinov, Falk Scholer, Bruce Croft and Mark
Sanderson
QUASER:
Question
Answeringwith
Scalable
Extractive
Rationalization
Asish Ghoshal, Srini Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott
Yih and Yashar Mehdad

41

PTAU: Prompt Tuning for Attributing Unanswerable Questions
Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai and Jiuyang
Tang
DGQAN: Dual Graph Question-Answer Attention Networks for
Answer Selection
Haitian Yang, Xuan Zhao, Yan Wang, Min Li, Wei Chen and Weiqing
Huang
MyrrorBot: a Digital Assistant Based on Holistic User Models for
Personalized Access to Online Services
Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco De
Gemmis, Pasquale Lops and Giovanni Semeraro
11:00-12:30
COLUMNAS

PAPER SESSION: Conversational IR 2
Chair: Claudia Hauff
Analyzing and Simulating User Utterance
Conversational Recommender Systems
Shuo Zhang, Mu Chun Wang and Krisztian Balog

ReformulationinConversational Question Answering on Heterogeneous Sources
Philipp Christmann, Rishiraj Saha Roy and Gerhard Weikum
Structured and Natural Responses Co-generation for Conversational
SearchChenchen Ye, Lizi Liao, Fuli Feng, Wei Ji and Tat-Seng Chua
Variational Reasoning about User Preferences for Conversational
Recommendation
Zhi Tian, Zhaochun Ren, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin,
Huasheng Liang, Maarten de Rijke and Zhumin ChenA Large Scale Analysis of Mixed Initiative in Information-Seeking
Dialogues for Conversational Search
Svitlana Vakulenko, Evangelos Kanoulas and Maarten de Rijke
Multi-stage Conversational Passage Retrieval: An Approach to
Fusing Term Importance Estimation and Neural Query Rewriting
Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Nogueira, Ming-feng
Tsai, Chuan-Ju Wang and Jimmy Lin

42

11:00-12:30
GÓMEZ SERNA

PAPER SESSION: Reproducibility
Chair: Nicola Ferro
Where Does the Performance Improvement Come From? - A
Reproducibility Concern about Image-Text Retrieval
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu
and Dacheng Tao
State Encoders in Reinforcement Learning for Recommendation: A
Reproducibility Study
Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood andMaarten de Rijke
Another Look at Information Retrieval as Statistical Translation
Yuqi Liu, Chengcheng Hu and Jimmy Lin
Experiments on Generalizability of User-Oriented Fairness in
Recommender Systems
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan andMohammad Aliannejadi
Users and Contemporary SERPs: A (Re-)Investigation: Examining
User Interactions and Experiences
Nirmal Roy, David Maxwell and Claudia Hauff
An Inspection of the Reproducibility and Replicability of TCTColBERT
Xiao Wang, Sean MacAvaney, Craig Macdonald and Iadh Ounis

11:00-12:30
M. ZAMBRANOPAPER SESSION: Cross Domain IR
Chair: Eric Gaussier
DisenCDR: Learning Disentangled Representations for Cross-Domain
Recommendation
Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu and Bin Wang
Structure-Aware Semantic-Aligned Network for Universal CrossDomain Retrieval
Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai and Heng Tao
Shen

43

Dynamics-Aware Adaptation for Reinforcement Learning Based
Cross-Domain Interactive Recommendation
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang and Shuai Li
Exploring Modular Task Decomposition in Cross-domain Named
Entity Recognition
Xinghua Zhang, Bowen Yu, Tingwen Liu, Yubin Wang, Taoyu Su andHongbo Xu
Exploiting Variational Domain-Invariant User Embedding for
Partially Overlapped Cross Domain Recommendation
Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan and
Chaochao Chen
12:30-13:30

LUNCH BREAK. EXHIBITION AREA. SALÓN DE BAILE

12:45-13:15
COLUMNAS

DEI LUNCH: Be connected, Be active, and Be Inclusive
Speaker: Min Zhang

13:30-14:30
TEATROPLENARY: Keynote: Few-shot Information Extraction is here: Pre-train,
Prompt and Entail
Chair: Julio Gonzalo
Speaker: Eneko Agirre

14:30-15:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

15:00-16:30
TEATROPAPER SESSION: Search and Ranking 1
Chair: Benjamin Piwowarski
CharacterBERT and Self-Teaching for Improving the Robustness ofDense Retrievers on Queries with Typos
Shengyao Zhuang and Guido Zuccon
Entity-aware Transformers for Entity Search
Emma Gerritse, Faegheh Hasibi and Arjen de Vries
BERT-ER: Query-Specific BERT Entity Representations for Entity
Ranking
Shubham Chatterjee and Laura Dietz

44

Anytime Ranking on Document-Ordered Indexes
Joel Mackenzie, Matthias Petri and Alistair Moffat
Does More Context Help? Effects of Context Window and Application
Source on Retrieval Performance
Tung Vuong, Salvatore Andolina, Giulio Jacucci, and Tuukka Ruotsalo
Fast Filtering of Search Results Sorted by AttributeFranco Maria Nardini, Roberto Trani and Rossano Venturini
15:00-16:30
COLUMNAS

PAPER SESSION: NLP and Semantics
Chair: Faegheh Hasibi
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic
Guidance
Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li and Suge Wang
Logiformer: A Two-Branch Graph Transformer Network
Interpretable Logical Reasoning
Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan and Lingling Zhang

for

Personalized Abstractive Opinion Tagging
Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, PengjieRen, Maarten de Rijke and Zhaochun Ren
Contrastive Learning with Hard Negative Entities for Entity Set
Expansion
Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen and Hai-Tao
Zheng
Unifying Cross-lingual Summarization and Machine Translation with
Compression Rate
Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan,
Zewen Chi and Boxing Chen
CATS: Customizable Abstractive Topic-based Summarization
Seyed Ali Bahrainian, George Zerveas, Fabio Crestani and Carsten
Eickhoff
15:00-15:50
CINE

SIRIP 4 Keynote: The Role Of GNNs In Improving Search Quality And
Trust
Speaker: Karthik Subbian, Amazon

45

15:00-16:30
GÓMEZ SERNA

PAPER SESSION: Domain-specific IR
Chair: Elad Yom-Tov
Target-aware Abstractive Related Work Generation with Contrastive
Learning
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao
and Xiangliang Zhang
A Study of Cross-Session Cross-Device Search Within an Academic
Digital LibrarySebastian Gomes, Miriam Boon and Orland Hoeber
DAWAR: Diversity-aware Web APIs Recommendation for Mashup
Creation based on Correlation Graph
Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti,
Xiaolong Xu, Chao Yan and Lianyong Qi
Interpreting Patient Descriptions using Distantly Supervised Similar
Case Retrieval
Israa Alghanmi, Luis Espinosa-Anke and Steven Schockaert
KETCH: Knowledge Graph Enhanced Thread Recommendation in
Healthcare Forums
Limeng Cui and Dongwon Lee
Personalizing Medication Recommendation with Graph-based
Approach
Suman Bhoi, Mong Li Lee, Wynne Hsu, Hao Sen Andrew Fang andNgiap Chuan Tan

15:00-16:30
M. ZAMBRANOPAPER SESSION: Social Aspects
Chair: Carsten Eickhoff
Towards Suicide Ideation Detection Through Online Conversational
Context
Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos
Aletras, Preslav Nakov and Lucie Flek
Unsupervised Belief Representation Learning with InformationTheoretic Variational Graph Auto-Encoders
Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang
Li, Shengzhong Liu, Hanghang Tong and Tarek Abdelzaher46

A Multitask Framework for Sentiment, Emotion and Sarcasm aware
Cyberbullying Detection in Multi-modal Code-Mixed Memes
Krishanu Maity, Prince Jha, Sriparna Saha and Pushpak Bhattacharyya
Bias Mitigation for Toxicity Detection via Sequential Decisions
Lu Cheng, Ahmadreza Mosallanezhad, Yasin Silva, Deborah Hall and
Huan Liu
A Weakly Supervised Propagation Model for Rumor Verification andStance Detection with Multiple Instance Learning
Ruichao Yang, Jing Ma, Hongzhan Lin and Wei Gao
SPEX: A Generic Framework for Enhancing Neural Social
Recommendation
Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, and Bingchuan Jiang
16:00-17:00
CINE

SIRIP 5 Tech Section 2 - Novel Applications
Flipping the Script: Inverse Information Seeking Dialogues forMarket Research
Josh Seltzer, Kathy Cheng - Nexxt Intelligence (Canada)Shi Zong andJimmy Lin. – University of Waterloo (Canada)
An Auto Encoder-based Dimensionality Reduction Technique for
Efficient Entity Linking in Business Phone Conversations
Md Tahmid Rahman Laskar, Cheng Chen, Jonathan Johnston, XueYong Fu, Shashi Bhushan Tn and Simon Corston-Oliver - Dialpad
Canada Inc. (Canada)
DDEN:A Heterogeneous Learning-to-Rank Approach with Deep
Debiasing Experts Network
Yiran Wang, Wenchao Xiu, Taofeng Xue, Qin Zhang, Kai Zhang,
Zhonghuo Wu, Yifan Yang and Gong Zhang - Meituan (China) Qiaowen
Tan - Tongji University (China)
Organizing Portuguese Legal Documents through Topic Discovery
Daniela Vianna and Edleno Moura - Universidade Federal do Amazonas(Brazil) and Jusbrasil (Brazil)

47

16:30-18:00
POSTERS AND DEMOS 2
SALÓN DE BAILE
Knowledge Graph Question Answering Datasets andGeneralizability: Are They Enough for Future Research?
Longquan Jiang and Ricardo Usbeck

Their

MIMICS-Duo: Offline & Online Evaluation of Search Clarification
Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer andMark Sanderson
RELISON: A Framework for Link Recommendation in Social Networks
Javier Sanz-Cruzado and Pablo Castells
The Istella22 Dataset: Bridging Traditional and Neural Learning to
Rank Evaluation
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele
Perego and Nicola Tonellotto
Too Many Relevants: Whither Cranfield Test Collections?
Ellen Voorhees, Nick Craswell and Jimmy Lin
ViQuAE, a Dataset for Knowledge-based Visual Question Answering
about Named Entities
Paul Lerner, Olivier Ferret, Camille Guinaudeau, Herve Le Borgne,
Romaric Besancon, Jose G Moreno and Jesus Lovon Melgarejo
Wikimarks: Harvesting Relevance Benchmarks from Wikipedia
Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi,
Pooja Oza and Ben Gamari
Would You Ask it that Way? Measuring and Improving Question
Naturalness for Knowledge Graph Question Answering
Trond Linjordet and Krisztian Balog
Fostering Coopetition While Plugging Leaks: The Design and
Implementation of the MS MARCO Leaderboards
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra and Emine Yilmaz
MuMiN: A Large-Scale Multilingual Multimodal
Misinformation Social Network Dataset
Dan Saattrup Nielsen and Ryan McConvilleFact-Checked

ORCAS-I: Queries Annotated with Intent using Weak Supervision
Daria Alexander, Wojciech Kusa and Arjen P. de Vries

48

DEMOS
Online DATEing: A Web Interface for Temporal Annotations
Dennis Aumiller, Satya Almasian, David Pohl and Michael Gertz
Qfinder: A Framework for Quantity-centric Ranking
Satya Almasian, Milena Bruseva and Michael Gertz
Quote Erat Demonstrandum: A Web Interface for Exploring the
Quotebank Corpus
Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz andRobert WestROGUE: A System for Exploratory Search of GANs
Yang Liu, Alan Medlar and Dorota Glowacka
SpaceQA: Answering Questions about the Design of Space Missions
and Space Craft Concepts
Andres Garcia-Silva, Cristian Camilo Berrio Aroca, Jose ManuelGomez-Perez, Jose Antonio Martinez-Heras, Alessandro Donati andIlaria Roma
TARexp: A Python Framework for Technology-Assisted Review
Experiments
Eugene Yang and David Lewis
TaskMAD: A Platform for Multimodal Task-Centric KnowledgeGrounded Conversational Experimentation
Alessandro Speggiorin, Jeffrey Dalton and Anton Leuski
SparCAssist: A Model Risk Assessment Assistant Based on Sparse
Generated Counterfactuals ONLINE
Zijian Zijian, Vinay Setty and Avishek Anand
Faster Learned Sparse Retrieval with Guided Traversal
Antonio Mallía, Joel Mackenzie, Torsten Suel and Nicola Tonellotto
Learned Token Pruning in Contextualized Late Interaction over BERT(ColBERT)
Carlos Lassance, Maroua Maachou, Joohee Park and Stephane
Clinchant49

Learning to Rank Knowledge Sub-Graph Nodes for Entity Retrieval
Parastoo Jafarzadeh, Zahra Amirmahani and Faezeh Ensan
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient
Estimation with Minimal Computational Complexity
Harrie Oosterhuis
Lightweight Meta-Learning for Low-Resource Abstractive Summarization
Taehun Huh and Youngjoong Ko
Long Document Re-ranking with Modular Re-ranker
Luyu Gao and Jamie Callan
Mitigating Bias in Search Results through Contextual Document
Reranking and Neutrality Regularization
George Zerveas, Navid Rekabsaz, Daniel Cohen and Carsten Eickhoff
Revisiting Two-tower Models for Unbiased Learning to Rank
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky
and Marc Najork
On Optimizing Top-K Metrics for Neural Ranking Models
Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky and Marc
NajorkOn Extractive Summarization for Profile-centric Neural Expert
Search in Academia
Rennan Lima and Rodrygo Santos
Neural Query Synthesis and Domain-Specific Ranking Templates forMulti-Stage Clinical Trial Matching
Ronak Pradeep, Yilin Li, Yuetong Wang and Jimmy Lin
Multi-modal Graph Contrastive Learning for
Recommendation
Zixuan Yi, Xi Wang, Craig Macdonald and Iadh Ounis

