yusuke1997/dblp-id-title huggingface dataset:
Semantic Explorer - navigation in documents collections, Proxima Daily - learning personal newspaper
Towards a Gamified System to Improve Translation for Online Meetings
IR, NLP, AI and UFOS: Or IR-Relevance, Natural Language Problems, Artful Intelligence and User-Friendly Online Systems
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
An artificial intelligence approach to information retrieval (abstract only)
Evaluating Multi-Dimensional Cumulated Utility in Information Retrieval
User evaluation of query quality
Aspect-based opinion mining from product reviews
Entity linking by focusing DBpedia candidate entities
Transactional Log Analysis: Online Catalogs
Finding impressive social content creators: searching for SNS illustrators using feedback on motifs and impressions
MICROARRAS: An Advanced Full-Text Retrieval and Analysis System
Learning Early Exit Strategies for Additive Ranking Ensembles
BitFunnel: Revisiting Signatures for Search
Fighting search engine amnesia: reranking repeated results
On predicting religion labels in microblogging networks
Event Recommendation based on Graph Random Walking and History Preference Reranking
Leveraging Metropolis-Hastings Algorithm on Graph-based Model for Multimodal IR
Product retrieval for grocery stores
Multi-label informed latent semantic indexing
Modeling action-level satisfaction for search task satisfaction prediction
Multi-field learning for email spam filtering
StarSum: A Simple Star Graph for Multi-document Summarization
SOPING: a Chinese customer review mining system
Manhattan hashing for large-scale image retrieval
Learning to select rankers
Guilt by association as a search principle
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training
Using anchor texts with their hyperlink structure for web search
Operationalizing the Legal Principle of Data Minimization for Personalization
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues
Large Language Models for Intent-Driven Session Recommendations
Retrieving information from the book of humanity: the personalized medicine data tsunami crashes on the beach of jeopardy
Going Beyond Relevance: Incorporating Effort in Information Retrieval
The SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums
Proceedings of the Medical Information Retrieval Workshop at SIGIR co-located with the 37th annual international ACM SIGIR conference (ACM SIGIR 2014), Gold Coast, Australia, July 11, 2014
cwl_eval: An Evaluation Tool for Information Retrieval
Protein identification as an information retrieval problem
The effect of OCR errors on stylistic text classification
Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR
UGRec: Modeling Directed and Undirected Relations for Recommendation
Investigating the relevance of sponsored results for web ecommerce queries
A Collection for Detecting Triggers of Sentiment Spikes
Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations
RLStop: A Reinforcement Learning Stopping Method for TAR
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Serial Sharers: Detecting Split Identities of Web Authors
Using PageRank to infer user preferences
A rank-aggregation approach to searching for optimal query-specific clusters
Towards subjectifying text clustering
Find Shoes Like These
The Role of Relevance in Fair Ranking
Where Do Queries Come From?
News vertical search: when and what to display to users
Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
Bootstrap Deep Metric for Seed Expansion in Attributed Networks
BRENDA: Browser Extension for Fake News Detection
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks
Location and timeliness of information sources during news events
An empirical study on retrieval models for different document genres: patents and newspaper articles
How many results per page?: A Study of SERP Size, Search Behavior and User Experience
VIRLab: a web-based virtual lab for learning and studying information retrieval models
Identify Shifts of Word Semantics through Bayesian Surprise
Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval
Click-based Hot Fixes for Underperforming Torso Queries
IR-NLI II: Applying Man-Machine Interaction and Artificial Intelligence Concepts to Information Retrieval
Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval
High-dimensional visual vocabularies for image retrieval
Challenges in the Development of Effective Systems for Professional Legal Search
Bloggers as experts: feed distillation using expert retrieval models
ReCoM: reinforcement clustering of multi-type interrelated data objects
Structure-driven crawler generation by example
Evaluating web search using task completion time
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition
Text filtering by boosting naive bayes classifiers
Towards a Framework for Harm Prevention in Web Search
Intelligent Support for Interface Systems
Efficient estimation of aspect weights
Entity Retrieval Docker Image for OSIRRC at SIGIR 2019
Speech-based and video-supported indexing of multimedia broadcast news
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation
IR evaluation methods for retrieving highly relevant documents
Retrieving Relevant Conversations for Q&A on Twitter
Modelling User Search Behaviour Based on Process
Data Compression Techniques for Economic Processing of Large Commercial Files
Improving Collaborative Metric Learning with Efficient Negative Sampling
Document Retrieval Facilities for Repository-Based System Development Environments
EditKG: Editing Knowledge Graph for Recommendation
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion
Search as Learning (SAL) Workshop 2016
Predicting query difficulty on the web by learning visual clues
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
An Empirical Comparison of Web Content Extraction Algorithms
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
Propensity-Independent Bias Recovery in Offline Learning-to-Rank Systems
Form-NLU: Dataset for the Form Natural Language Understanding
Evaluation of filtering current news search results
Latent concepts and the number orthogonal factors in latent semantic analysis
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling
Inquiry Assistant Using LLM-Generated Knowledge Graphs
An Homogeneous Framework to Model Relevance Feedback
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
A Complete Model for Information Retrieval Systems
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation
Hypergeometric language models for republished article finding
Where to stop reading a ranked list?: threshold optimization using truncated score distributions
Boosting and Rocchio Applied to Text Filtering
Learning query intent from regularized click graphs
Personalized query expansion for the web
BlogCast effect on information diffusion in a blogosphere
Progress Report on Automatic Information Retrieval
Learning to Ask Questions for Zero-shot Dialogue State Tracking
A Dual-Embedding Based DQN for Worker Recruitment in Spatial Crowdsourcing with Social Network
Investigating Aboutness Axioms using Information Fields
Information Diffusion Prediction via Cascade-Retrieved In-context Learning
Large Language Models are Learnable Planners for Long-Term Recommendation
Information Filtering Based on User Behaviour Analysis and Best Match Text Retrieval
Search Behaviour Before and After Search Success
Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'96, August 18-22, 1996, Zurich, Switzerland (Special Issue of the SIGIR Forum)
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction
Personalization of search results using interaction behaviors in search sessions
The Emotion Profile of Web Search
Revisiting Online Personal Search Metrics with the User in Mind
Personalized recommendation driven by information flow
User interface effects in past batch versus user experiments
Next-item Recommendation with Sequential Hypergraphs
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments
Rethinking Correlation-based Item-Item Similarities for Recommender Systems
Noise-aware Missing Shipment Return Comment Classification in e-Commerce
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
Identifying Argumentative Questions in Web Search Logs
Building Test Collections for Evaluating Temporal IR
Effective collection metasearch in a hierarchical environment: global vs. localized retrieval performance
Effective Music Feature NCP: Enhancing Cover Song Recognition with Music Transcription
Ranking by community relevance
Biomedical cross-language information retrieval
Multi-style language model for web scale information retrieval
WeChat Search & Headline: Sogou Joins Force with Tencent on Mobile Search
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection
An Approach to Natural Language Processing for Document Retrieval
Which Information Sources are More Effective and Reliable in Video Search
Design of a Reusable IR Framework
Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples
Automated Graph Learning via Population Based Self-Tuning GCN
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation
Expedition: A Time-Aware Exploratory Search System Designed for Scholars
Example-based phrase translation in Chinese-English CLIR
Impact transformation: effective and efficient web retrieval
A Dual Structured Data Base System
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
The effect of threshold priming and need for cognition on relevance calibration and assessment
Stuff I've seen: a system for personal information retrieval and re-use
Long Document Re-ranking with Modular Re-ranker
Automatic extension of non-english wordnets
Automated Monitoring to Support the Analysis and Evaluation of Information Systems
Answer-enhanced Path-aware Relation Detection over Knowledge Base
The Generalized Retrieval Problem
User centered story tracking
Viewing Morphology as an Inference Process
Community-based snippet-indexes for pseudo-anonymous personalization in web search
Towards Language Independent Automated Learning of Text Categorisation Models
Ranking User-Generated Content via Multi-Relational Graph Convolution
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder
Noise Contrastive Estimation for One-Class Collaborative Filtering
A study of learning a merge model for multilingual information retrieval
Towards Virtual Knowledge Communities in Peer-to-Peer Networks
On Measuring Learning in Search: A Position Paper
Network-Aware Recommendations of Novel Tweets
HC3: A Suite of Test Collections for CLIR Evaluation over Informal Text
File Organizations and Access Methods for CLV Optical Disks
Good Evaluation Measures based on Document Preferences
Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems
Winnowing wheat from the chaff: propagating trust to sift spam from the web
A comparative evaluation of different link types on enhancing document clustering
Predicting users' domain knowledge from search behaviors
Denoising Time Cycle Modeling for Recommendation
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation
Learning to Re-rank with Constrained Meta-Optimal Transport
The Use of Phrases and Structured Queries in Information Retrieval
A Model of Information Retrieval Based on a Terminological Logic
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
Understanding Audio-Text Retrieval Through Singular Value Decomposition
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Action modeling: language models that predict query behavior
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking
Information Access Across the Language Barrier: The MuST System (demonstration abstract)
Fairness and Transparency in Ranking
Analyzing and Predicting News Popularity in an Instant Messaging Service
On the Allocation of Documents in Multiprocessor Information Retrieval Systems
Topic distillation using hierarchy concept tree
Probabilistic Document Indexing from Relevance Feedback Data
Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini
Embedding Edge-attributed Relational Hierarchies
User Interaction in Mobile Web Search
Multilingual Keyword Extraction for Term Suggestion
Decoupled Side Information Fusion for Sequential Recommendation
Regional Relation Modeling for Visual Place Recognition
When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search
Investigating Topic Influence in Authorship Attribution
WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors
A System for Retrieving Speech Documents
Ad Click Prediction in Sequence with Long Short-Term Memory Networks: an Externality-aware Model
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
A unified model for metasearch and the efficient evaluation of retrieval systems via the hedge algorithm
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks
Learning to rank from a noisy crowd
Finding knowledgeable groups in enterprise corpora
Index maintenance for time-travel text search
Metacognitive Knowledge and Metacognitive Regulation in Time-Constrained in Information Search
Continuous Result Delta Evaluation of IR Systems
Social recommendations at work
RankReduce - Processing K-Nearest Neighbor Queries on Top of MapReduce
Gaussian Embeddings for Collaborative Filtering
Inferring document relevance via average precision
Learning with Little Data: Industry Challenges and Innovations
Multiple approaches to analysing query diversity
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, June 3-5, 1987
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
The relationship between ASK and relevance criteria
A faceted interface for multimedia search
Video Corpus Moment Retrieval with Contrastive Learning
Learning Gamification Design - An Usability First Approach for the Enterprise Infoboard Experiment
Finding Answers in Web Search
Apoidea: A Decentralized Peer-to-Peer Architecture for Crawling the World Wide Web
Concept Based Retrieval in Classical IR Systems
Accelerated Query Processing Via Similarity Score Prediction
Query expansion using path-constrained random walks
An Extended Relevance Model for Session Search
Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation
MGeo: Multi-Modal Geographic Language Model Pre-Training
An Experimentation Platform for Precision Medicine
Authorship classification: a discriminative syntactic tree mining approach
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process
A Taxonomy of Queries for E-commerce Search
Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection
Large Models are Good Annotators for Zero-Shot Learning
Relational distance-based collaborative filtering
Combining Model-Oriented and Description-Oriented Approaches for Probabilistic Indexing
QuARk: A GUI for Quality-Aware Ranking of Arguments
A Design of a Distributed Full Text Retrieval System
Some Things Never Change: Overcoming Persistent Challenges in Children IR
Query by document via a decomposition-based two-level retrieval approach
NodeRec+: A Lightweight Framework for Federated Recommender Systems
Retrieving Tables via Inter- and Intra-Content Contrastive Representation Learning
Axiomatic analysis and optimization of information retrieval models
Training Effective Neural CLIR by Bridging the Translation Gap
Exploiting query history for document ranking in interactive information retrieval
Bridging temporal context gaps using time-aware re-contextualization
The role of knowledge in conceptual retrieval: a study in the domain of clinical medicine
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
Towards Context-Aware Evaluation for Image Search
Ontology-Aware Clinical Abstractive Summarization
Web query translation via web log mining
Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline
Improved Caching Techniques for Large-Scale Image Hosting Services
Inference Networks for Document Retrieval
First experiments searching spontaneous Czech speech
Score adjustment for correction of pooling bias
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
The 1 st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI
A study of methods for negative relevance feedback
AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph Reasoning
Relating retrievability, performance and length
Hypencoder: Hypernetworks for Information Retrieval
Inferring Probability of Relevance Using the Method of Logistic Regression
Bias in Language Models: Interplay of Architecture and Data?
Is uncertain logical-matching equivalent to conditional probability?
Latent community discovery through enterprise user search query modeling
Recognizing Medical Search Query Intent by Few-shot Learning
Learning When Searching for Web Data
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
Personalized Semantic Ranking for Collaborative Recommendation
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
A Parallel Indexed Algorithm for Information Retrieval
Using the web for automated translation extraction in cross-language information retrieval
Using temporal profiles of queries for precision prediction
Open Relation Extraction for Support Passage Retrieval: Merit and Open Issues
Power Norm Based Lifelong Learning for Paraphrase Generations
Mining Leaks and Open Data to Follow the Money
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation
T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking
User model-based metrics for offline query suggestion evaluation
Location-Aware Model for News Events in Social Media
Document Distance Metric Learning in an Interactive Exploration Process
"Is Sven Seven?": A Search Intent Module for Children
Robust Causal Inference for Recommender System to Overcome Noisy Confounders
On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation
An aspectual interface for supporting complex search tasks
Production Ranking Systems: A Review
Building test collections: an interactive tutorial for students and others without their own evaluation conference series
Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs
MarkedBERT: Integrating Traditional IR Cues in Pre-trained Language Models for Passage Retrieval
Supporting federated information sharing communities (abstract only)
Evaluating Search System Explainability with Psychometrics and Crowdsourcing
Integrating hierarchical feature selection and classifier training for multi-label image annotation
Transductive learning over automatically detected themes for multi-document summarization
Towards a combined model for search and navigation of annotated documents
LIRME: Locally Interpretable Ranking Model Explanation
Locality-adapted Kernel Densities for Tweet Localization
Evaluating the synergic effect of collaboration in information seeking
Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search
Incremental Sampling of Query Logs
An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search
Authors, Genre, and Linguistic Convention
Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018
An Enhanced Approach to Query Performance Prediction Using Reference Lists
Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features
An Intent-guided Collaborative Machine for Session-based Recommendation
Design of a Browsing Interface for Information Retrieval
Local Matrix Approximation based on Graph Random Walk
Cross-language text classification
DOM based content extraction via text density
Posting Compression in Dynamic Retrieval Environments
A critical examination of TDT's cost function
Detecting word substitutions: PMI vs. HMM
Network On Network for Tabular Data Classification in Real-world Applications
Cite Me, Cite My References? (Scholarly Use of the ACM SIGIR Proceedings Based on Two Citation Indexes)
Cross-language retrieval using link-based language models
Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, August 11, 2017
Using gradient descent to optimize language modeling smoothing parameters
Modeling Transferable Topics for Cross-Target Stance Detection
Machine Translation and Monolingual Information Retrieval (poster abstract)
Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic
A Common Architecture for Different Text Processing Techniques in an Information Retrieval Environment
Using Domain Models for Context-Rich User Logging
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
Post-event Modeling via Causal Optimal Transport for CTR Prediction
Team Waterloo at the SIGIR e-Commerce Data Challenge
Where Does Your News Come From? Predicting Information Pathways in Social Media
Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression
Analysing Author Name Mentions in Citation Contexts of Highly Cited Publications
Detection and translation of OOV terms prior to query time