yusuke1997/dblp-id-title huggingface dataset:
Time-aware Path Reasoning on Knowledge Graph for Recommendation
Contrastive Learning for Legal Judgment Prediction
PARADE: Passage Representation Aggregation forDocument Reranking
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation
Federated Recommender System Based on Diffusion Augmentation and Guided Denoising
Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation
Social Question Answering: Textual, User, and Network Features for Best Answer Prediction
Evolution of an Organizational Interface: The New Business Department at a Large Insurance Firm
Information Systems Strategy and Implementation: A Case Study of a Building Society
Introduction to the special issue on XML retrieval
A similarity measure for indefinite rankings
An OIS Model for Internal Accounting Control Evaluation
High-performance processing of text queries with tunable pruned term and term pair indexes
Topic Difficulty: Collection and Query Formulation Effects
Deep Coupling Network for Multivariate Time Series Forecasting
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge
Microtask Detection
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment
Recursive Hashing Functions for n-Grams
TFGIN: Tight-Fitting Graph Inference Network for Table-based Fact Verification
A Prototype Electronic Encyclopedia
FORMANAGER: An Office Forms Management System
IDF for Word N-grams
Document Processing in a Relational Database System
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1
Block-Aware Item Similarity Models for Top- N Recommendation
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation
User evaluation of Físchlár-News: An automatic broadcast news delivery system
Sound and complete relevance assessment for XML retrieval
An empirical investigation of user term feedback in text-based targeted image search
A Multifocal Graph-Based Neural Network Scheme for Topic Event Extraction
Using topic themes for multi-document summarization
Ontological user profiling in recommender systems
Transporting the Linguistic String Project System from a Medical to a Navy Domain
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures
Syntactic-Informed Graph Networks for Sentence Matching
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation
DITROFF/FFORTID, An Adaptation of the UNIX DITROFF for Formatting Bidirectional Text
Building a framework for the probability ranking principle by a family of expected weighted rank
Feedback Techniques for Continuity and Synchronisation in Multimedia Information Retrieval
Distributional Fairness-aware Recommendation
Explainable Product Search with a Dynamic Relation Embedding Model
Time-Aware Click Model
Learning Dual-view User Representations for Enhanced Sequential Recommendation
Jointly Learning Representations of Nodes and Attributes for Attributed Networks
Hilbert Exclusion: Improved Metric Search through Finite Isometric Embeddings
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation
Decentralized Collaborative Learning Framework for Next POI Recommendation
From Text to Hypertext by Indexing
Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace
Augmenting Thesauri for Information Systems
Binary Sketches for Secondary Filtering
Probabilistic static pruning of inverted files
Frequency-based identification of correct translation equivalents (FITE) obtained through transformation rules
Online supervised spam filter evaluation
The Design of Star's Records Processing: Data Processing for the Noncomputer Professional
TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation
Alleviating Video-length Effect for Micro-video Recommendation
Re-Finding Behaviour in Vertical Domains
Efficient set intersection for inverted indexing
Getting Around the Task-Artifact Cycle: How to Make Claims and Design by Scenario
Collaborative Intent Prediction with Real-Time Contextual Data
Object Management in Distributed Information Systems
Dual Preference Distribution Learning for Item Recommendation
Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems
Implementing Ranking Strategies Using Text Signatures
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs
Conversations with Search Engines: SERP-based Conversational Response Generation
The Network Visibility Problem
Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network
Graph Co-Attentive Session-based Recommendation
Certified Unlearning for Federated Recommendation
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review
A Data-Driven Analysis of Behaviors in Data Curation Processes
Information scraps: How and why information eludes our personal information management tools
Selected Papers from the Conference on Office Information Systems (Toronto, 1984) - Editor's Introduction
TAE Plus: Transportable Applications Environment Plus: A User Interface Development Environment
MVideoRec: Micro Video Recommendations through Modality Decomposition and Contrastive Learning
Unsupervised Visual and Textual Information Fusion in CBMIR Using Graph-Based Methods
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations
Locality-Based pruning methods for web search
Subspace Frequency Analysis-Based Field Indices Extraction for Electricity Customer Classification
MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services
Optimal Placement of High-Probability Randomly Retrieved Blocks on CLV Optical Discs
An information-theoretic approach to automatic query expansion
DAIDA: An Environment for Evolving Information Systems
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context
Experiments with a Component Theory of Probabilistic Information Retrieval Based on Single Terms as Document Components
A Network Approach to Probabilistic Information Retrieval
Deriving User Preferences of Mobile Apps from Their Management Activities
Answering Arabic Why-Questions: Baseline vs. RST-Based Approach
Diversity in the Use of Electronic Mail: A Preliminary Inquiry
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval
Cold-start User Recommendation via Heterogeneous Domain Adaptation
Contrastive Graph Prompt-tuning for Cross-domain Recommendation
From Users' Intentions to IF-THEN Rules in the Internet of Things
Proximal Nodes: A Model to Query Document Databases by Content and Structure
A Critical Appraisal of Task Taxonomies as a Tool for Studying Office Activities
An Integrated Signature-Based Framework for Efficient Visual Similarity Detection and Measurement in Video Shots
A Re-classification of Information Seeking Tasks and Their Computational Solutions
Triple Sequence Learning for Cross-domain Recommendation
Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language
A Deep Bayesian Tensor-Based System for Video Recommendation
