yusuke1997/dblp-id-title huggingface dataset:
Signature Files: An Access Method for Documents and Its Analytical Performance Evaluation
Automated Disentangled Sequential Recommendation with Large Language Models
Content redundancy in YouTube and its application to video tagging
Suggesting Points-of-Interest via Content-Based, Collaborative, and Hybrid Fusion Methods in Mobile Devices
Debiased Cognition Representation Learning for Knowledge Tracing
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
Performance issues and error analysis in an open-domain question answering system
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems
Multidocument summarization: An added value to clustering in interactive retrieval
On Effective Location-Aware Music Recommendation
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation
Ownership Verification for Federated Recommendation
Designing with the User - Book Review
Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications
DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs
Efficient Neural Matrix Factorization without Sampling for Recommendation
Semantic Models for the First-Stage Retrieval: A Comprehensive Review
Personalized Context-Aware Point of Interest Recommendation
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants
A Shared, Segmented Memory System for an Object-Oriented Database
Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval
City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets
Understanding the "Pathway" Towards a Searcher's Learning Objective
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation
Editorial: Reviewer merits and review control in an age of electronic manuscript management systems
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations
An Experimental Distributed Modeling System
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems
A Visual Interface for a Database with Version Management
Tweet Can Be Fit: Integrating Data from Wearable Sensors and Multiple Social Networks for Wellness Profile Learning
Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains
The UAN: A User-Oriented Representation for Direct Manipulation Interface Designs
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation
Efficient content-based indexing of large image databases
Geographic Diversification of Recommended POIs in Frequently Visited Areas
Answering XML queries by means of data summaries
Evaluating collaborative filtering recommender systems
Unidraw: A Framework for Building Domain-Specific Graphical Editors
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion
Computerized Performance Monitors as Multidimensional Systems: Derivation and Application
TROLL - A Language for Object-Oriented Specification of Information Systems
Incremental Clustering for Dynamic Information Processing
Preference-Based Decision Making for Cooperative Knowledge-Based Systems
A Speech-Act Negotiation Protocol: Design, Implementation, and Test Use
KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
Extended probabilistic HAL with close temporal association for psychiatric query document retrieval
ROGER: Ranking-Oriented Generative Retrieval
Patent Query Formulation by Synthesizing Multiple Sources of Relevance Evidence
Sequence-aware Knowledge Distillation for a Lightweight Event Representation
Extraction, characterization and utility of prototypical communication groups in the blogosphere
An Investigation of Content Representation Using Text Grammars
Constructing Click Model for Mobile Search with Viewport Time
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Geoparsing and Geosemantics for Social Media: Spatiotemporal Grounding of Content Propagating Rumors to Support Trust and Veracity Analysis during Breaking News
Behavioral Experiments on Handmarkings
Component-based Analysis of Dynamic Search Performance
Latent semantic models for collaborative filtering
Query Optimization on Local Area Networks
Computer-Human Interaction and ACM TOIS - Editorial
Message System Mores: Etiquette in Laurel
Towards Goal-oriented Intelligent Tutoring Systems in Online Education
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction
Learning Human Feedback from Large Language Models for Content Quality-aware Recommendation
When to Stop Reviewing in Technology-Assisted Reviews: Sampling from an Adaptive Distribution to Estimate Residual Relevant Documents
Meta-Learning to Rank for Sparsely Supervised Queries
LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops
Embedding Hierarchical Structures for Venue Category Representation
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment
Ad Hoc, self-supervising peer-to-peer search networks
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variables
Bridging Dense and Sparse Maximum Inner Product Search
CRSAL: Conversational Recommender Systems with Adversarial Learning
A Model for Naming, Addressing, and Routing
Post-Training Attribute Unlearning in Recommender Systems
Efficient Video Stream Monitoring for Near-Duplicate Detection and Localization in a Large-Scale Repository
Detecting Fake Medical Web Sites Using Recursive Trust Labeling
Unified relevance models for rating prediction in collaborative filtering
How Do People Organize Their Desks? Implications for the Design of Office Information Systems
Shortest-substring retrieval and ranking
Enhancing Recommendation with Search Data in a Causal Learning Manner
A Multi-strategy-based Pre-training Method for Cold-start Recommendation
Augmentation with Neighboring Information for Conversational Recommendation
Conditional Cross-Platform User Engagement Prediction
Evaluating Hypermedia and Learning: Methods and Results from the Perseus Project
Spoken Conversational Context Improves Query Auto-completion in Web Search
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs
Data Model Issues for Object-Oriented Applications
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments
Robust result merging using sample-based score estimates
Using an Inverted Index Synopsis for Query Latency and Performance Prediction
A Corpus Analysis Approach for Automatic Query Expansion and Its Extension to Multiple Databases
Corpus-Based Stemming Using Cooccurrence of Word Variants
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation
Enhancing relevance feedback in image retrieval using unlabeled data
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey
Diversifying Query Auto-Completion
A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms
Sequential Patterns in Information Systems Development: An Application of a Social Process Model
