yusuke1997/dblp-id-title huggingface dataset:
Automatic Feedback Using Past Queries: Social Searching?
Knowledge Based Hyperbolic Propagation
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Discovering Experts across Multiple Domains
QSG Transformer: Transformer with Query-Attentive Semantic Graph for Query-Focused Summarization
HeteroCS: A Heterogeneous Community Search System With Semantic Explanation
Package Recommendation with Intra- and Inter-Package Attention Networks
Analyzing bias in CQA-based expert finding test sets
Preference-based Evaluation Metrics for Web Image Search
Incorporating query term dependencies in language models for document retrieval
Utilizing relevance feedback in fusion-based retrieval
Utilizing marginal net utility for recommendation in e-commerce
Multivariate Representation Learning for Information Retrieval
Sources of evidence for vertical selection
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
Brain Image Reconstruction with Retrieval-Augmented Diffusion
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach
TMML: Text-Guided MuliModal Product Location For Alleviating Retrieval Inconsistency in E-Commerce
Personalized Query Auto-Completion Through a Lightweight Representation of the User Context
Universal Adversarial Perturbations for Vision-Language Pre-trained Models
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading
Multi-Document Answer Generation for Non-Factoid Questions
AliISA: Creating an Interactive Search Experience in E-commerce Platforms
A retrospective study of probabilistic context-based retrieval
Leveraging Lead Bias for Zero-shot Abstractive News Summarization
Bayes optimal metasearch: a probabilistic model for combining the results
YaLi: a crowdsourcing plug-in for NERD
MQX: multi-query engine for compressed XML data
Reinforcement Learning for User Intent Prediction in Customer Service Bots
Evaluating different methods of estimating retrieval quality for resource selection
Post-Learning Optimization of Tree Ensembles for Efficient Ranking
Multilingual people search
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
On social networks and collaborative recommendation
ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
Scaling Sequential Recommendation Models with Transformers
What makes data robust: a data analysis in learning to rank
Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
A Non-Factoid Question-Answering Taxonomy
BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain
Boosting static pruning of inverted files
DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things
Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection
Generating Better Queries for Systematic Reviews
TFMAP: optimizing MAP for top-n context-aware recommendation
The MultiText Retrieval System (demonstration abstract)
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Studying the use of popular destinations to enhance web search interaction
Time-Aware Authorship Attribution for Short Text Streams
Ingrams: A Neuropsychological Explanation For Why People Search
Simulating Interactive Information Retrieval: SimIIR: A Framework for the Simulation of Interaction
Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking
An investigation of decompounding for cross-language patent search
A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers
Placing images on the world map: a microblog-based enrichment approach
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Multi-dimensional Formula Feature Modeling for Mathematical Information Retrieval
Matching Point of Interests and Travel Blog with Multi-view Information Fusion
Panel Discussion: Information Implications into the Eighties
Scalability and efficiency challenges in commercial web search engines
The effect of query type on subject searching behavior of image databases: an exploratory study
A File Organization for Cluster-Based Retrieval
Improving Conversational Passage Re-ranking with View Ensemble
Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
Neural Compatibility Modeling with Attentive Knowledge Distillation
Combining coregularization and consensus-based self-training for multilingual text categorization
CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions
Item group based pairwise preference learning for personalized ranking
Improving unsupervised query segmentation using parts-of-speech sequence information
Document clustering: an optimization problem
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection
DiLight: an ontology-based information access system for e-learning environments
Personal Browser
Project Envision (Demo)
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Combining Multiple Evidence from Different Properties of Weighting Schemes
Query Term Expansion by Automatic Learning of Morphological Equivalence Patterns from Wikipedia
Smoothing clickthrough data for web search ranking
Legal Judgment Prediction via Relational Learning
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
Blurring-Sharpening Process Models for Collaborative Filtering
Tag-based object similarity computation using term space dimension reduction
Reassessing Large Language Model Boolean Query Generation for Systematic Reviews
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
Automatic boolean query suggestion for professional search
TweetSpector: entity-based retrieval of tweets
Some Research Problems in Automatic Information Retrieval
Comparing cross-language query expansion techniques by degrading translation resources
ALLOY: An Amalgamation of Expert, Linguistic and Statistical Indexing Methods
Capturing collection size for distributed non-cooperative retrieval
How UMass-FSD Inadvertently Leverages Temporal Bias
Combining document- and paragraph-based entity ranking
Comprehensive List Generation for Multi-Generator Reranking
Experiments on the Application of Clustering Techniques to Data Validation (Abstract)
Is this urgent?: exploring time-sensitive information needs in collaborative question answering
How k-12 students search for learning?: analysis of an educational search engine log
Applying ranking SVM in query relaxation
FRank: a ranking method with fidelity loss
Opinion holder extraction from author and authority viewpoints
MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce
Identifying Entity Properties from Text with Zero-shot Learning
Selection and ranking of text from highly imperfect transcripts for retrieval of video content
Cross-Lingual Information Retrieve in Sogou Search
Navigating Imprecision in Relevance Assessments on the Road to Total Recall: Roger and Me
Gender Fairness in Information Retrieval Systems
Indexing, searching, and retrieving of recorded live presentations with the AOF (authoring on the fly) search engine
Exploiting Clustering and Phrases for Context-based Information Retrieval
Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores
Equity of Attention: Amortizing Individual Fairness in Rankings
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
Large-scale graph mining and learning for information retrieval
Effective sentiment stream analysis with self-augmenting training and demand-driven projection
A Semantic Model and Schema Notation for Bibliographic Retrieval Systems
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation
PageRank, HITS and a unified framework for link analysis
Multimedia answering: enriching text QA with media information
A Deductive Data Model for Query Expansion
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward
Concept-based biomedical text retrieval
Explaining Controversy on Social Media via Stance Summarization
A Large-Scale Study of Mobile Search Examination Behavior
Efficient query recommendations in the long tail via center-piece subgraphs
KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
Entity-based retrieval
Topic based language models for OCR correction
Query length in interactive information retrieval
Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles
FedCMR: Federated Cross-Modal Retrieval
XML-aided phrase indexing for hypertext documents
Liberal relevance criteria of TREC -: counting on negligible documents?