Selective Cluster Presentation on the Search Results Page
A text Compression Scheme that Allows Fast Searching Directly in the Compressed File
VAGUE: A User Interface to Relational Databases that Permits Vague Queries
Efficient web browsing on handheld devices using page and form summarization
Emotional Conversation Generation Based on a Bayesian Deep Neural Network
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Clustering-based incremental web crawling
(Un)likelihood Training for Interpretable Embedding
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues
Neural Recommendation Reasoning with Logic Rules
Named entity translation matching and learning: With application for mining unseen translations
Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART
A Decision-Theoretic Approach to Database Selection in Networked IR
Semantic Collaborative Learning for Cross-Modal Moment Localization
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students
SEAVE: A Mechanism for Verifying User Presuppositions in Query Systems
A Federated Architecture for Information Management
Local Representative-Based Matrix Factorization for Cold-Start Recommendation
Proactive Privacy-preserving Learning for Cross-modal Retrieval
Swipe and Tell: Using Implicit Feedback to Predict User Engagement on Tablets
Automatic metadata generation using associative networks
GRAS: An effective and efficient stemming algorithm for information retrieval
Profile-Based Summarisation for Web Site Navigation
Incorporating contextual information in recommender systems using a multidimensional approach
The task-dependent effect of tags and ratings on social media access
A Reappraisal of Structured Analysis: Design in an Organizational Context
Metric Details for Natural-Language Spatial Relations
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Enhancing Personalized Recommendation by Implicit Preference Communities Modeling
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System
End-to-End Neural Matching for Semantic Location Prediction of Tweets
Characterization and Prediction of Mobile Tasks
Comparing the performance of collection selection algorithms
Learning Robust Sequential Recommenders through Confident Soft Labels
Evolution of web site design patterns
On Deductive Database with Incomplete Information
User Behavior Simulation for Search Result Re-ranking
Hyperdocuments as Automata: Verification of Trace-Based Browsing Properties by Model Checking
Classification-aware hidden-web text database selection
Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods
Does More Context Help? Effects of Context Window and Application Source on Retrieval Performance
Deep Hashing with Semantic Hash Centers for Image Retrieval
Misinformation in Online Social Networks: Detect Them All with a Limited Budget
Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation
A Critical Investigation of Recall and Precision as Measures of Retrieval System Performance
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis
Peer-to-peer data trading to preserve information
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks
The impact on retrieval effectiveness of skewed frequency distributions
Relevance Feedback: The Whole Is Inferior to the Sum of Its Parts
Diagnostic Evaluation of Information Retrieval Models
Federated User Modeling from Hierarchical Information
A Video Retrieval and Sequencing System
Inductive Contextual Relation Learning for Personalization
Textual analysis of stock market prediction using breaking financial news: The AZFin text system
An Algebra for Structured Office Documents
Theories of Conversation for Conversational IR
User Profiling Based on Nonlinguistic Audio Data
Self-Indexing Inverted Files for Fast Text Retrieval
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines
Exceptions and Exception Handling in Computerized Information Processes
Partitioned Signature Files: Design Issues and Performance Evaluation
Authorship Attribution Based on Specific Vocabulary
A Visual Retrieval Environment for Hypermedia Information Systems
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale
VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints
CLAIRE: A modular support vector image indexing and classification system
Does Diversity Affect User Satisfaction in Image Search
Search Improvement via Automatic Query Reformulation
Context Trees: Augmenting Geospatial Trajectories with Context
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment
Feature-Level Attentive ICF for Recommendation
A Speech-Act-Based Office Modeling Approach
Power Law Distributions in Information Retrieval
Knowledge Base Embedding for Sampling-Based Prediction
SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search
XXS: Efficient XPath Evaluation on Compressed XML Documents
Computer Analysis of User Interfaces Based on Repetition in Transcripts of User Sessions
Stability of Recommendation Algorithms
Exploring Dense Retrieval for Dialogue Response Selection
Organizing and managing personal electronic files: A mechanical engineer's perspective
Scaling question answering to the web
Boosting Search Performance Using Query Variations
Reinforced Prompt Personalization for Recommendation with Large Language Models
Probabilistic Models for Contextual Agreement in Preferences
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction
Passage-aware Search Result Diversification
What and How long: Prediction of Mobile App Engagement
Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering
User language model for collaborative personalized search
Context and Orientation in Hypermedia Networks
Natural-Language Retrieval of Images Based on Descriptive Captions
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
Fast Filtering of Search Results Sorted by Attribute
Groupwork Close Up: A Comparison of the Group Design Process With and Without a Simple Group Editor
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding
Spatiotemporal Representation Learning for Translation-Based POI Recommendation
A Study of Probability Kinematics in Information Retrieval
A hierarchical access control model for video database systems
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing
Query Performance Prediction Using Reference Lists
Neural Vector Spaces for Unsupervised Information Retrieval
Enhancing ID-based Recommendation with Large Language Models
Evaluating 3D Task Performance for Fish Tank Virtual Worlds
Volunteerism Tendency Prediction via Harvesting Multiple Social Networks
Multi-grained Document Modeling for Search Result Diversification
Understanding and Leveraging the Impact of Response Latency on User Behaviour in Web Search
Retrieval Evaluation Measures that Agree with Users' SERP Preferences: Traditional, Preference-based, and Diversity Measures
A Model for Input and Output for Multilingual Text in a Windowing Environment
Two-Stage Document Length Normalization for Information Retrieval
A formal model of annotations of digital content
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
Boosting the performance of Web search engines: Caching and prefetching query results by exploiting historical usage data
Gaussian Processes for Rumour Stance Classification in Social Media
AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction
Cyberchondria: Studies of the escalation of medical concerns in Web search
Document Retrieval in Office Environment: Knowledge Modelling and Browsing
Problems and Some Solutions in Customization of Natural Language Database Front Ends
Learning from Hierarchical Structure of Knowledge Graph for Recommendation
Estimating Accesses in Partitioned Signature File Organizations
An Experimental Study of People Creating Spreadsheets
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
A novel document retrieval method using the discrete wavelet transform
Correlation-based retrieval for heavily changed near-duplicate videos
Bounded coordinate system indexing for real-time video clip search
GVoS: A General System for Near-Duplicate Video-Related Applications on Storm
Generating Relevant and Informative Questions for Open-Domain Conversations
Combining relations for information extraction from free text
Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling
Understanding Feeling-of-Knowing in Information Search: An EEG Study
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery
DiffuRec: A Diffusion Model for Sequential Recommendation
Emotion Dynamics of Public Opinions on Twitter
A Critical Study on Data Leakage in Recommender System Offline Evaluation
Integrating Expert Systems with Group Decision Support Systems
On Annotation Methodologies for Image Search Evaluation
A Survey on the Memory Mechanism of Large Language Model-based Agents
Anchor text mining for translation of Web queries: A transitive translation approach
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning
Soft pattern matching models for definitional question answering
How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching
Bureaucracies as Deontic Systems
The Active Badge Location System
Augmenting Organizational Memory: A Field Study of Answer Garden
Early user - system interaction for database selection in massive domain-specific online environments
The Clearinghouse: A Decentralized Agent for Locating Named Objects in a Distributed Environment
Comparison of methods for language-dependent and language-independent query-by-example spoken term detection
Building a Coding Assistant via the Retrieval-Augmented Language Model
Query Processing in a Multimedia Document System
Incremental Formalization with the Hyper-Object Substrate
Strategies for Encouraging Successful Adoption of Office Communication Systems
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling
CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling
Introduction to keeping, refinding and sharing personal information
Efficient fuzzy search in large text collections
Anytime Ranking on Document-Ordered Indexes
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing
Selective Search: Efficient and Effective Search of Large Textual Collections
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines
Generalized Weak Supervision for Neural Information Retrieval
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?
Office-by-Example: An Integrated Office System and Database Manager
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation
PIC matrices: a computationally tractable class of probabilistic query operators
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems
Distributed Recommendation Systems: Survey and Research Directions
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models
Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation
Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination
From Matching to Generation: A Survey on Generative Information Retrieval
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation
Static index pruning in web search engines: Combining term and document popularities with query views
The Dimensions of Accessibility to Online Information: Implications for Implementing Office Information Systems
On the Vulnerability of Graph Learning-based Collaborative Filtering
Access Control for Large Collections
The COSIE Communication Subsystem: Support for Distributed Office Applications
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering
The 3DIS: An Extensible Object-Oriented Information Management Environment
Overview of the Special Issue on Trust and Veracity of Information in Social Media
Dynamic lightweight text compression
Data Augmentation for Sample Efficient and Robust Document Ranking
A distributed, service-based framework for knowledge applications with multimedia
Reinforcement Routing on Proximity Graph for Efficient Recommendation
Chimera: hypermedia for heterogeneous software development enviroments
The Spatial Metaphor for User Interfaces: Experimental Tests of Reference by Location versus Name
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management
Converting a Textbook to Hypertext
I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts
A Variational Neural Architecture for Skill-based Team Formation
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction
MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation
SMAPH: A Piggyback Approach for Entity-Linking in Web Queries
User Invariant Preference Learning for Multi-Behavior Recommendation
Safe Exploration for Optimizing Contextual Bandits
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing
A novel framework for efficient automated singer identification in large music databases
FNED: A Deep Network for Fake News Early Detection on Social Media
Dual-factor Generation Model for Conversation
An efficient normalized maximum likelihood algorithm for DNA sequence compression
Modeling and Mining Domain Shared Knowledge for Sentiment Analysis
Phone-Based CSCW: Tools and Trials
A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization
ITS: A Tool for Rapidly Developing Interactive Applications
Predicting Representations of Information Needs from Digital Activity Context
Computer Systems and the Design of Organizational Interaction
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Counterfactual Explanation for Fairness in Recommendation
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks