yusuke1997/dblp-id-title huggingface dataset:
Using eye-tracking with dynamic areas of interest for analyzing interactive information retrieval
AMM: Attentive Multi-field Matching for News Recommendation
Affective Relevance: Inferring Emotional Responses via fNIRS Neuroimaging
Temporal latent semantic analysis for collaboratively generated content: preliminary results
Aggregated search interface preferences in multi-session search tasks
Generic similarity search engine demonstrated by an image retrieval application
A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms
Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval
Compression of Concordances in Full-Text Retrieval Systems
Detecting synonyms in social tagging systems to improve content retrieval
Title, Preface, Table of Contents, Author Index
Causal Intervention for Leveraging Popularity Bias in Recommendation
Recipe Retrieval with Visual Query of Ingredients
Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment
The Semantic Binary Relationship Model of Information
Aiming for user experience in information retrieval: towards user-centered relevance (UCR)
Profiling and Visualizing Dynamic Pruning Algorithms
Query sampling for ranking learning in web search
NACSIS Test Collection Workshop (NTCIR-1) (poster abstract)
Comparing Distributed Indexing: To MapReduce or Not?
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
The User's Mental Model of an Information Retrieval System
ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation
Recent Advances in Generative Information Retrieval
Learning search tasks in queries and web pages via graph regularization
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Conceptual Information Retrieval Using RUBRIC
Dockerising Terrier for The Open-Source IR Replicability Challenge (OSIRRC 2019)
Score and rank convergence of HITS
Click-through-based cross-view learning for image search
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
First large-scale information retrieval experiments on turkish texts
Cluster-based retrieval using language models
Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization
How Reliable Are the Results of Large-Scale Information Retrieval Experiments?
A probabilistic model for retrospective news event detection
Leveraging Context-Free Grammar for Efficient Inverted Index Compression
From Information to Assistance
A picture is worth a thousand search results: finding child-oriented multimedia results with collAge
How well does result relevance predict session satisfaction?
Proceedings of the SIGIR 2007 International Workshop on Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, PAN 2007, Amsterdam, Netherlands, July 27, 2007
A summarisation logic for structured documents
Reassessing the Effectiveness of Reinforcement Learning based Recommender Systems for Sequential Recommendation
Learning to Diversify Search Results via Subtopic Attention
Item Similarity Mining for Multi-Market Recommendation
Evaluation of Cross Domain Text Summarization
On the Reusability of "Living Labs" Test Collections: : A Case Study of Real-Time Summarization
Spoken information retrieval for turkish broadcast news
A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization
Document identifier reassignment and run-length-compressed inverted indexes for improved search performance
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
Towards personalized distributed information retrieval
Nordlys: A Toolkit for Entity-Oriented and Semantic Search
MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction
Indexing and querying overlapping structures
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models
PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Fake News Detection via Multi-scale Semantic Alignment and Cross-modal Attention
Automatic Acquisition of Terminological Relations from a Corpus for Query Expansion
TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
Document layout and color driven image retrieval
An Information Structure Dealing with Term Dependence and Polysemy
Building a filtering test collection for TREC 2002
MANILA25: SIGIR 2025 Workshop on Information Retrieval for Climate Impact
Major topic detection and its application to opinion summarization
Backmatter
CODEC: Complex Document and Entity Collection
Information Retrieval by Voice Input and Output
Joint Learning of Response Ranking and Next Utterance Suggestion in Human-Computer Conversation System
Estimation methods for ranking recent information
Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers
Defining and Measuring Cost, Effort, and Load in Information Retrieval
Length-adaptive Neural Network for Answer Selection
Local Ranking Problem on the BrowseGraph
LiveMaps: Converting Map Images into Interactive Maps
Aggregating multiple opinion evidence in proximity-based opinion retrieval
Analyzing feature trajectories for event detection
Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background
High Performance Question/Answering
A regression framework for learning ranking functions using relative relevance judgments
Do "Future Work" sections have a purpose? Citation links and entailment for global scientometric questions
Detecting, categorizing and clustering entity mentions in Chinese text
ARS - An Interactive Reporting System
Dense Passage Retrieval: Architectures and Augmentation Methods
LLM-Driven Usefulness Labeling for IR Evaluation
Semantic video classification by integrating unlabeled samples for classifier training
Estimating Precision by Random Sampling (poster abstract)
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Transforming patents into prior-art queries
Corpus structure, language models, and ad hoc information retrieval
Personalizing information retrieval using task features, topic knowledge, and task product
An outranking approach for rank aggregation in information retrieval
To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems
CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora
CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI Recommendation
Testing algorithms is like testing students
Revisiting logical imaging for information retrieval
The ComeWithMe System for Searching and Ranking Activity-Based Carpooling Rides
An Evaluation of Query Processing Strategies Using the TIPSTER Collection
Ranking Documents by Answer-Passage Quality
Instant Search: A Hands-on Tutorial
Choppy: Cut Transformer for Ranked List Truncation
New Methods of Results Merging for Distributed Information Retrieval
Decision-Theoretic Resource Selection for Different Data Types in MIND
Towards Event-level Causal Relation Identification
HEALTH+Z: Confidential Provider Selection in Collaborative Healthcare P2P Networks
Personalized Stock Recommendation with Investors' Attention and Contextual Information
Searching on the Go: The Effects of Fragmented Attention on Mobile Web Search Tasks
Preface to INRA 2022
Load balancing for partition-based similarity search
Intent-Aware Semantic Query Annotation
Hierarchical Task-aware Multi-Head Attention Network
Visualizing and querying semantic social networks
Evaluating evaluation measure stability
Applications and Future of Dense Retrieval in Industry
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
Representative & Informative Query Selection for Learning to Rank using Submodular Functions
Evaluating semantic indexing techniques through cross-language fingerprinting
Overview of Graph Search and Beyond
Towards Designing Better Session Search Evaluation Metrics
Table Enrichment System for Machine Learning
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
Geometric representations for multiple documents
Multi-Domain Sequential Recommendation via Domain Space Learning
Stacking Bagged and Boosted Forests for Effective Automated Classification
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort
Optimizing Generalized Gini Indices for Fairness in Rankings
An ALBERT-based Similarity Measure for Mathematical Answer Retrieval
Towards Observable Indicators of Learning on Search
NAM: A Normalization Attention Model for Personalized Product Search In Fliggy
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy
Searching, browsing, and clicking in a search session: changes in user behavior by task and over time
ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
The Automatic Generation of Extended Queries
Integrative online research-data management
Mining weakly labeled web facial images for search-based face annotation
Evaluation of resources for question answering evaluation
Transparent Queries: Investigating Users' Mental Models of Search Engines
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
A User-Centered Evaluation of Ranking Algorithims for Interactive Query Expansion
Context-sensitive Learning Methods for Text Categorization
Repeatable and reliable search system evaluation using crowdsourcing
Modeling evolution of a social network using temporalgraph kernels
Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations
InfoLand: information lay-of-land for session search
Towards Multi-Modal Conversational Information Seeking
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
Deep Natural Language Processing for Search Systems
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
Probabilistic factor models for web site recommendation
Retrieving Non-Redundant Questions to Summarize a Product Review
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language
Extracting query facets from search results
LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization
Neural Lexical Search with Learned Sparse Retrieval
A phonotactic-semantic paradigm for automatic spoken document classification
Answer models for question answering passage retrieval
CIRAG: Retrieval-Augmented Language Model with Collective Intelligence
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval
Picasso - to sing, you must close your eyes and draw
CAsT-19: A Dataset for Conversational Information Seeking
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
PECAN: A Platform for Searching Chat Conversations
Quantifying and Advancing Information Retrieval System Explainability
Tutorial on Fairness of Machine Learning in Recommender Systems
Probabilistic latent maximal marginal relevance
A Document-Document Similarity Measure Based on Cited Titles and Probability Theory, and Its Application to Relevance Feedback Retrieval
Mining Measured Information from Text
Graph-Based Audience Expansion Model for Marketing Campaigns
Freshness matters: in flowers, food, and web authority
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users
On the Two-Sample Randomisation Test for IR Evaluation
Visual concept-based selection of query expansions for spoken content retrieval
Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective
A two-stage model for blog feed search
Word Embedding based Generalized Language Model for Information Retrieval
Info-flow Enhanced GANs for Recommender
Blogger, stick to your story: modeling topical noise in blogs with coherence measures
The cluster hypothesis in information retrieval
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics
MEMOSE: search engine for emotions in multimedia documents
Predicting bursts and popularity of hashtags in real-time
LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System
Short comings of latent models in supervised settings
Exploring Human-Like Thinking in Search Simulations with Large Language Models
Generative modeling of persons and documents for expert search
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis
User-Specified Domain Knowledge for Document Retrieval
Table Search Using a Deep Contextualized Language Model
Information Cascades Modeling via Deep Multi-Task Learning
Context Attentive Document Ranking and Query Suggestion
A Study on Unsupervised Question and Answer Generation for Legal Information Retrieval and Precedents Understanding
Enhancing topical ranking with preferences from click-through data
Boosted decision trees for word recognition in handwritten document retrieval
Cross-Language Information Retrieval Based on Parallel Texts and Automatic Mining of Parallel Texts from the Web
Is natural language an inconvenience or an opportunity for IR?
Retrieving documents with mathematical content
Modeling subset distributions for verbose queries
Estimating probabilities for effective data fusion
WASABI: Framework for Real-Time Speech Analysis Applications (Demo)
A wireless natural language search engine
Towards musical query-by-semantic-description using the CAL500 data set
IR Evaluation and Learning in the Presence of Forbidden Documents
QFinder: A Framework for Quantity-centric Ranking
Increasing Engagement with the Library via Gamification
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Using Large Language Models for Math Information Retrieval
A Study on Thresholding Strategies for Text Categorization
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
Methods for mining and summarizing text conversations
Multi-Target Stance Detection via a Dynamic Memory-Augmented Network
Economically-efficient sentiment stream analysis
Language-model-based pro/con classification of political text
SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks
DeepReport: An AI-assisted Idea Generation System for Scientific Research
Feature diversity in cluster ensembles for robust document clustering
Effects of highly agreed documents in relevancy prediction
Automatic image annotation by using concept-sensitive salient objects for image content representation
Early Detection of Topical Expertise in Community Question Answering
Compressed Inverted Files with Reduced Decoding Overheads
Phrase Recognition and Expansion for Short, Precision-Biased Queries Based on a Query Log
A Performance Evaluation of Similarity Measures, Document Term Weighting Schemes and Representations in a Boolean Environment
A Sequential Decision Formulation of the Interface Card Model for Interactive IR
A Failure Analysis on the Limitations of Suffixing in an Online Environment
Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis
Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval
Automatic Web Search Query Generation to Create Minority Language Corpora
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains
IRVILAB: Gamified Searching on Multilingual Wikipedia
Document classification on neural networks using only positive examples
A utility theoretic approach to determining optimal wait times in distributed information retrieval
Recommending citations for academic papers
Neural Passage Quality Estimation for Static Pruning
Models for Metasearch
Planning in an Expert System for Automated Information Retrieval
Analysis of recursive feature elimination methods
Large-scale Image Retrieval with Sparse Binary Projections
Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation
Where not to go?: detecting road hazards using twitter
Distributional Clustering of Words for Text Classification
Document Filtering With Inference Networks
Discriminative models of integrating document evidence and document-candidate associations for expert search
PreSizE: Predicting Size in E-Commerce using Transformers
SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA, August 6-11, 2006
Retrieving similar discussion forum threads: a structure based approach
To hint or not: exploring the effectiveness of search hints for complex informational tasks
Visual SOM (Abstract)
A Test Collection for Ad-hoc Dataset Retrieval
Collecting high quality overlapping labels at low cost
Relevance Feedback and Inference Networks
Context-Aware Classification of Legal Document Pages
Measuring Item Global Residual Value for Fair Recommendation
Wikimarks: Harvesting Relevance Benchmarks from Wikipedia
Detecting outlier sections in us congressional legislation
A site oriented method for segmenting web pages
Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback
Personalized diversification of search results
Machine Generated Explanations and Their Evaluation
Complex Item Set Recommendation
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
Amilcare: adaptive information extraction for document annotation
Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017
Investigating Reading Behavior in Fine-grained Relevance Judgment
Experience with Large Document Collections (Panel)
Tracing Knowledge State with Individual Cognition and Acquisition Estimation
Development of a Modern OPAC: From REVTOLC to MARIAN
Performance prediction using spatial autocorrelation
Unsupervised Product Entity Resolution using Graph Representation Learning
Document clustering with committees
Selective Gradient Boosting for Effective Learning to Rank
Selecting Discriminative Terms for Relevance Model
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion
Using score differences for search result diversification
Embedding Based Deduplication in E-commerce AutoComplete
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Learning to efficiently rank
A Dataset and an Examination of Identifying Passages for Due Diligence
ECOM'21: The SIGIR 2021 Workshop on eCommerce
Robust audio identification for MP3 popular music
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis
Placing flickr photos on a map
The overlap problem in content-oriented XML retrieval evaluation
Tulip: lightweight entity recognition and disambiguation using wikipedia-based topic centroids
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries
Derived Search Keys for Bibliographic Retrieval
On-Line New Event Detection and Tracking
Alleviating Matching Bias in Marketing Recommendations
Capturing Self-Regulated Learning During Search
Exploring desktop resources based on user activity analysis
Personalized Query Suggestions
Beyond General Alignment: Fine-Grained Entity-Centric Image-Text Matching with Multimodal Attentive Experts
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
Game State Retrieval with Keyword Queries
On Feature Distributional Clustering for Text Categorization
Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation
WestSearch Plus: A Non-factoid Question-Answering System for the Legal Domain
EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search
Answer Complex Questions: Path Ranker Is All You Need
Looking at CTR Prediction Again: Is Attention All You Need?
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
Evaluating multi-query sessions
Geographic information retrieval (GIR): searching where and what
A Network Organization Used for Document Retrieval
WCIS 2019: 1st Workshop on Conversational Interaction Systems
Why Assessing Relevance in Medical IR is Demanding
BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification
CLSciSumm Shared Task: On the Contribution of Similarity measure and Natural Language Processing Features for Citing Problem
Approximating true relevance distribution from a mixture model based on irrelevance data
QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
Maximum Likelihood Estimation for Filtering Thresholds
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
SIGIR 2019 Tutorial on Explainable Recommendation and Search
STICS: searching with strings, things, and cats
Building thematic lexical resources by term categorization
Encoder-Decoder Neural Networks for Taxonomy Classification
Evaluating medical information retrieval
A new rank correlation coefficient for information retrieval
OCELOT: a system for summarizing Web pages
SciSumm 2017: Employing Word Vectors for Identifying, Classifying and Summarizing Scientific Documents
Active feedback in ad hoc information retrieval
Learning Colour Representations of Search Queries
Towards Formula Concept Discovery and Recognition
Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval
Gamification for WebSAIL
A Cluster-Based Approach to Thesaurus Construction
Search effectiveness with a breadth-first crawl
Retrieval of Relevant Opinion Sentences for New Products
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders
Non-negative Matrix Factorization Meets Word Embedding
TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation
A Decision Theory Approach to Optimal Automatic Indexing
A maximal figure-of-merit learning approach to text categorization
The Maximum Entropy Principle in Information Retrieval
Spam filter evaluation with imprecise ground truth
Distributed Representations in a Text Based Information Retrieval System: A New Way of Using the Vector Space Model
Passage Retrieval for Outside-Knowledge Visual Question Answering
Predicting Asymmetric Transitive Relations in Knowledge Bases
Extracting topics based on authors, recipients and content in microblogs
Exploring folksonomy for personalized search
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion
Learning for graphs with annotated edges
ULP: Unlabeled Location Prediction from Text
An event extraction model based on timeline and user analysis in Latent Dirichlet allocation
A Statistical Similarity Measure
Unsupervised document classification using sequential information maximization
Sense discrimination for physics retrieval
Re-ranking search results using document-passage graphs
Overview of the 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)
Resource selection and data fusion in multimedia distributed digital libraries
A Machine Learning Approach to Information Retrieval
ASTERIX: Ambiguity and Missing Element-Aware XML Keyword Search Engine
Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations
Quantifying Ranker Coverage of Different Query Subspaces