yusuke1997/dblp-id-title huggingface dataset:
Bridging the lexical chasm: statistical approaches to answer-finding
QUILT: Implementing a Large-scale Cross-language Text Retrieval System
Do IR models satisfy the TDC retrieval constraint
Controlling Risk of Web Question Answering
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation
Modeling User Behavior for Vertical Search: Images, Apps and Products
Evaluating a Probabilistic Model for Cross-Lingual Information Retrieval
Calibration Learning for Few-shot Novel Product Description
Partial Orders for Document Representation: A New Methodology for Combining Document Features
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Self-Explainable Next POI Recommendation
Studying Product Competition Using Representation Learning
Unitary Operators for Fast Latent Semantic Indexing (FLSI)
CHERCHE: A New Tool to Rapidly Implement Pipelines in Information Retrieval
Deep Neural Matching Models for Graph Retrieval
Subsequence Search in Event-Interval Sequences
Chat More: Deepening and Widening the Chatting Topic via A Deep Model
Retrieval evaluation on focused tasks
RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion
Personalized music emotion recognition
RewardTLG: Learning to Temporally Language Grounding from Flexible Reward
Robust sparse rank learning for non-smooth ranking measures
Solr Integration in the Anserini Information Retrieval Toolkit
A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive Adaptation
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents
Natural language processing for browse help
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
A New Method of Weighting Query Terms for Ad-Hoc Retrieval
A Heterogeneous Graph Neural Model for Cold-start Recommendation
Cluster-based fusion of retrieved lists
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass
L2R²: Leveraging Ranking for Abductive Reasoning
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Exploiting temporal information in retrieval of archived documents
A Docker-Based Replicability Study of a Neural Information Retrieval Model
Hierarchical classification of Web content
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce
Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval
Composite Document Extended Retrieval - An Overview
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation
Predicting term-relevance from brain signals
Automatically identifying localizable queries
Proceedings of the Open-Source IR Replicability Challenge co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, OSIRRC@SIGIR 2019, Paris, France, July 25, 2019
Efficient bayesian hierarchical user modeling for recommendation system
The Agent Perspective In LLM-Based Strategic Information Retrieval Ecosystems
CUE: A Preprocessor for Restricted, Natural English
Entropy descriptor for image classification
Quality through flow and immersion: gamifying crowdsourced relevance assessments
Cascade or Recency: Constructing Better Evaluation Metrics for Session Search
On Presuppositions of Machine Learning: A Meta Theory
An Unsupervised Approach to Anomaly Detection in Music Datasets
Clarity re-visited
Recent Trends in Automatic Information Retrieval
A Model of a Document-Clustering-Based Information Retrieval System with a Boolean Search Request Formulation
Probabilistic Multileave for Online Retrieval Evaluation
A Self-Organizing Semantic Map for Information Retrieval
An Image Retrieval Model Based on Classical Logic
When does Relevance Mean Usefulness and User Satisfaction in Web Search?
An Associative File Store Using Fragments for Run-Time Indexing and Compression
Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop
SCSS-LIE: A Novel Synchronous Collaborative Search System with a Live Interactive Engine
A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization
Pytrec_eval: An Extremely Fast Python Interface to trec_eval
Structure, Personalization, Scale: A Deep Dive into LinkedIn Search
Experiments with Cited Titles for Automatic Document Indexing and Similarity Measure in a Probabilistic Context
Hashtag retrieval in a microblogging environment
Fixed-threshold SMO for Joint Constraint Learning Algorithm of Structural SVM
An experimental study on automatically labeling hierarchical clusters using statistical features
Classifying News Stories using Memory Based Reasoning
Content-Based Retrieval Using Heuristic Search
Mining touch interaction data on mobile devices to predict web search result relevance
A Study of the Relationship between User Profiles and User Queries
IRWR: incremental random walk with restart
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs
Is Text Compression by Prefizes and Suffixes Practical?
Addressing News-Related Standing Information Needs
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Extending language modeling techniques to models of search and browsing activity in a digital library
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence
What reviews are satisfactory: novel features for automatic helpfulness voting
Towards More Relevant Product Search Ranking with Fulfillment Intent Understanding
Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
New Perspectives to Query Performance Prediction Evaluation
The wild thing goes local
What deliberately degrading search quality tells us about discount functions
Question classification with log-linear models
Query change as relevance feedback in session search
Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity
Block-level link analysis
Cache-conscious runtime optimization for ranking ensembles
MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation
Enhancing multi-label music genre classification through ensemble techniques
Global ranking by exploiting user clicks
IR paradigms in computational advertising
An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing
Heterogeneous Graph Embedding Made More Practical
Relation between PLSA and NMF and implications
The Effect of Database Size Distribution on Resource Selection Algorithms
User-centric multi-criteria information retrieval
Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization
Who will retweet me?: finding retweeters in twitter
Graph Pooling via Coarsened Graph Infomax
Wikipedia-based query performance prediction
ThemeStreams: visualizing the stream of themes discussed in politics
A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation
LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries
Time Pressure and System Delays in Information Search
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Document and Passage Retrieval Based on Hidden Markov Models
Modularity-Based Query Clustering for Identifying Users Sharing a Common Condition
Deep Learning for Extreme Multi-label Text Classification
Synerise Monad: A Foundation Model for Behavioral Event Data
Two Axioms for Evaluation Measures in Information Retrieval
Speech and Hand Transcribed Retrieval
Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems
A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation
SCENE: a scalable two-stage personalized news recommendation system
Productivity, Information Technology, and the Office
Varying approaches to topical web query classification
An annotation similarity model in passage ranking for historical fact validation
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data
Faster and smaller inverted indices with treaps
Hybrid retrieval approaches to geospatial music recommendation
Using Maps as a User Interface to a Digital Library
Effective Online Evaluation for Web Search
Weighted KL-Divergence for Document Ranking Model Refinement
Chinese Text Retrieval Without Using a Dictionary
Please meet AI, Our Dear New Colleague. In other Words: Can Scientists and Machines Truly Cooperate?
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
Interactive Information Retrieval: Models, Algorithms, and Evaluation
Block-distributed Gradient Boosted Trees
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification
YellowPager: a tool for ontology-based mining of service directories from web sources
Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach
User Modeling Towards Stateful Learning to Rank
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases
Galean: Visualization of Geolocated News Events from Social Media
On Retrieval Tests with an Inhomogeneous Query Collection
Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval, Montréal, Québec, Canada, June 5-7, 1985
Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection
Entity summarization of news articles
MA-MRC: A Multi-answer Machine Reading Comprehension Dataset
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation
Towards Personalized Fairness based on Causal Notion
SIGIR 2024 Workshop on Simulations for Information Access (Sim4IA 2024)
Bilateral Self-unbiased Learning from Biased Implicit Feedback
A Priori Relevance Based On Quality and Diversity Of Social Signals
Spatio-temporal Conditioned Language Models
Iterative translation disambiguation for cross-language information retrieval
Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings
Large-scale author verification: temporal and topical influences
Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream
User-trainable video annotation using multimodal cues
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs
Feature Transformation for Neural Ranking Models
SearchX: Empowering Collaborative Search Research
Using social annotations to enhance document representation for personalized search
Large Scale Deployment of BERT Based Cross Encoder Model for Re-Ranking in Walmart Search Engine
Using WordNet to Disambiguate Word Senses for Text Retrieval
DUMPLING: A Novel Dynamic Search Engine
Know your neighbors: web spam detection using the web topology
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
Learning to rank with SoftRank and Gaussian processes
From Design to Analysis: Conducting Controlled Laboratory Experiments with Users
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation
An Empirical Study of Learning to Rank for Entity Search
Analyzing web text association to disambiguate abbreviation in queries
Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall
Locality preserving indexing for document representation
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation
TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition
SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search Ranking
On automatically tagging web documents from examples
Neural Methods for Cross-Language Information Retrieval
A Dynamic Recurrent Model for Next Basket Recommendation
Learning sufficient queries for entity filtering
Catching the User - User Context through Live Logging in DAFFODIL
Information Retrieval: New Directions, Old Solutions
The Use of Inference Mechanisms to Improve the Retrieval Facilities from Large Relational Databases
Bayesian online classifiers for text classification and filtering
Constructing effective and efficient topic-specific authority networks for expert finding in social media
Leveraging knowledge across media for spammer detection in microblogging
NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns
Query log analysis in the context of information retrieval for children
Evaluating retrieval performance for Japanese question answering: what are best passages?
Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space
Theoretical bounds on and empirical robustness of score regularization to different similarity measures
Hierarchical Community-Level Information Diffusion Modeling in Social Networks
WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
Morphologically Annotated Amharic Text Corpora
Multi-Behavior Sequential Transformer Recommender
CaLa: Complementary Association Learning for Augmenting Comoposed Image Retrieval
Collaborative personalized Twitter search with topic-language models
Enhancing First Story Detection using Word Embeddings
SIGIR'88, Proceedings of the 11th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Grenoble, France, June 13-15, 1988
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Anticipatory search: using context to initiate search
Early Fusion Strategy for Entity-Relationship Retrieval
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction
Optimizing term vectors for efficient and robust filtering
End-to-End Contextualized Document Indexing and Retrieval with Neural Networks
An NF 2 Relational Interface For Document Retrieval, Restructuring and Aggregation
Commodity query by snapping
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance
Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis
Designing Search Engine Result Pages for Immersive Virtual Reality: Insights from Eye-Tracking and User Perception Data
A New Character-based Indexing Organization using Frequency Data for Japanese Documents
A Look Back and A Look Forward
LogCanvas: Visualizing Search History Using Knowledge Graphs
Accurate and robust text detection: a step-in for text retrieval in natural scene images
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning
Assessing the reliability and reusability of an E-discovery privilege test collection
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
The search for expertise: to the documents and beyond
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
Psychological Aspects in Retrieval and Recommendation
Helium @ CL-SciSumm-19 : Transfer learning for effective scientific research comprehension
Learning To Rank Resources
Contrastive Learning for Conversion Rate Prediction
ROME 2019: Workshop on Reducing Online Misinformation Exposure
CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning
Towards an Information Logic
Combining fields in known-item email search
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning
Automatic URL completion and prediction using fuzzy type-ahead search
A Platform for Streaming Push Notifications to Mobile Assessors
ACE-2005-PT: Corpus for Event Extraction in Portuguese
Improving web search ranking by incorporating user behavior information
Pruned query evaluation using pre-computed impacts
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
Sim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation
Challenges in running a commercial search engine
ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries
Automatic Indexing Based on Bayesian Inference Networks
Resolving Ambiguity for Cross-Language Retrieval
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Modeling search engine effectiveness for federated search
Exploring Session Context using Distributed Representations of Queries and Reformulations
What If Bots Feel Moods?
Diversity by proportionality: an election-based approach to search result diversification
Automatic Ground Truth Expansion for Timeline Evaluation
NJU@CL-SciSumm-19
The TREC files: the (ground) truth is out there
Tools for Searching the Web (panel)
Online matching of web content to closed captions in IntoNow
Hits on the web: how does it compare?
Viewing Stemming as Recall Enhancement
Multi-Level Matching Networks for Text Matching
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting
Designing search usability
Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement
Proceedings of the Second International Workshop on Search as Learning, SAL 2016, co-located with the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 21st, 2016
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings
Discovering real-world use cases for a multimodal math search interface
GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval
Recognizing Quantity Names for Tabular Data
CSRec: Rethinking Sequential Recommendation from A Causal Perspective
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
A Novel Approach to Define and Model Contextual Features in Recommender Systems
Studying Ranking-Incentivized Web Dynamics
AdImage: video advertising by image matching and ad scheduling optimization
Evaluating relevant in context: document retrieval with a twist
Long Context vs. RAG: Strategies for Processing Long Documents in LLMs
Leveraging Transitions of Emotions for Sarcasm Detection
User performance versus precision measures for simple search tasks
User Behavior Retrieval for Click-Through Rate Prediction
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Modelling Information Retrieval Agents with Belief Revision
Exploring semi-automatic nugget extraction for Japanese one click access evaluation
Handling data sparsity in collaborative filtering using emotion and semantic based features
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices
Using sampled data and regression to merge search engine results
GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce Search
Displaying relevance scores for search results
A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security Profiles
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023)
PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare
K-plet Recurrent Neural Networks for Sequential Recommendation
Theme-based retrieval of Web news
Real-time automatic tag recommendation
In Search of Knowledge-Based Search Tactics
Dynamic Content Monitoring and Exploration using Vector Spaces
Reverse annotation based retrieval from large document image collections
Embedding Formulae and Text for Improved Math Retrieval
Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only
Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance
Relaxed online SVMs for spam filtering
Curse of "Low" Dimensionality in Recommender Systems
Process-Supervised LLM Recommenders via Flow-guided Tuning
Predicting query potential for personalization, classification or regression?
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
A Reproducibility Study of PLAID
The Importance of Prior Probabilities for Entry Page Search
Hashtag recommendation for hyperlinked tweets
Examining assessor attributes at HARD 2005
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
Term proximity scoring for ad-hoc retrieval on very large text collections
Using IR Techniques for Text Classification in Document Analysis
Reseda, An Information Retrieval System Using Artificial Intelligence and Knowledge Representation Techniques
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Searchers and Searchers: Differences between the Most and Least Consistent Searchers
How to Deal with Scarce Annotations in Answer Selection
#trapped!: social media search system requirements for emergency management professionals
ERICA: Expert Guidance in Validating Crowd Answers
Health Monitoring on Social Media over Time
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data
Learning Personalized Risk Preferences for Recommendation
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching
Search result diversification via data fusion
A Test Collection for Evaluating Legal Case Law Search
The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks
A Direct Manipulation Interface for Boolean Information Retrieval via Natural Language Query
Visualizing the problems with the INEX topics
IVCR-200K: A Large-Scale Multi-turn Dialogue Benchmark for Interactive Video Corpus Retrieval
Are we on the Right Track?: An Examination of Information Retrieval Methodologies
Bias-variance decomposition of ir evaluation
Evolution of Information Needs based on Life Event Experiences with Topic Transition
MedIR14: medical information retrieval workshop
Multi-Type Textual Reasoning for Product-Aware Answer Generation
Effectiveness Evaluation with a Subset of Topics: A Practical Approach
Dynamic Shard Cutoff Prediction for Selective Search
Truth-O-Meter: Handling Multiple Inconsistent Sources Repairing LLM Hallucinations
A platform for Okapi-based contextual information retrieval
Combining inverted indices and structured search for ad-hoc object retrieval
Effective and efficient user interaction for long queries
Term feedback for information retrieval with language models
Spectral geometry for simultaneously clustering and ranking query search results
Some thoughts on failure analysis for noisy data
Supervised query modeling using wikipedia
Reduce, Reuse, Recycle: Green Information Retrieval Research
How to count thumb-ups and thumb-downs?: an information retrieval approach to user-rating based ranking of items
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems
GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration
Searching blogs and news: a study on popular queries
Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention