yusuke1997/dblp-id-title huggingface dataset:
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
Efficient Utilization of Limited Access Archival Storage in a Time Shared Environment
Deep Job Understanding at LinkedIn
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
ConvLogRecaller: Real-Time Conversational Lifelog Recaller
Term-based commercial intent analysis
From Web Search Relevance to Vertical Search Relevance
Ranking Sentences from Product Description & Bullets for Better Search
Utility of Missing Concepts in Query-biased Summarization
PENG: integrated search of distributed news archives
Information-behaviour modeling with external cues
ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction
Improving Retrieval on Imperfect Speech Transcriptions (poster abstract)
FACTors: A New Dataset for Studying the Fact-checking Ecosystem
Personalized Response Generation via Domain adaptation
Open Source Repository Recommendation in Social Coding
Search system requirements of patent analysts
GERE: Generative Evidence Retrieval for Fact Verification
Visual summarization of web pages
CopyCat: Near-Duplicates Within and Between the ClueWeb and the Common Crawl
Retrieval Based on User Behaviour
Advanced Retrieval From Heterogeneous Fact Databases: Integration of Data Retrieval, Conversion, Aggregation and Deductive Techniques
Auto-construction of a live thesaurus from search term logs for interactive Web search
On the Evaluation of Machine-Generated Reports
Jester 2.0: Collaborative Filtering to Retrieve Jokes (demonstration abstract)
Authorship Attribution for Small Texts: Literary and Forensic Experiments
The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013
Document clustering via adaptive subspace iteration
From Redlining to Robots: How Newsrooms Apply Technology to the Craft of Journalism
SIGformer: Sign-aware Graph Transformer for Recommendation
DOLORES: A System for Logic-Based Retrieval of Multimedia Objects
Learning to Quantify: Estimating Class Prevalence via Supervised Learning
A Topic-aware Summarization Framework with Different Modal Side Information
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments
EXPOSE: searching the web for expertise
Search under Uncertainty: Cognitive Biases and Heuristics: A Tutorial on Testing, Mitigating and Accounting for Cognitive Biases in Search Experiments
Event Information Retrieval from Text
Affective adaptive retrieval: study of emotion in adaptive retrieval
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
An analysis of query difficulty for information retrieval in the medical domain
Mixup-based Unified Framework to Overcome Gender Bias Resurgence
RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive Explanations
Distributed Multimedia Information Retrieval, SIGIR 2003 Workshop on Distributed Information Retrieval, Toronto, Canada, August 1, 2003, Revised Selected and Invited Papers
Subtopic Structuring for Full-Length Document Access
Study of category score algorithms for k-NN classifier
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
A Two-Level Hypertext Retrieval Model for Legal Data
Is XML retrieval meaningful to users?: searcher preferences for full documents vs. elements
Effect of dynamic pruning safety on learning to rank effectiveness
Passage Retrieval Revisited
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Limits of opinion-finding baseline systems
Workload sampling for enterprise search evaluation
Less is More: Reweighting Important Spectral Graph Features for Recommendation
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
Design, Implementation and Experiment of a YeSQL Web Crawler
Medical Information Search Workshop (MEDIR)
Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results
Evaluating and predicting answer quality in community QA
Locating Query-oriented Experts in Microblog Search
Minimal test collections for retrieval evaluation
In Memoriam - B. C. Brookes
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective
Cross-lingual query suggestion using query logs of different languages
The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Path-based Deep Network for Candidate Item Matching in Recommenders
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search
ICE: Item Concept Embedding via Textual Information
Representing Mathematical Formulae in Content MathML using Wikidata
Performance Measurement in a Fuzzy Retrieval Environment
Cluster-Based Language Models for Distributed Retrieval
AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns
TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data
Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR)
ICA and SOM in text document analysis
Discourse Processing for Text Analysis: Recent Successes, Current Challenges
Chinese Document Classification with Bi-directional Convolutional Language Model
Efficient Distributed Algorithms to Build Inverted Files
Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation
Learning to Ask Screening Questions for Job Postings
Information Technology and the Science of Information
Evaluating LLMs' (In)ability to Follow Prompts in QA Tasks
What makes a query difficult?
Webformer: Pre-training with Web Pages for Information Retrieval
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning
Context-aware web search abandonment prediction
An Approach to Probabilistic Retrieval
Interpolative Distillation for Unifying Biased and Debiased Recommendation
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation
Counterfactual Model Selection in Contextual Bandits
Converting on-line bilingual dictionaries from human-readable to machine-readable form
Spacious: an interactive mental search interface
Enhanced News Retrieval: Passages Lead the Way!
Classifying racist texts using a support vector machine
Broken plural detection for arabic information retrieval
Improving Fairness and Transparency for Artists in Music Recommender Systems
Protecting source privacy in federated search
Graph Summarization for Entity Relatedness Visualization
Visualizing Internet Search Results with Adaptive Self-Organizing Maps (demonstration abstract)
Term Proximity Constraints for Pseudo-Relevance Feedback
Applications for Information Retrieval Techniques in the Office
An implicit system for predicting interests
Advances on the development of evaluation measures
A ranking approach to target detection for automatic link generation
Disentangling ID and Modality Effects for Session-based Recommendation
Equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysis
Ordinal Text Quantification
Unconscious Physiological Effects of Search Latency on Users and Their Click Behaviour
Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures
PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval
Automatic Feature Generation on Heterogeneous Graph for Music Recommendation
Does WT10g look like the web?
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Using asymmetric distributions to improve text classifier probability estimates
Visual Intents vs. Clicks, Likes, and Purchases in E-commerce
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
Who is the Mr. Right for Your Brand?: - Discovering Brand Key Assets via Multi-modal Asset-aware Projection
Optimizing Search Results for Educational Goals: Incorporating Keyword Density as a Retrieval Objective
Learning to Rank Instant Search Results with Multiple Indices: A Case Study in Search Aggregation for Entertainment
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation
Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience
Interactive Internet search: keyword, directory and query reformulation mechanisms compared
User-Inspired Posterior Network for Recommendation Reason Generation
Title, Preface, Conference Committee, Table of Contents, Author Index
Sentence-level Sentiment Classification with Weak Supervision
Improving collection selection with overlap awareness in P2P search engines
Event tracking based on domain dependency
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Convolutional Neural Network and Bidirectional LSTM Based Taxonomy Classification Using External Dataset at SIGIR eCom Data Challenge
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback
SaR-Web - A Tool to Support Search as Learning Processes
Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations
Choices and constraints: research goals and approaches in information retrieval (part 2)
A model for expert finding in social networks
Multiple sources of evidence for XML retrieval
The Utah Text Retrieval Project - A Status Report
Fast Speculative Search Engine on the Highly Parallel Computer EM-X
Time-aware point-of-interest recommendation
Interactive retrieval based on faceted feedback
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences
Optimum Polynomial Retrieval Functions
Analyzing Fusion Methods Using the Condorcet Rule
GLASE 0.1: eyes tell more than mice
Combining Top-N Recommenders with Metasearch Algorithms
Examining Information on Social Media: Topic Modelling, Trend Prediction and Community Classification
Supporting efficient top-k queries in type-ahead search
Applying Probabilistic Term Weighting to OCR Text in the Case of a Large Alphabetic Library Catalogue
Fast on-line learning for multilingual categorization
An Optimization Framework for Remapping and Reweighting Noisy Relevance Labels
Pursuing insights about healthcare utilization via geocoded search queries
The Fact Database: A System Based on Inferential Methods
Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation
A unified inverted index for an efficient image and text retrieval
MMEAD: MS MARCO Entity Annotations and Disambiguations
Identifying Careless Workers in Crowdsourcing Platforms: A Game Theory Approach
Exploring traversal strategy for web forum crawling
Personalized Key Frame Recommendation
KATIE: A System for Key Attributes Identification in Product Knowledge Graph Construction
Recommending interesting activity-related local entities
Value Penalized Q-Learning for Recommender Systems
Appraisal navigator
Concept representation based video indexing
ESTER: efficient search on text, entities, and relations
User-Oriented Document Clustering: A Framework for Learning in Information Retrieval
SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval
Assessing the scenic route: measuring the value of search trails in web logs
Time Matters: Sequential Recommendation with Complex Temporal Information
The ESA retrieval model revisited
Query word deletion prediction
Pruning policies for two-tiered inverted index with correctness guarantee
The Treatment of Ties in Rank-Biased Overlap
Method Combination For Document Filtering
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning
Revisiting the Foundations of IR: Timeless, Yet Timely
Generative-Contrastive Graph Learning for Recommendation
Building Interoperable Digital Library Services: MARIAN, Open Archives and NDLTD
Explainable User Clustering in Short Text Streams
Information Retrieval with Verbose Queries
Bilkent news portal: a personalizable system with new event detection and tracking capabilities
Extracting Real-Time Insights from Graphs and Social Streams
On single-pass indexing with MapReduce
Try This Instead: Personalized and Interpretable Substitute Recommendation
Compositional data analysis (CoDA) approaches to distance in information retrieval
Computationally Tractable Probabilistic Modeling of Boolean Operators
Inferring user intent in web search by exploiting social annotations
Resources for Combining Teaching and Research in Information Retrieval Coursework
Dependency relation matching for answer selection
tieval: An Evaluation Framework for Temporal Information Extraction Systems
Offline Retrieval Evaluation Without Evaluation Metrics
Social networks, incentives, and search
About the 'Compromised Information Need' and Optimal Interaction as Quality Measure for Search Interfaces
Query forwarding in geographically distributed search engines
SEA: A Scalable Entity Alignment System
A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
Semantic hashing using tags and topic modeling
Versioning a Full-text Information Retrieval System
DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group Recommendation
Phrasier: A System for Interactive Document Retrieval Using Keyphrases
Podcast Metadata and Content: Episode Relevance and Attractiveness in Ad Hoc Search
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Content-Based Retrieval for Music Collections
Integrated search tools for newspaper digital libraries
Dense Retrieval for Low Resource languages - the Case of Amharic Language
Fast context-aware recommendations with factorization machines
Enhanced Topic Distillation Using Text, Markup Tags, and Hyperlinks
Learning to rank with ties
Extractive Snippet Generation for Arguments
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization
Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems
Towards Differentially Private Text Representations
Learning Term Discrimination
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
Query Expansion Using Lexical-Semantic Relations
Semantic tag recommendation using concept model
LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design
Multi-Branch Convolutional Network for Context-Aware Recommendation
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search
Dockerizing Indri for OSIRRC 2019
DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes
WordNetContext: Information Retrieval-friendly Access to WordNet Senses
A Lightweight Environment for Learning Experimental IR Research Practices
Building Bridges across Social Platforms: Answering Twitter Questions with Yahoo! Answers
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model
TDP: Personalized Taxi Demand Prediction Based on Heterogeneous Graph Embedding
A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System
Interpretation of coordinations, compound generation, and result fusion for query variants
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation
CTSUM: extracting more certain summaries for news articles
CoSRec: A Joint Conversational Search and Recommendation Dataset
A portable multilingual medical directory by automatic categorization of Wikipedia articles
Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
The effect of assessor error on IR system evaluation
Fast Object Partitioning Using Stochastic Learning Automata
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
Learning to Diversify for E-commerce Search with Multi-Armed Bandit
Learning with Weak Supervision for Email Intent Detection
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
Topic structure modeling
Combining LVCSR and vocabulary-independent ranked utterance retrieval for robust speech search
Enhancing ad-hoc relevance weighting using probability density estimation
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems
Where is who: large-scale photo retrieval by facial attributes and canvas layout
Topic segmentation using weighted lexical links (WLL)
Document clustering with universum
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
Probabilistic model for definitional question answering
Efficient Context-Sensitive Plausible Inference for Information Disclosure
Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates
Testing the Cluster Hypothesis with Focused and Graded Relevance Judgments
Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms
Establishing a Basis for Mapping Natural-Language Statements Onto a Database Query Language
Scheduling queries across replicas
Unsupervised linear score normalization revisited
Identifying User Behaviour Between Logged Interactions
A ranking approach to keyphrase extraction
Uncovering Insurance Fraud Conspiracy with Network Learning
CharBoxes: a system for automatic discovery of character infoboxes from books
CrowdLogging: distributed, private, and anonymous search logging
A toolkit for knowledge base population
Integrating IR and RDBMS Using Cooperative Indexing
What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
Generalized Vector Space Model in Information Retrieval
Gamification for Machine Learning: The Classification Game
Group latent factor model for recommendation with multiple user behaviors
Learning to Rank Using Localized Geometric Mean Metrics
Building a Self-Learning Search Engine: From Research to Business
Exploring mouse movements for inferring query intent
A Deep Recurrent Survival Model for Unbiased Ranking
An IR-based evaluation framework for web search query segmentation
One Stop Shop for Question-Answering Dataset Selection
Reinforcement Learning based Recommendation with Graph Convolutional Q-network
Learning Discriminative Neural Representations for Event Detection
SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts
The impact of caching on search engines
A personalised information retrieval tool
Hyperbolic Online Time Stream Modeling
Uncovering deep user context from blogs
A Worrying Reproducibility Study of Intent-Aware Recommendation Models
Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search
Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, eCOM@SIGIR 2017, Tokyo, Japan, August 11, 2017
A Comparison of Search Term Weighting: Term Relevance vs. Inverse Document Frequency
Interactive Information Retrieval Systems: From User Centred Interface Design to Software Design
Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension
Evaluating Retrieval over Sessions: The TREC Session Track 2011-2014
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios
Visual Question Rewriting for Increasing Response Rate
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations
An experimental study on implicit social recommendation
The Use of Speech Retrieval Systems: A Study Design
SIGIR: scholar vs. scholars' interpretation
Unsupervised Dense Retrieval Training with Web Anchors
PSCon: Product Search Through Conversations
Query-Task Mapping
Portfolio theory of information retrieval
Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from Nigeria
Random walks on the click graph
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Active query selection for learning rankers
Information Retrieval Library (IRLIB) (demonstration abstract)
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion
Viewing online searching within a learning paradigm
Search results using timeline visualizations
Learning to Rank Knowledge Subgraph Nodes for Entity Retrieval
Large Language Models for Recommendation: Past, Present, and Future
The impact of crawl policy on web search effectiveness
Information Nutritional Label and Word Embedding to Estimate Information Check-Worthiness
Learning While Filtering Focuments
Armadillo: harvesting information for the semantic web
Inside Out 2: Make Room for New Emotions & LLM: A Reproducibility Study of the Emotional Side of Search in the Classroom
Relevation!: an open source system for information retrieval relevance assessment}
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation
World knowledge in broad-coverage information filtering
User term feedback in interactive text-based image retrieval
Augmented Transition Networks as a Design Tool for Personalized Data Base Systems
Grasping Both Query Relevance and Essential Content for Query-focused Summarization
Where to start reading a textual XML document?
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
Learning to Infer User Implicit Preference in Conversational Recommendation
Feature subset non-negative matrix factorization and its applications to document understanding
You are what you say: privacy risks of public mentions
PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
Bundle recommendation in ecommerce
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering
Retrieval Augmented Generation for Dynamic Graph Modeling
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Supporting semantic visual feature browsing in contentbased video retrieval
Automatic content linking: speech-based just-in-time retrieval for multimedia archives
A fusion approach to cluster labeling
Selective Fairness in Recommendation via Prompts
Neural Interactive Collaborative Filtering
Generating diverse katakana variants based on phonemic mapping