Heavy-tailed distributions and multi-keyword queries
Experiments with Query Acquisition and Use in Document Retrieval Systems
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition
Proceedings of the 1973 meeting on Programming languages and information retrieval, SIGPLAN 1973, Gaithersburg, Maryland, USA, November 4-6, 1973
Spatial Querying for Image Retrieval: A User-Oriented Evaluation
Optimization of Inverted Vector Searches
Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
Normalized Query Commitment Revisited
Learning to personalize trending image search suggestion
Mining, Ranking and Recommending Entity Aspects
Email is a stage: discovering people roles from email archives
Combined Regression and Tripletwise Learning for Conversion Rate Prediction in Real-Time Bidding Advertising
Single-shot Feature Selection for Multi-task Recommendations
Effective query expansion with the resistance distance based term similarity metric
DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs
Finding translations in scanned book collections
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
Generative Retrieval via Term Set Generation
Mobile query reformulations
Fast and Compact Hamming Distance Index
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
A System for Discovering Relationships by Feature Extraction from Text Databases
Improving hierarchical text classification using unlabeled data
On the Effect of Low-Frequency Terms on Neural-IR Models
Measuring constraint violations in information retrieval
Problems in the Simulation of Bibliographic Retrieval Systems
A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph
Towards New Measures of Information Retrieval Evaluation
Joint Optimization of Ad Ranking and Creative Selection
Title, Preface, Contributors
Click-through prediction for news queries
Can Models of Author Intention Support Quality Assessment of Content?
Searching for Reliable Facts over a Medical Knowledge Base
Segment-level display time as implicit feedback: a comparison to eye tracking
Efficiency-Effectiveness Trade-Offs in Machine Learned Models for Information Retrieval
Dissemination of Collection Wide Information in a Distributed Information Retrieval System
Fusion of Heterogeneous Information in Graph-Based Ranking for Query-Biased Summarization
Improving searcher models using mouse cursor activity
Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching
Facebook Content Search: Efficient and Effective Adapting Search on A Large Scale
Cobwebs from the Past and Present: Extracting Large Social Networks using Internet Archive Data
Asymmetric Hashing for Fast Ranking via Neural Network Measures
Conversational Question Answering on Heterogeneous Sources
On the existence of obstinate results in vector space models
Uncovering social spammers: social honeypots + machine learning
BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation
Bridging Gaps: Predicting User and Task Characteristics from Partial User Information
Beyond bag-of-words: machine learning for query-document matching in web search
Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval
Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017
Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment
Personalized News Recommendation with Knowledge-aware Interactive Matching
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
How medical expertise influences web search interaction
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Robust Information Retrieval
A web page topic segmentation algorithm based on visual criteria and content layout
Incorporating global information into named entity recognition systems using relational context
Probabilistic Combination of Content and Links
Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach
3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022)
Faster Learned Sparse Retrieval with Block-Max Pruning
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search
Topic (query) selection for IR evaluation
Deep Position-wise Interaction Network for CTR Prediction
Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph
SIGIR 2017 Workshop on eCommerce (ECOM17)
Document summarization based on word associations
Aligning Distillation For Cold-start Item Recommendation
De-duping URLs with Sequence-to-Sequence Neural Networks
Text categorization for streams
How does Domain Expertise Affect Users' Search Processes in Exploratory Searches?
Can search systems detect users' task difficulty?: some behavioral signals
Searching for Communities: a Facebook Way
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge Distillation
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction
Query side evaluation: an empirical analysis of effectiveness and effort
Do Neural Ranking Models Intensify Gender Bias?