Semantic clustering of XML documents
Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure
Improving Recommender Systems by Incorporating Social Contextual Information
Principles of Delay-Sensitive Multimedia Data Storage and Retrieval
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing
Sequential Recommendation with Multiple Contrast Signals
Handling Massive N -Gram Datasets Efficiently
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
Hyperform: A Hypermedia System Development Environment
TOIS reviewers January 2006 through May 2007
Behavioral dynamics on the web: Learning, modeling, and prediction
Triple Dual Learning for Opinion-based Explainable Recommendation
The Role of Critiquing in Cooperative Problem Solving
A Blueprint of IR Evaluation Integrating Task and User Characteristics
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation
Geometric-Augmented Self-Distillation for Graph-Based Recommendation
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Knowledge-Based Tools to Promote Shared Goals and Terminology Between Interface Designers
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation
Contrastive Clustering Learning for Multi-Behavior Recommendation
Data Sharing in Group Work
Social Context-aware Person Search in Videos via Multi-modal Cues
TOIS Charter
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification
X-Class: Associative Classification of XML Documents by Structure
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction
Communications Design for Co-oP: A Group Decision Support System
TISoN: Trust Inference in Trust-Oriented Social Networks
Interest-based personalized search
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction
PageRank without hyperlinks: Structural reranking using links induced by language models
Digital Wildfires: Propagation, Verification, Regulation, and Responsible Innovation
Improving the effectiveness of information retrieval with local context analysis
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Collection statistics for fast duplicate document detection
Efficient k-nearest neighbor searching in nonordered discrete data spaces
XIRQL: An XML query language based on information retrieval concepts
Design and Evaluation of Algorithms for Image Retrieval by Spatial Similarity
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs
A Review Selection Method Based on Consumer Decision Phases in E-commerce
Document Ranking on Weight-Partitioned Signature Files
Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging
Generalized Fractal Views: A Fractal-Based Method for Controlling Information Display
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation
Personalizing Medication Recommendation with a Graph-Based Approach
A system for the static analysis of XPath
Causal Time-aware News Recommendations with Large Language Models
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
Meaningful Answer Generation of E-Commerce Question-Answering
Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1
Learning to Learn a Cold-start Sequential Recommender
Direct posterior confidence for out-of-vocabulary spoken term detection
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents?
PocketLens: Toward a personal recommender system
Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching
Trust Prediction via Belief Propagation
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network
ServiceFinder: A method towards enhancing service portals
Cursor Movement during Text Editing
User Behavior Simulation with Large Language Model-based Agents
AgentTOD: A Task-Oriented Dialogue Agent with a Flexible and Adaptive API Calling Paradigm
Query-based sampling of text databases
Learning author-topic models from text corpora
Office Automation Projects and Their Impact on Organization, Planning, and Control
Making a Digital Library: The Contents of the CORE Project
An analysis of latent semantic term self-correlation
How people recall, recognize, and reuse search results
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation
Precision recall with user modeling (PRUM): Application to structured information retrieval
Document Score Distribution Models for Query Performance Inference and Prediction
An information-theoretic framework for semantic-multimedia retrieval
A Butler Process for Resource Sharing on Spice Machines
Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation
Inverted Treaps
Understanding and Predicting User Satisfaction with Conversational Recommender Systems
Collaborative Graph Learning for Session-based Recommendation
Object Specialization
Denoising Heterogeneous Graph Pre-training Framework for Recommendation
Aggregation Methods for Proximity-Based Opinion Retrieval
Toward Comprehensive User and Item Representations via Three-tier Attention Network
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Taxonomy generation for text segments: A practical web-based approach
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders
An Architecture for Object Management in OIS
Order-Preserving Minimal Perfect Hash Functions and Information Retrieval
Ranking function adaptation with boosting trees
Integrating an Object Server with Other Worlds
Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach
MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation
Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge
Question Tagging via Graph-guided Ranking
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation
Personality Dialogue Agent Based on Personality Description and Conversation History
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models
Whiteboards: A Graphical Database Tool
A study of smoothing methods for language models applied to information retrieval
ELAKT: Enhancing Locality for Attentive Knowledge Tracing
The Footprint of Factorization Models and Their Applications in Collaborative Filtering
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation
Evaluation of an Algorithm for Finding a Match of a Distorted Texture Pattern in a Large Image Database
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks
Search by Screenshots for Universal Article Clipping in Mobile Apps
Target-guided Emotion-aware Chat Machine
A Next Basket Recommendation Reality Check
A general-purpose compression scheme for large collections
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model
Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media
Joint Neural Collaborative Filtering for Recommender Systems
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation
Recognize News Transition from Collective Behavior for News Recommendation
A Tensor-Based Information Framework for Predicting the Stock Market
Efficient mining of both positive and negative association rules
CATS: Customizable Abstractive Topic-based Summarization
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue
Using Replicates in Information Retrieval Evaluation
Qualitative decision making in adaptive presentation of structured information
Cross-domain Recommendation via Dual Adversarial Adaptation
Fast-Forward Index Methods for Pseudo-Relevance Feedback Retrieval
On the Expressive Power of Query Languages
Complete Logical Routings in Computer Mail Systems
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback
A semantic network-based design methodology for XML documents
WYSIWIS Revised: Early Experiences with Multiuser Interfaces
A market-based approach to recommender systems
Finding a Happy Medium: Explaining the Negative Effects of Electronic Communication on Social Life at Work
A Knowledge Graph Embedding Model for Answering Factoid Entity Questions
SLED: Structure Learning based Denoising for Recommendation
Task Support in an Office System
Offline versus Online Representation Learning of Documents Using External Knowledge
Personalized News Recommendation: Methods and Challenges
Privacy-Preserving Sequential Recommendation with Collaborative Confusion
A highly scalable and effective method for metasearch
Social Link Prediction in Online Social Tagging Systems
Towards Efficient Framework for Time-Aware Spatial Keyword Queries on Road Networks
Harp: A Distributed Query System for Legacy Public Libraries and Structured Databases
Cost-Benefit Methodology for Office Systems
Learning from Multi-annotator Data: A Noise-aware Classification Framework
VideoDraw: A Video Interface for Collaborative Drawing
Distributed Form Management
Logical and physical design issues for smart card databases
Information System Behavior Specification by High-Level Petri Nets
A Flexible Authorization Mechanism for Relational Data Management Systems
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems
Enhancing Sequential Personalized Product Search with External Out-of-sequence Knowledge
Learning a Hierarchical Intent Model for Next-Item Recommendation
The nonverbal structure of patient case discussions in multidisciplinary medical team meetings
DirichletRank: Solving the zero-one gap problem of PageRank
Dynamic element retrieval in a structured environment
Version-Aware Rating Prediction for Mobile App Recommendation
Understanding Diversity in Session-based Recommendation
Editorial Message from the New Editor-in-Chief
Theory of keyblock-based image retrieval
A Distributed Object-Oriented Database System Supporting Shared and Private Databases
Structured Hypertext with Domain Semantics
Factors Influencing Users' Information Requests: Medium, Target, and Extra-Topical Dimension
Approximate Recall Confidence Intervals
A Probabilistic Learning Approach for Document Indexing
Learning Implicit and Explicit Multi-task Interactions for Information Extraction
Does a one-size recommendation system fit all? the effectiveness of collaborative filtering based recommendation systems across different domains and search modes
Partially Shared Views: A Scheme for Communicating among Groups that Use Different Type Hierarchies
Causal Inference for Multi-Criteria Rating Recommender Systems
Deep Item-based Collaborative Filtering for Top-N Recommendation
Description and Performance Analysis of Signature File Methods for Office Filing
Document-level Relation Extraction with Progressive Self-distillation
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Using Collection Shards to Study Retrieval Performance Effect Sizes
A General Explanation Component for Conceptual Modeling in CASE Environments
Efficient passage ranking for document databases
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation
KNOs: KNowledge Acquisition, Dissemination, and Manipulation Objects
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
Relational Prompt-Based Pre-Trained Language Models for Social Event Detection
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity
A Price-per-attention Auction Scheme Using Mouse Cursor Information
Channel Selection and Effective Communication for Managerial Decision Making
A large scale, corpus-based approach for automatically disambiguating biomedical abbreviations
Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering
A Database Design Methodology and Tool for Information Systems
Interface Design and Multivariate Analysis of UNIX Command Use
Accounting for Language Changes Over Time in Document Similarity Search
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation
Enriching Documents with Examples: A Corpus Mining Approach
Supporting Organizational Problem Solving with a Work Station
The Model-Assisted Global Query System for Multiple Databases in Distributed Enterprises
A Comparative Analysis of Interleaving Methods for Aggregated Search
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering
A Noise-Oriented and Redundancy-Aware Instance Selection Framework
Towards Question-based High-recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-assisted Reviews
Data Structures for Efficient Broker Implementation
Investigating Searchers' Mental Models to Inform Search Explanations
Experiences with Selecting Search Engines Using Metasearch
MUADDIB: A distributed recommender system supporting device adaptivity
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation
Modeling Term Associations for Probabilistic Information Retrieval
Coverage, relevance, and ranking: The impact of query operators on Web search engine results
XMovie: Architecture and Implementation of a Distributed Movie System
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Influence Estimation and Maximization in Continuous-Time Diffusion Networks
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data
Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees
Information filtering and query indexing for an information retrieval model
Incorporating User Expectations and Behavior into the Measurement of Search Effectiveness
TSSuBERT: How to Sum Up Multiple Years of Reading in a Few Tweets
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
Latent Discriminative Models for Social Emotion Detection with Emotional Dependency
Detection of video sequences using compact signatures
Using Local Optimality Criteria for Efficient Information Retrieval with Redundant Information Filters