yusuke1997/dblp-id-title huggingface dataset:
SIGIR 2017 Workshop on Open Knowledge Base and Question Answering (OKBQA2017)
Multi-site User Behavior Modeling and Its Application in Video Recommendation
Generating Effective Health-Related Queries for Promoting Reliable Search Results
eBizSearch: a niche search engine for e-business
Information retrieval using word senses: root sense tagging approach
A System for new event detection
Visual MeSH
SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, September 9-13, 2001, New Orleans, Louisiana, USA
Ranking-Incentivized Quality Preserving Content Modification
Minimally Supervised Categorization of Text with Metadata
Salton Award Lecture: People, Interacting with Information
Automatic Task Completion Flows from Web APIs
Learning to Rank with Variable Result Presentation Lengths
A statistical method for system evaluation using incomplete judgments
Discriminative probabilistic models for passage based retrieval
Corpus-based Set Expansion with Lexical Features and Distributed Representations
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time
Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User Experience
Human-centric Evaluation of Similarity Spaces of News Articles
Structure and Content-Based Segmentation of Speech Transcripts
Human Memory Models and Term Association
Statistical Significance, Power, and Sample Sizes: A Systematic Review of SIGIR and TOIS, 2006-2015
Personalized click shaping through lagrangian duality for online recommendation
Template-independent wrapper for web forums
Competence-based song recommendation
Introduction and Perspectives for the 1971 ACM Information Storage and Retrieval Symposium
AttriBERT - Session-based Product Attribute Recommendation with BERT
How good is a span of terms?: exploiting proximity to improve web retrieval
Mouse movement during relevance judging: implications for determining user attention
A network-based model for high-dimensional information filtering
Smart Media Generation System for Broadcasting Contents
User-Dependent Learning to Debias for Recommendation
Discrimination between tasks with user activity patterns during information search
Evaluation of a Tool for Visualization of Information Retrieval Results
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval
Implicit queries (IQ) for contextualized search
Counterfactual Ranking Evaluation with Flexible Click Models
Looking inside the box: context-sensitive translation for cross-language information retrieval
Preference based evaluation measures for novelty and diversity
Seeking simplicity in search user interfaces
Modeling user posting behavior on social media
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction
Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization
Context-Aware Intent Identification in Email Conversations
Query Resolution for Conversational Search with Limited Supervision
OEHR: An Orthopedic Electronic Health Record Dataset
Deep User Match Network for Click-Through Rate Prediction
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
Some Remarks About the Inference Techniques of RESEDA, an "Intelligent" Information Retrieval System
Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, co-located with 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019
Search from Personal to Social Context: Progress and Challenges
A Multilingual Approach for Unsupervised Search Task Identification
Model-averaged latent semantic indexing
Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between
Concepts of the Cover-Coefficient-Based Clustering Methodology
Learning online discussion structures by conditional random fields
Bundle Recommendation with Graph Convolutional Networks
Bagging gradient-boosted trees for high precision, low variance ranking models
A flexible retrieval system of shapes in binary images
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
The Network Computer
Question answering passage retrieval using dependency relations
Measuring improvement in user search performance resulting from optimal search tips
Query Expansion Based on Predictive Algorithms for Collaborative Filtering
An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric
Construction of Optimal Graphs for Bit-Vector Compression
SearchPanel: framing complex search needs
A Probabilistic Algorithm for Nearest Neighbour Searching
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News
Accounting for the Correspondence in Commented Data
VideoReach: an online video recommendation system
Understanding Temporal Query Intent
Generative Recommender with End-to-End Learnable Item Tokenization
Contextual video advertising system using scene information inferred from video scripts
Predicting Session Length in Media Streaming
Problems with Kendall's tau
Opinion summarisation through sentence extraction: an investigation with movie reviews
Parametric and Non-parametric User-aware Sentiment Topic Models
Multi-document summarization using cluster-based link analysis
Translingual vocabulary mappings for multilingual information access
Generic soft pattern models for definitional question answering
What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild
Advancing Ship Re-Identification in the Wild: The ShipReID-2400 Benchmark Dataset and D2InterNet Baseline Method
Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed
An Object-Oriented Modelling of the History of Optimal Retrievals
Knowledge Based Systems Versus Thesaurus: An Architecture Problem About Expert Systems Design
Concept Based Query Expansion
Search engine switching detection based on user personal preferences and behavior patterns
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
RankLLM: A Python Package for Reranking with LLMs
Investigating Task Arithmetic for Zero-Shot Information Retrieval
UniSAR: Modeling User Transition Behaviors between Search and Recommendation
Clustering of search results using temporal attributes
High precision retrieval using relevance-flow graph
Masking and Generation: An Unsupervised Method for Sarcasm Detection
Construction of a Dynamic Thesaurus and its Use for Associated Information Retrieval
Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method
From Reading to Retrieval: Freeform Ink Annotations as Queries
Language Model Alignment for Conversational Shopping at Amazon
Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval
Assessing Query Suggestions for Search Session Simulation
DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction
Multi-objective Relevance Ranking
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives
Explainability for Transparent Conversational Information-Seeking
An Interpretation of Index Term Weighting Schemes Based on Document Components
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
Personalized Recommendation via Parameter-Free Contextual Bandits
STELLA: Towards a Framework for the Reproducibility of Online Search Experiments
OBELLA: Open the Book for Evaluating Long-Form Large Language Model Answers in Open-Domain Question Answering
Using Semantic Contents and WordNet in Image Retrieval
Increasing temporal diversity with purchase intervals
Search task difficulty: the expected vs. the reflected
Seeding simulated queries with user-study data forpersonal search evaluation
Corpus Linguistics and Information Retrieval
A framework for BM25F-based XML retrieval
On Information-Theoretic Document-Person Associations for Expert Search in Academia
ATHENA@CL-SciSumm 2019: Siamese recurrent bi-directional neural network for identifying cited text spans
How query cost affects search behavior
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Compressed permuterm index
Entity linking and retrieval
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
Why searchers switch: understanding and predicting engine switching rationales
On the Relation Between Assessor's Agreement and Accuracy in Gamified Relevance Assessment
Retrieval Algorithms Optimized for Human Learning
Learning to Ask Clarification Questions with Spatial Reasoning
CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking
A Common Query Interface for Multilingual Document Retrieval from Databases of the European Community Institutions (Demo)
Retrieval and novelty detection at the sentence level
NTCIR Lifelog: The First Test Collection for Lifelog Research
Online Query Refinement on Information Retrieval Systems: A Process Model of Searcher/System Interactions
Improved query performance prediction using standard deviation
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation
A revisit to social network-based recommender systems
More Than Just A Conversation: A Multi-agent Reasoning Graph Knowledge Distillation for Conversational Stance Detection
Bringing Order to the Job Market: Efficient Job Offer Categorization in E-Recruitment
Query Clustering Using Content Words and User Feedback
Probabilistic model for contextual retrieval
Simulacra and Selection: Clothing Set Recommendation at Stitch Fix
Graph Meta Network for Multi-Behavior Recommendation
An Empirical Study of Evaluating Long-form Question Answering
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval
Uncertainty Quantification for Extreme Classification
Apache Lucene 4
Toward self-correcting search engines: using underperforming queries to improve search
A longitudinal study of real-time search assistance adoption
Large Language Models and Future of Information Retrieval: Opportunities and Challenges
Beyond the traditional query operators
Putting the Role of Personalization into Context
Graph-cut based tag enrichment
A bipartite graph based social network splicing method for person name disambiguation
Adaptive information extraction for document annotation in amilcare
Catching the User - Logging the Information Retrieval Dialogue
One-Class Collaborative Filtering with the Queryable Variational Autoencoder
Topic Model based Privacy Protection in Personalized Web Search
Principled dictionary pruning for low-memory corpus compression
System effectiveness, user models, and user utility: a conceptual framework for investigation
Predicting RAG Performance for Text Completion
Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations
RecAdvisor: Criteria-based Ph.D. Supervisor Recommendation
An Empirical Analysis on Multi-turn Conversational Recommender Systems
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching
Design of an e-book user interface and visualizations to support reading for comprehension
An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge
Exploring ℓ 0 Sparsification for Inference-free Sparse Retrievers
Ranking opinionated blog posts using OpinionFinder
Torii: Attribute-based Polarity Analysis with Big Datasets
A new look at old tricks: the fertile roots of current research
Collaborative Memory Network for Recommendation Systems
Sentiment identification by incorporating syntax, semantics and context information
The Potential and Actual Effectiveness of Interactive Query Expansion
Discovering and structuring information flow among bioinformatics resources
Axiomatic Thinking for Information Retrieval: And Related Tasks
Salton award lecture: information retrieval as engineering science
Parsimonious concept modeling
ELSA: An Electronic Library Search Assistant (Demo)
Affective Representations for Sarcasm Detection
Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information
Classifying library catalogue by author profiling
Discovering Chinese Words from Unsegmented Text (poster abstract)
DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness
CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper
Context-Aware Modeling via Simulated Exposure Page for CTR Prediction
Effects of task and domain on searcher attention
Here and there: goals, activities, and predictions about location from geotagged queries
QuickView: advanced search of tweets
Temporal collaborative filtering with adaptive neighbourhoods
Merging retrieval results in hierarchical peer-to-peer networks
Applying Summarization Techniques for Term Selection in Relevance Feedback
Encoding Syntactic Dependency and Topical Information for Social Emotion Classification
Query Modification and Expansion in a Network with Adaptive Architecture
Retrieving Software Objects in an Example-Based Programming Environment
The BOLT IR Test Collections of Multilingual Passage Retrieval from Discussion Forums
Queries Are Not Alone: Clustering Text Embeddings for Video Search
NC2T: Novel Curriculum Learning Approaches for Cross-Prompt Trait Scoring
Video Moment Retrieval from Text Queries via Single Frame Annotation
SPLATE: Sparse Late Interaction Retrieval
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Social annotations: utility and prediction modeling
Exploring evaluation metrics: GMAP versus MAP
Improving personalized web search using result diversification
Using similarity links as shortcuts to relevant web pages
Effective Inference-Free Retrieval for Learned Sparse Representations
Why Batch and User Evaluations Do Not Give the Same Results
Segmenting Conversations by Topic, Initiative, and Style
HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation
TwiNER: named entity recognition in targeted twitter stream
IR&TM-NJUST @ CLSciSumm-19
Serendipitous search via wikipedia: a query log analysis
Combining Semantic and Syntactic Document Classifiers to Improve First Story Detection
Quantification in Query Systems
Search Engine Evaluation based on Search Engine Switching Prediction
Hill climbing algorithms for content-based retrieval of similar configurations
Learning user interaction models for predicting web search result preferences
Multi-scenario Instance Embedding Learning for Deep Recommender Systems
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation
A Meta-Learning Approach for Text Categorization
Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems
Large Language Models can Accurately Predict Searcher Preferences
Image search by concept map
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
A syntactic tree matching approach to finding similar questions in community-based qa services
Modeling and Combining Evidence Provided by Document Relationships Using Probabilistic Argumentation Systems
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction
5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024)
Fact-Level Calibration and Correction for Long-Form Generations
Using wikipedia categories for ad hoc search
On Extending the Vector Space Model for Boolean Query Processing
A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews
SLH-BIA: Short-Long Hawkes Process for Buy It Again Recommendations at Scale
Web retrieval: the role of users
Coherent Answers for a Large Structured Document Collection
LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References
A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking
Large Scale Search Engine Marketing (SEM) at Airbnb
Twitter Sentiment Analysis with Deep Convolutional Neural Networks
A Neural Influence Diffusion Model for Social Recommendation
Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Copenhagen, Denmark, June 21-24, 1992
The LiveRAG Challenge at SIGIR 2025
Graph-Structured Context Understanding for Knowledge-grounded Response Generation
Relevance-aware Filtering of Tuples Sorted by an Attribute Value via Direct Optimization of Search Quality Metrics
Towards Explainable Conversational Recommender Systems
Recommending personalized touristic sights using google places
"User Revealment" - a Comparison of Initial Queries and Ensuing Question Development in Online Searching and in Human Reference Interactions
Alternatives to Bpref
Language Decisions Made While Designing an Interactive Information Retrieval System
Personalized Abstractive Opinion Tagging
Taily: shard selection using the tail of score distributions
Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing
Leveraging LLMs for Detecting and Modeling the Propagation of Misinformation in Social Networks
LONLIES: Estimating Property Values for Long Tail Entities
A novel Arabic lemmatization algorithm
Information Processing in the Context of Medical Care
Diffusion Recommender Model
Semi-supervised spam filtering: does it work?
BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR
A survival modeling approach to biomedical search result diversification using wikipedia
Argument Search: Assessing Argument Relevance
On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users
Hypercomplex Knowledge Graph-Aware Recommendation
Towards task-based personal information management evaluations
Reranking for Efficient Transformer-based Answer Selection
Measuring the descriptiveness of web comments
Fitting score distribution for blog opinion retrieval
Learning to Ask Appropriate Questions in Conversational Recommendation
Ontology-enriched multi-document summarization in disaster management
RecStudio: Towards a Highly-Modularized Recommender System
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Efficient & Effective Selective Query Rewriting with Efficiency Predictions
An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract)
The bag-of-repeats representation of documents
Another Look at Information Retrieval as Statistical Translation
Type less, find more: fast autocompletion search with a succinct index
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Report on the SIGIR 2014 Workshop on Medical Information Retrieval (MedIR)
Community-based Cyberreading for Information Understanding
A Study of Neural Matching Models for Cross-lingual IR
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling
Legal Data Analytics: Developing Assistive Tools for Legal Practitioners
A repetition based measure for verification of text collections and for text categorization
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Vocabulary independent spoken term detection
Mapping queries to questions: towards understanding users' information needs
Multi-Level Interaction Reranking with User Behavior History
Want a coffee?: predicting users' trails
Query Rewriting using Automatic Synonym Extraction for E-commerce Search
Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech
Detecting and Explaining Emotions in Video Advertisements
Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems
Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction
Self-Supervised Learning for Recommender System
A French Text Recognition Model for Information Retrieval System
A boosting algorithm for learning bipartite ranking functions with partially labeled data
Large-scale Image Retrieval using Neural Net Descriptors
Modeling the uniqueness of the user preferences for recommendation systems
Processing Free-Text Input to Obtain a Database of Medical Information
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction
Automatic Document Editing for Improved Ranking
Bayesian Knowledge-driven Critiquing with Indirect Evidence
PRISM: concept-preserving social image search results summarization
Predicting User Satisfaction with Intelligent Assistants
The future of media, blogs and innovation: new IR challenges?
Active learning for ranking through expected loss optimization
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
Exploration of Unranked Items in Safe Online Learning to Re-Rank
The Converse Natural Language Data Management System: Current Status and Plans
The Probability that Your Hypothesis Is Correct, Credible Intervals, and Effect Sizes for IR Evaluation
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat
Improving Two-Stage Ad-Hoc Retrieval for Short Queries
Identifying the original contribution of a document via language modeling
A temporally adaptive content-based relevance ranking algorithm
Sentence completion
Context-based question-answering evaluation
Self-organizing distributed collaborative filtering
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
A perspective-aware approach to search: visualizing perspectives in news search results
Domain-specific information retrieval using rcommenders
Determining the Functionality and Features of an Intelligent Interface to an Information Retrieval System
Biomedical Information Retrieval incorporating Knowledge Graph for Explainable Precision Medicine
Putting searchers into search
Sopra: a new social personalized ranking function for improving web search
Grade Level Filtering for Learning Object Search using Entity Linking
Targeted Multi-Modal Passage Search for Molecules and their Synthesis Pathways
Finding, Understanding and Learning: Making Information Discovery Tasks Useful for Children and Teachers
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Neural Compatibility Ranking for Text-based Fashion Matching
Automatic identification of arabic dialects in social media
Information Retrieval in Finance: Industry and Academic Perspectives on Innovation
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph
A candidate filtering mechanism for fast top-k query processing on modern cpus
Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Probabilistic text modeling with orthogonalized topics
Event Digest: A Holistic View on Past Events
Some Considerations for Approximate Optimal Queries
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification
Searching for a New and Better Future of Work
Counterfactual Data-Augmented Sequential Recommendation
Dimension Importance Estimation for Dense Information Retrieval
Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants
Automatic term mismatch diagnosis for selective query expansion
Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation
Automatic Phrase Indexing for Document Retrieval: An Examination of Syntactic and Non-Syntactic Methods
Generating and Personalizing Bundle Recommendations on Steam
Semi-supervised Hashing with Semantic Confidence for Large Scale Visual Search
Estimating the Reliability of Health-related Search Results
Federated text retrieval from uncooperative overlapped collections
Document Storage and Retrieval