Efficient Recompression Techniques for Dynamic Full-Text Retrieval Systems
Shame to be sham: addressing content-based grey hat search engine optimization
Incremental diversification for very large sets: a streaming-based approach
On document splitting in passage detection
Decoding The Style And Bias of Song Lyrics
An Outline of a General Model for Information Retrieval Systems
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Is the Cranfield paradigm outdated?
Novelty detection using local context analysis
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes
Intelligent fusion of structural and citation-based evidence for text classification
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval
Simpler is Much Faster: Fair and Independent Inner Product Search
SIGIR '97: Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 27-31, 1997, Philadelphia, PA, USA
MURAX: A Robust Linguistic Approach for Question Answering Using an On-Line Encyclopedia
On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records
ExaRanker: Synthetic Explanations Improve Neural Rankers
Toward better weighting of anchors
Content-aware Neural Hashing for Cold-start Recommendation
Evaluation of an extraction-based approach to answering definitional questions
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
Measuring ineffectiveness
Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
Multi-intent-aware Session-based Recommendation
Query Expansion for Email Search
Why structural hints in queries do not help XML-retrieval
Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI
A Method for Monolingual Thesauri Merging
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking
Extractive summarisation via sentence removal: condensing relevant sentences into a short summary
Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?
Reputation analysis with a ranked sentiment-lexicon
Preface, Conference Committee
Conversational Recommendation: Formulation, Methods, and Evaluation
Utilizing inter-document similarities in federated search
Information Seeking at Different Stages of the RD Research Process (poster abstract)
Ice-tea: an interactive cross-language search engine with translation enhancement
Parallel Text Searching in Serial Files Using a Processor Farm
Creating temporally dynamic web search snippets
Aggregated click-through data in a homogeneous user community
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
A unified model of literal mining and link analysis for ranking web resources
Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)
Find-similar: similarity browsing as a search tool
Analysis of lexical signatures for finding lost or related documents
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking
Capturing page freshness for web search
InPars: Unsupervised Dataset Generation for Information Retrieval
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval
The New English Oxford English Dictionary and its Potential Users: Some Preliminary Comments
You Are What You Bought: Generating Customer Personas for E-commerce Applications
The recap system for identifying information flow
The OldDog Docker Image for OSIRRC at SIGIR 2019
Novelty detection across different source types and languages
When query expansion fails
Ranking with multiple hyperplanes
First Experiences with TIRA for Reproducible Evaluation in Information Retrieval
Stopping Criteria for Technology Assisted Reviews based on Counting Processes
Re-ranking Answer Selection with Similarity Aggregation
An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages
Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation
Re-examining search result snippet examination time forrelevance estimation
Error analysis of difficult TREC topics
Supervised Hierarchical Cross-Modal Hashing
ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation
User-controllable Recommendation Against Filter Bubbles
Evaluating Contrastive Feedback for Effective User Simulations
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search
Multikey Access Methods Based on Term Discrimination and Signature Clustering
Optimised Scheduling of Online Experiments
Repetition and Exploration in Sequential Recommendation
Relevance thresholds in system evaluations
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009
Kinship contextualization: utilizing the preceding and following structural elements
Intentions and attention in exploratory health search
Improving Cross Language Information Retrieval with Triangulated Translation
Computing text Constituency: An Algorithmic Approach to the Generation of Text Graphs
iGlasses: A Novel Recommendation System for Best-fit Glasses
Minexml: bridging unstructured query with structured resources via mediated query
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension
Analysis of Sentiment Communities in Online Networks
News2PubMed: A Browser Extension for Linking Health News to Medical Literature
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
Exploiting endorsement information and social influence for item recommendation
A Study of the Overlap Among Document Representations
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Multi-platform image search using tag enrichment
The SMAPH system for query entity recognition and disambiguation
Topic set size redux
Propensity-scored Probabilistic Label Trees
History repeats itself: repeat queries in Yahoo's logs
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with joint BERT-CRF Model
Metadata Matters in User Engagement Prediction
Pseudo Siamese Network for Few-shot Intent Generation
Scalability of findability: effective and efficient IR operations in large information networks
Injecting user models and time into precision via Markov chains
Recent Advances in Retrieval-Augmented Text Generation
DiffIR: Exploring Differences in Ranking Models' Behavior
Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Defining & Optimizing Quality of LinkedIn's Content Search
Seeing Bot
Identifying Collaborations among Researchers: a pattern-based approach
Cross-Language Information Retrieval with the UMLS Metathesaurus
Why Machines Cannot Learn Mathematics, Yet
Knowledge Graph Contrastive Learning for Recommendation
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction
HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation
Compact Snippet Caching for Flash-based Search Engines
BM25 Pseudo Relevance Feedback Using Anserini at Waseda University