Micro-videoQSG Transformer: Transformer with Query-Attentive Semantic Graph
for Query-Focused Summarization
Choongwon Park and Youngjoong Ko
Tensor-based Graph Modularity for Text Data Clustering
Rafika Boutalbi, Mira Ait-Saada, Anastasiia Iurshina, Steffen Staab andMohamed Nadif

50

Unlearning Protected User Attributes in Recommendations with
Adversarial Training
Christian Ganhor, David Penz, Navid Rekabsaz, Oleg Lesota andMarkus Schedl
Topological Analysis of Contradictions in Text
Xiangcheng Wu, Xi Niu and Ruhani Rahman
Towards
Results-level
Proportionality
Recommender Systems
Ladislav Peska and Patrik Dokoupil

forMulti-objective

Towards Validating Long-Term User Feedbacks in Interactive
Recommendation Systems
Hojoon Lee, Dongyoon Hwang, Kyushik Min and Jaegul Choo
Understanding User Satisfaction with Task-oriented Dialogue
Systems
Clemencia Siro, Mohammad Aliannejadi and Maarten de Rijke
MP2: A Momentum Contrast Approach for Recommendation with
Pointwise and Pairwise Learning
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming
Shen, Mingming Gong and Philip Torr
Which Discriminator for Cooperative Text Generation?
Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano,
Benjamin Piwowarski, Ewa Kijak and Vincent Claveau
Zero-shot Query Contextualization for Conversational Search
Antonios Minas Krasakis, Andrew Yates and Evangelos Kanoulas
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang
Ma, Jimmy Lin and Guido Zuccon
Modern baselines for SPARQL Semantic Parsing
Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck
and Chris Biemann
Learning Trustworthy Web Sources to Derive Correct Answers andReduce Health Misinformation in Search
Dake Zhang, Amir Vakili Tahami, Mustafa Abualsaud and Mark Smucker

51

Modeling User Behavior With Interaction Networks for Spam
Detection
Prabhat Agarwal, Manisha Srivastava, Vishwakarma Singh and Chuck
Rosenburg
I know what you need: Investigating Document
Effectiveness with Partial Session Contexts
Procheta Sen, Debasis Ganguly, Gareth J.F. Jones

Retrieval

A ‘Pointwise-Query, Listwise- Document’ based Query Performance
Prediction Approach
Suchana Datta, Sean MacAvaney, Debasis Ganguly and Derek Greene
17:10-18:10
CINE

SIRIP 6 Panel: Applications and Future of Dense Retrieval in Industry
Speaker: Yubin Kim - Etsy, Inc. (United States)

19:00-00:00

BANQUET. PALACIO NEGRALEJO

52

14th JULY
09:00-10:30
TEATROPAPER SESSION: Search and Ranking 2
Chair: Guido Zuccon
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search
Xiaokai Chu, Jiashu Zhao, Lixin Zou and Dawei Yin
Incorporating Explicit Knowledge in Pre-trained Language Models
for Passage Re-ranking
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng,
Shuzi Niu and Dawei Yin
Webformer: Pre-training with Web Pages for Information Retrieval
Yu Guo , Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao
Jiang, Zhao Cao and Zhicheng Dou
Distill-VQ: Learning Retrieval Oriented Vector Quantization By
Distilling Knowledge from Dense Embeddings
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun
Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao and Xing Xie
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang
Li and Aixin Sun
Are Topics Interesting or Not? An LDA-based Topic-graph
Probabilistic Model for Web Search Personalization
Jiashu Zhao, Jimmy Huang, Hongbo Deng, Yi Chang and Long Xia

09:00-10:30
COLUMNAS

PAPER SESSION: Recommender Systems 3
Chair: Ludovico BorattoLess is More: Reweighting Important Spectral Graph Features for
Recommendation
Shaowen Peng, Kazunari Sugiyama and Tsunenori Mine
Are
Graph
Augmentations
Necessary?
SimpleGraphContrastive¬†Learning for Recommendation
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui and Quoc
Viet Hung Nguyen

53

User-Aware Multi-Interest Learning for Candidate Matching in
Recommenders
Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei
Wu, Jingxu Chen and Haihong Tang
Multi-Level Interaction Reranking with User Behavior History
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming
Tang, Rui Zhang, Weinan Zhang and Yong Yu
Rethinking Reinforcement Learning for Recommendation: A Prompt
Perspective
Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren,
Konstantina Christakopoulou and Zhaochun Ren
Multi-level Cross-view Contrastive Learning for Knowledge-aware
Recommender System
Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida
Zhu and Xin Cao
09:00-10:30
GÓMEZ SERNA

PAPER SESSION: Sequential Recommendations
Chair: Maria Maistro
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for
Sequential Recommendation
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li
and Xing Xie
Decoupled Side Information Fusion for Sequential Recommendation
Yueqi Xie, Peilin Zhou and Sunghun Kim
Multi-Agent RL-based Information Selection Model for Sequential
Recommendation
Kaiyuan Li, Pengfei Wang and Chenliang Li
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Modelfor Sequential Recommendation
Yu Tian, Jianxin Chang, Yanan Niu, Yang Song and Chenliang Li
Multi-Behavior Sequential Transformer Recommender
Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu andRuiming Tang

54

Determinantal
Point
Process
Likelihoods
Recommendation
Yuli Liu, Christian Walder and Lexing Xie
09:00-10:30
M. ZAMBRANO

for

Sequential

PAPER SESSION: Multimedia IR
Chair: Julián Urbano
Learn from Unlabeled Videos for Near-duplicate Video Retrieval
Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv and Yuxin Peng
Progressive Learning for Image Retrieval with Hybrid-Modality
Queries
Yida Zhao, Yuqing Song and Qin Jin
You Need to Read Again: Multi-granularity Perception Network for
Moment Retrieval in Videos
Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu and Xi Zhou
Video Moment Retrieval from Text Queries via Single Frame
Annotation
Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen,
Xiaowei Guo, Huyang Sun and Yu-Gang Jiang

10:30-11:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

11:00-12:30
TEATROPAPER SESSION: Explainable Search and Recommendation
Chair: Norbert Fuhr
Post Processing Recommender Systems with Knowledge Graphs for
Recency, Popularity, and Diversity of Explanations
Giacomo Balloccu, Ludovico Boratto, Mirko Marras and Gianni Fenu
Explainable Legal Case Matching via Inverse Optimal Transportbased Rationale Extraction
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng
Xu and Ji-Rong Wen
Towards Explainable Search Results: A Listwise Explanation
Generator
Puxuan Yu, Razieh Rahimi and James Allan

55

Explainable Fairness in Recommendation
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, ShuchangLiu, Zuohui Fu, Shijie Geng, Zelong Li and Yongfeng Zhang
PEVAE: A Hierarchical
Recommendation.
Zefeng Cai and Zerui Cai

VAE

for

Personalized

Explainable

An Unsupervised Aspect-aware Recommendation Model with
Explanation Text Generation
Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang

11:00-12:30
COLUMNAS

PAPER SESSION: IR Models
Chair: Jaap Kamps
Structure and Semantics Preserving Document Representations
Natraj Raman, Sameena Shah and Manuela Veloso
Counterfactual Learning To Rank for Utility-Maximizing Query
Autocompletion
Adam Block, Rahul Kidambi, Daniel Hill, Thorsten Joachims andInderjit Dhillon
Risk-Sensitive Deep Neural Learning to Rank
Pedro Henrique Silva Rodrigues, Daniel Xavier Sousa, Thierson Couto
Rosa and Marcos Andre Goncalves
LoL: A Comparative Regularization Loss over Query Reformulation
Losses for Pseudo-Relevance Feedback
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen and Xueqi Cheng
Pre-train a Discriminative Text Encoder for Dense Retrieval via
Contrastive Span Prediction
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan and Xueqi Cheng
Topic Difficulty: Collection and Query Formulation Effects
Shane Culpepper, Guglielmo Faggioli, Nicola Ferro and Oren Kurland56

11:00-12:30
GÓMEZ SERNA

PAPER SESSION: Fairness in IR
Chair: Mark Sanderson
Joint Multisided Exposure Fairness for Recommendation
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz and Xue Liu
Probabilistic Permutation Graph Search: Black-Box Optimization for
Fairness in Ranking
Ali Vardasbi, Fatemeh Sarvi and Maarten de Rijke
Measuring Fairness in Ranked Results: An Analytical and Empirical
Comparison
Amifa Raj and Michael Ekstrand
Optimizing Generalized Gini Indices for Fairness in Rankings
Virginie Do and Nicolas Usunier
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a
DBN Exposure Model
Till Kletti, Jean-Michel Renders and Patrick Loiseau
Fairness of Exposure in Light of Incomplete Exposure Estimation
Maria Heuss, Fatemeh Sarvi and Maarten de Rijke

11:00-12:30
M. ZAMBRANOPAPER SESSION: Domain Specific IR
Chair: Suzan Verberne
Introducing Problem Schema with Hierarchical Exercise Graph forKnowledge Tracing
Hanshuang Tong, Zhen Wang, Qi Liu, Yun Zhou, Shiwei Tong and
Wenyuan Han
Incorporating Retrieval Information into the Truncation of Ranking
Lists for Better Legal Search
Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang
and Shaoping Ma
MetaCare++: Meta-Learning with Hierarchical Subtyping for ColdStart Diagnosis Prediction in Healthcare Data
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu,
Longfei Li, Jun Zhou and Xiaolin Zheng

57

Few-shot Node Classification on Attributed Networks with Graph
Meta-learning
Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Fengand Renchu Guan
Personalized Fashion Compatibility Modeling via Metapath-guided
Heterogeneous Graph Learning
Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing
Yeh and Xiaojun Chang
Recognizing Medical Search Query Intent by Few-shot Learning
Yaqing Wang, Song Wang, Li Yanyan and Dejing Dou
12:30-13:30

LUNCH BREAK. EXHIBITION AREA. SALÓN DE BAILE

12:45-14:15
COLUMNAS

BUSINESS MEETING

13:30-15:30
TEATROPLENARY: Keynote Ruhi Sarikaya. Intelligent Conversational Agentsfor Ambient Computing
Chair: Gabriella Kazai
Speaker: Ruhi Sarikaya

15:30-16:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

16:00-17:30
TEATROPLENARY: Panel- Search, Recommendation and infodemics: spreading
misinformation versus editorializing the truth
Moderator: Laura Dietz
Ricardo Baeza-Yates (NorthEastern University, USA)
Maarten de Rijke (University of Amsterdam, Netherlands)(moderator) Laura Dietz (University of New Hampshire, USA)
Joan Donovan (Shorenstein Center on Media, Politics and Public
Policy, USA)
Tarleton Gillespie (Microsoft Research New England, USA)
Ellen Voorhees (NIST, USA)
Arkaitz Zubiaga (Queen Mary University of London, UK)58

16:00-17:35
CINE

SIRIP SESSION 7: Tech Section 3- E-Commerce and Services
Unsupervised Product Offering Title Quality Scores
Henry Vieira - Magalu Labs (Brazil)
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot:
With Real-World After-Sale Services as Example
Xiangyu Xi, Wei Ye - Peking University (China), Chenxu Lv, YunchengHua, Chaobo Sun, Shuaipeng Liu, Fan Yang and Guanglu Wan Meituan (China)
An Intelligent Advertisement Short Video Production System via
Multi-Modal Retrieval
Yanheng Wei and Yanhao Zhang - Alibaba Group (China)
An Industrial Framework for Cold-Start Recommendation in ZeroShot Scenarios
Zhaoxin Huan, Gong-Duo Zhang, Xiaolu Zhang, Jun Zhou, Qintong
Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu and Linjian Mo - Antgroup(China)Scalable User Interface Optimization Using Combinatorial Bandits
Ioannis Kangas, Maud Schwoerer and Lucas Bernardi - Booking.com(Netherlands)

17:30-18:00
TEATROCLOSING

59

15th JULY
09:00-10:30
COLUMNAS

WORKSHOP: 1st Workshop on Reaching Efficiency in Neural
Information Retrieval (ReNeuIR) 1
Organizers: Sebastian Bruch (Pinecone), Claudio Lucchese (Università
Ca’ Foscari di Venezia), Franco Maria Nardini (ISTI-CNR)

09:00-10:30
CINE

WORKSHOP: 3rd Workshop on Deep Reinforcement Learning for
Information Retrieval (DRL4IR) 1
Organizers: Xiangyu Zhao (City University of Hong Kong), Xin Xin(Shandong University), Weinan Zhang (Shanghai Jiao Tong University),
Li Zhao (Microsoft Research Asia), Dawei Yin (Baidu), Grace Hui Yang
(Georgetown University)

09:00-10:30
GÓMEZ SERNAWORKSHOP: 7th Workshop on Search-Oriented Conversational
Artificial Intelligence (SCAI) 1
Organizers: Svitlana Vakulenko (Amazon Alexa AI), Ondrej Dusek(Charles University), Leigh Clark (Swansea University), Gustavo
Penha (Delft University of Technology), Vaishali Pal (University of
Amsterdam), Vaibhav Adlakha (McGill University)

09:00-10:30
VALLE INCLÁN

WORKSHOP: 1st Workshop on Measuring the Quality of Explanations
in Recommender Systems (QUARE) 1
Organizers: Alessandro Piscopo (BBC), Oana Inel (University of Zurich),
Sanne Vrijenhoek (University of Amsterdam), Martijn Millecamp (AE)and Krisztian Balog (Google)

09:00-10:30
M. ZAMBRANOWORKSHOP: 6th Workshop on eCommerce (ECOM) 1
Organizers: Ajinkya Kale (Adobe), Surya Kallumadi (Lowe’s), Tracy
Holloway King (Adobe), Shervin Malmasi (Amazon), Maarten de Rijke(​University of Amsterdam), Jacopo Tagliabue (Coveo)60

09:00-10:30
M. MOLINERWORKSHOP: 10th Workshop on News Recommendation and Analytics(INRA) 1
Organizers: Özlem Özgöbek (Associate Professor, NTNU) Andreas
Lommatzsch (PostDoc, DAI Lab, TU Berlin), Benjamin Kille (PostDoc,
NorwAI, NTNU), Peng Liu (PostDoc, NorwAI, NTNU), Edward C.
Malthouse (Professor, Northwestern University) and Jon Atle Gulla(Professor, NorwAI, NTNU)

09:00-10:30
A. PALACIOSWORKSHOP: 3rd Workshop on Patent Text Mining and Semantic
Technologies (PatentSemTech) 1
Organizers: Ralf Krestel (HPI Potsdam), Hidir Aras (FIZ Karlsruhe),Allan Hanbury (TU Wien), Linda Andersson (Artificial Researcher),
Florina Piroi (Data Science Studio), Dean Alderucci (CMU)

10:30-11:00

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

11:00-12:30
COLUMNAS

WORKSHOP: 1st Workshop on Reaching Efficiency in Neural
Information Retrieval (ReNeuIR) 2
Organizers: Sebastian Bruch (Pinecone), Claudio Lucchese (Università
Ca’ Foscari di Venezia), Franco Maria Nardini (ISTI-CNR)

11:00-12:00
CINE

WORKSHOP: 3rd Workshop on Deep Reinforcement Learning for
Information Retrieval (DRL4IR) 2
Organizers: Xiangyu Zhao (City University of Hong Kong), Xin Xin(Shandong University), Weinan Zhang (Shanghai Jiao Tong University),
Li Zhao (Microsoft Research Asia), Dawei Yin (Baidu), Grace Hui Yang
(Georgetown University)

11:00-12:30
GÓMEZ SERNAWORKSHOP: 7th Workshop on Search-Oriented Conversational
Artificial Intelligence (SCAI) 2
Organizers: Svitlana Vakulenko (Amazon Alexa AI), Ondrej Dusek(Charles University), Leigh Clark (Swansea University), Gustavo
Penha (Delft University of Technology), Vaishali Pal (University of
Amsterdam), Vaibhav Adlakha (McGill University)61

11:00-12:30
VALLE INCLÁN

WORKSHOP: 1st Workshop on Measuring the Quality of Explanations
in Recommender Systems (QUARE) 2
Organizers: Alessandro Piscopo (BBC), Oana Inel (University of Zurich),
Sanne Vrijenhoek (University of Amsterdam), Martijn Millecamp (AE)and Krisztian Balog (Google)

11:00-12:30
M. ZAMBRANOWORKSHOP: 6th Workshop on eCommerce (ECOM) 2
Organizers: Ajinkya Kale (Adobe), Surya Kallumadi (Lowe’s), Tracy
Holloway King (Adobe), Shervin Malmasi (Amazon), Maarten de Rijke(​University of Amsterdam), Jacopo Tagliabue (Coveo)

11:00-12:30
M. MOLINERWORKSHOP: 10th Workshop on News Recommendation and Analytics(INRA) 2
Organizers: Özlem Özgöbek (Associate Professor, NTNU) Andreas
Lommatzsch (PostDoc, DAI Lab, TU Berlin), Benjamin Kille (PostDoc,
NorwAI, NTNU), Peng Liu (PostDoc, NorwAI, NTNU), Edward C.
Malthouse (Professor, Northwestern University) and Jon Atle Gulla(Professor, NorwAI, NTNU)

11:00-12:30
A. PALACIOSWORKSHOP: 3rd Workshop on Patent Text Mining and Semantic
Technologies (PatentSemTech) 2
Organizers: Ralf Krestel (HPI Potsdam), Hidir Aras (FIZ Karlsruhe),Allan Hanbury (TU Wien), Linda Andersson (Artificial Researcher),
Florina Piroi (Data Science Studio), Dean Alderucci (CMU)

12:30-13:30

LUNCH BREAK. EXHIBITION AREA. SALÓN DE BAILE

13:30-15:00
COLUMNAS

WORKSHOP: 1st Workshop on Reaching Efficiency in Neural
Information Retrieval (ReNeuIR) 3
Organizers: Sebastian Bruch (Pinecone), Claudio Lucchese (Università
Ca’ Foscari di Venezia), Franco Maria Nardini (ISTI-CNR)62

13:30-15:00
GÓMEZ SERNAWORKSHOP: 7th Workshop on Search-Oriented Conversational
Artificial Intelligence (SCAI) 3
Organizers: Svitlana Vakulenko (Amazon Alexa AI), Ondrej Dusek(Charles University), Leigh Clark (Swansea University), Gustavo
Penha (Delft University of Technology), Vaishali Pal (University of
Amsterdam), Vaibhav Adlakha (McGill University)

13:30-15:00
VALLE INCLÁN

WORKSHOP: 3rd International Workshop on Investigating Learning
During Web Search (IWILDS) 1
Organizers: Anett Hoppe (Leibniz Information Centre for Science &Technology), Jiqun Liu (University of Oklahoma), Ran Yu (Universityof Bonn)

13:30-15:00
M. ZAMBRANOWORKSHOP: 6th Workshop on eCommerce (ECOM) 3
Organizers: Ajinkya Kale (Adobe), Surya Kallumadi (Lowe’s), Tracy
Holloway King (Adobe), Shervin Malmasi (Amazon), Maarten de Rijke(​University of Amsterdam), Jacopo Tagliabue (Coveo)

13:30-15:00
M. MOLINERWORKSHOP: 10th Workshop on News Recommendation and Analytics(INRA) 3
Organizers: Özlem Özgöbek (Associate Professor, NTNU) Andreas
Lommatzsch (PostDoc, DAI Lab, TU Berlin), Benjamin Kille (PostDoc,
NorwAI, NTNU), Peng Liu (PostDoc, NorwAI, NTNU), Edward C.
Malthouse (Professor, Northwestern University) and Jon Atle Gulla(Professor, NorwAI, NTNU)

13:30-15:00
A. PALACIOSWORKSHOP: 3rd Workshop on Patent Text Mining and Semantic
Technologies (PatentSemTech) 3
Organizers: Ralf Krestel (HPI Potsdam), Hidir Aras (FIZ Karlsruhe),Allan Hanbury (TU Wien), Linda Andersson (Artificial Researcher),
Florina Piroi (Data Science Studio), Dean Alderucci (CMU)

15:00-15:30

COFFEE BREAK. EXHIBITION AREA. SALÓN DE BAILE

15:30-17:00
COLUMNAS

WORKSHOP: 1st Workshop on Reaching Efficiency in Neural
Information Retrieval (ReNeuIR) 4
Organizers: Sebastian Bruch (Pinecone), Claudio Lucchese (Università
Ca’ Foscari di Venezia), Franco Maria Nardini (ISTI-CNR)63

15:30-17:00
GÓMEZ SERNAWORKSHOP: 7th Workshop on Search-Oriented Conversational
Artificial Intelligence (SCAI) 4
Organizers: Svitlana Vakulenko (Amazon Alexa AI), Ondrej Dusek(Charles University), Leigh Clark (Swansea University), Gustavo
Penha (Delft University of Technology), Vaishali Pal (University of
Amsterdam), Vaibhav Adlakha (McGill University)

15:30-17:00
VALLE INCLÁN

WORKSHOP: 3rd International Workshop on Investigating Learning
During Web Search (IWILDS) 2
Organizers: Anett Hoppe (Leibniz Information Centre for Science &Technology), Jiqun Liu (University of Oklahoma), Ran Yu (Universityof Bonn)

15:30-17:00
M. ZAMBRANOWORKSHOP: 6th Workshop on eCommerce (ECOM) 4
Organizers: Ajinkya Kale (Adobe), Surya Kallumadi (Lowe’s), Tracy
Holloway King (Adobe), Shervin Malmasi (Amazon), Maarten de Rijke(​University of Amsterdam), Jacopo Tagliabue (Coveo)

15:30-17:00
M. MOLINERWORKSHOP: 10th Workshop on News Recommendation and Analytics(INRA) 4
Organizers: Özlem Özgöbek (Associate Professor, NTNU) Andreas
Lommatzsch (PostDoc, DAI Lab, TU Berlin), Benjamin Kille (PostDoc,
NorwAI, NTNU), Peng Liu (PostDoc, NorwAI, NTNU), Edward C.
Malthouse (Professor, Northwestern University) and Jon Atle Gulla(Professor, NorwAI, NTNU)

15:30-17:00
A. PALACIOSWORKSHOP: 3rd Workshop on Patent Text Mining and Semantic
Technologies (PatentSemTech) 4
Organizers: Ralf Krestel (HPI Potsdam), Hidir Aras (FIZ Karlsruhe),Allan Hanbury (TU Wien), Linda Andersson (Artificial Researcher),
Florina Piroi (Data Science Studio), Dean Alderucci (CMU)64