yusuke1997/dblp-id-title huggingface dataset:
Causal Relationship Detection in Archival Collections of Product Reviews for Understanding Technology Evolution
M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation
Exploiting Parallelism in Pattern Matching: An Information Retrieval Application
Petri-Net-Based Hypertext: Document Structure with Browsing Semantics
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation
A Knowledge-Based Message Management System
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-domain Recommendation
Cooperating Knowledge-Based Assistants for the Office
New Techniques for Best-Match Retrieval
Further Insights on Drawing Sound Conclusions from Noisy Judgments
Historical spatio-temporal aggregation
rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models
Suffix Array Construction in External Memory Using D-Critical Substrings
Towards Effective and Efficient Sparse Neural Information Retrieval
Beyond intratransaction association analysis: mining multidimensional intertransaction association rules
Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems
Application of aboutness to functional benchmarking in information retrieval
An Analysis of Fusion Functions for Hybrid Retrieval
Exploiting Positional Information for Session-Based Recommendation
Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction
Toward a semantic granularity model for domain-specific information retrieval
Fast and flexible word searching on compressed text
Lessons Learned from SUIT, the Simple User Interface Toolkit
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search
Targeted Advertising in Public Transportation Systems with Quantitative Evaluation
Extending document management systems with user-specific active properties
A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval
Online and Offline Evaluation in Search Clarification
Unsupervised Social Bot Detection via Structural Information Theory
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks
Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation
An Experimental Multimedia Mail System
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences
Evaluation of Model-Based Retrieval Effectiveness with OCR Text
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
Query enrichment for web-query classification
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation
Clustered Elias-Fano Indexes
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability
Clusters, language models, and ad hoc information retrieval
Integration of Interpersonal Space and Shared Workspace: ClearBoard Design and Experiments
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
Georeferencing Wikipedia Documents Using Data from Social Media Sources
Dual Contrastive Learning for Cross-Domain Named Entity Recognition
Search Result Diversification in Short Text Streams
A New Model for Handling Input
TOIS reviewers 2003-2005
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities
The Impacts of Structural Difference and Temporality of Tweets on Retrieval Effectiveness
How Can Recommender Systems Benefit from Large Language Models: A Survey
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions
An Iterative Design Methodology for User-Friendly Natural Language Office Information Applications
Information Retrieval Evaluation Measures Defined on Some Axiomatic Models of Preferences
Debiased Recommendation with User Feature Balancing
PEPT: Expert Finding Meets Personalized Pre-Training
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering
The Effect of Social and Physical Detachment on Information Need
Context Interchange: New Features and Formalisms for the Intelligent Integration of Information
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
MEGA - the maximizing expected generalization algorithm for learning complex query concepts
Efficient Document-at-a-time and Score-at-a-time Query Evaluation for Learned Sparse Representations
The Query Change Model: Modeling Session Search as a Markov Decision Process
The Equalizing Impact of a Group Support System on Status Differentials
Personalized and Diversified: Ranking Search Results in an Integrated Way
Assessing Top- Preferences
Collaborative Conceptual Schema Design: A Process Model and Prototype System
Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource Selection
An Intent Taxonomy of Legal Case Retrieval
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training
Conceptual Learning in Database Design
End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference
How Am I Doing?: Evaluating Conversational Search Systems Offline
Design Implications of a Task-Driven Approach to Unstructured Cognitive Tasks in Office Work
Attentive Long Short-Term Preference Modeling for Personalized Product Search
Detecting and Tracking Topics and Events from Web Search Logs
Model-driven development of Web applications: the AutoWeb system
Complex-valued Neural Network-based Quantum Language Models
Ranking-Oriented Collaborative Filtering: A Listwise Approach
Meta-evaluation of Conversational Search Evaluation Metrics
A Generator of Direct Manipulation Office Systems
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
A General Framework for Bidirectional Translation between Abstract and Pictorial Data
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories
Some Inconsistencies and Misidentified Modeling Assumptions in Probabilistic Information Retrieval
Meta-Information in Conversational Search
Dependable filtering: Philosophy and realizations
Explaining Text Matching on Neural Natural Language Inference
Customizing Information Capture and Access
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks
Unifying Graph Neural Networks with a Generalized Optimization Framework
Few-shot Learning for Heterogeneous Information Networks
Ensuring the Court Admissibility of Computer-Generated Records
Computing graphical queries over XML data
Productivity Trends in Certain Office-Intensive Sectors of the U.S. Federal Government
Access to, Usage of, and Outcomes from an Electronic Messaging System
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework
Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models
Improved search engines and navigation preference in personal information management
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder
HDM - A Model-Based Approach to Hypertext Application Design
Belief Dynamics and Biases in Web Search
A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization
Position-aware Graph Transformer for Recommendation
Electronic Calendars in the Office: An Assessment of User Needs and Current Technology
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction
Preference Logical Reasoning with Preference Operators for Explainable Recommendations
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights
Mining Exploratory Behavior to Improve Mobile App Recommendations
Self-Spacial Join Selectivity Estimation Using Fractal Concepts
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering
On Automated Message Processing in Electronic Commerce and Work Support Systems: Speech Act Theory and Expressive Felicity
Exploring the music similarity space on the web
Summary in context: Searching versus browsing
Simulating and Modeling the Risk of Conversational Search
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
Personality-affected Emotion Generation in Dialog Systems
Leveraging Narrative to Generate Movie Script
Overview of the Special Issue on Contextual Search and Recommendation
Average User-Side Counterfactual Fairness for Collaborative Filtering
AWARE: Exploiting Evaluation Measures to Combine Multiple Assessors
Topic Modeling for Wikipedia Link Disambiguation
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank
CO 2 : Inferring Personal Interests From Raw Footprints by Connecting the Offline World with the Online World
Trusting spam reporters: A reporter-based reputation system for email filtering
Conversational Search and Recommendation: Introduction to the Special Issue
Exploiting User and Venue Characteristics for Fine-Grained Tweet Geolocation
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Analysis of lexical signatures for improving information persistence on the World Wide Web
Analyzing Due Process in the Workplace
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?
Sibyl, a factoid question-answering system for spoken documents
Graph Neural Pre-training for Recommendation with Side Information
Learning to Retrieve User Behaviors for Click-through Rate Estimation
Assessing multivariate Bernoulli models for information retrieval
Reinforcement Learning-based Collective Entity Alignment with Adaptive Features
Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation
Evaluating implicit feedback models using searcher simulations
Document Architecture and Text Formatting
Compression, Information Theory, and Grammars: A Unified Approach
Portability of Syntax and Semantics in Datalog
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results
A Society Model for Office Information Systems
Exploring memory in email refinding
TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
Utilizing inter-passage and inter-document similarities for reranking search results
A Meta-Framework for Modeling the Human Reading Process in Sentiment Analysis
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning
An adaptive threshold framework for event detection using HMM-based life profiles
Graph Neural Collaborative Topic Model for Citation Recommendation
Exploiting hierarchical domain structure to compute similarity
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations
A Review on Question Generation from Natural Language Text
Temporal profiles of queries
Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning
Social-Sensed Image Search
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation
What Does Affect the Correlation Among Evaluation Measures?
Human Factors Challenges in Creating a Principal Support Office System - The Speech Filing System Approach
Transfer Learning to Infer Social Ties across Heterogeneous Networks
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation
Introduction to recommender systems: Algorithms and Evaluation
A Survey on Heterogeneous One-class Collaborative Filtering
Addressing Confounding Feature Issue for Causal Recommendation
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972-2020
Guest Editorial - Special Issue on Text Categorization
Causal Disentangled Recommendation against User Preference Shifts
Person-action Instance Search in Story Videos: An Experimental Study
Identifying Opportunities for Valuable Encounters: Toward Context-Aware Social Matching Systems
CrimeNet explorer: a framework for criminal network knowledge discovery
Details of Command-Language Keystrokes
Adversarial Distillation for Efficient Recommendation with External Knowledge
A Deep Learning Architecture for Psychometric Natural Language Processing
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching
Nonuniform Hyper-Network Embedding with Dual Mechanism
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation
A Survey on Recommender Systems Using Graph Neural Network
Multi-Agent Attacks for Black-Box Social Recommendations
A Diffusion Model for POI Recommendation
Item-based top- N recommendation algorithms
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2
Embedded Video in Hypermedia Documents: Supporting Integration and Adaptive Control
Multi-interest Diversification for End-to-end Sequential Recommendation
A Probabilistic Relational Algebra for the Integration of Information Retrieval and Database Systems
Disentangled Representations Learning for Multi-target Cross-domain Recommendation
Weighting Passages Enhances Accuracy
Cluster-Based Graph Collaborative Filtering
Reviewers for ACM Transactions on Information Systems Volume 37
Managing Transient Internetwork Links in the Xerox Internet
Trip Recommendation Meets Real-World Constraints: POI Availability, Diversity, and Traveling Time Uncertainty
Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Incorporating Structural Information into Legal Case Retrieval
The Role of Another Spatial Dimension in Software Visualization
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems
Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
TOIS reviewers June 2007 through May 2008
Collaborative Sequential Recommendations via Multi-view GNN-transformers
Modeling reformulation using query distributions
Truncated Models for Probabilistic Weighted Retrieval
Metrics and Algorithms for Routing Questions to User Communities
QuoteRec: Toward Quote Recommendation for Writing
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation
Dynamic User Modeling in Social Media Systems
TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants
On setting the hyper-parameters of term frequency normalization for information retrieval
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning
Adaptive hypermedia through contextualized open hypermedia structures
Burst tries: a fast, efficient data structure for string keys
Exploiting Representations from Statistical Machine Translation for Cross-Language Information Retrieval
Contexts - A Partitioning Concept for Hypertext
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities
On Modeling Information Retrieval with Probabilistic Inference
Domain Counterfactual Data Augmentation for Explainable Recommendation
Extractive Explanations for Interpretable Text Ranking
Integrating Collaboration and Leadership in Conversational Group Recommender Systems
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources
Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Efficient Index-Based Snippet Generation
A space-partitioning-based indexing method for multidimensional non-ordered discrete data spaces
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users
Work at Home for Computer Professionals: Current Attitudes and Future Prospects
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation
Integrating Diverse Knowledge Sources in Text Recognition
Uniform Graph Pre-training and Prompting for Transferable Recommendation
Capturing, Structuring, and Representing Ubiquitous Audio
Information systems interoperability: What lies beneath?
Authentication in Office System Internetworks
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation
Hierarchical Sliding Inference Generator for Question-driven Abstractive Answer Summarization
Dynamic Partitioning of Signature Files
Fine-grained Geolocation of Tweets in Temporal Proximity
How Does Domain Expertise Affect Users' Search Interaction and Outcome in Exploratory Search?
Graph Augmentation Empowered Contrastive Learning for Recommendation
A statechart-based model for hypermedia applications
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning
Evaluating the performance of distributed architectures for information retrieval using a variety of workloads
The Use of Eye Movements in Human-Computer Interaction Techniques: What You Look At is What You Get
Toward a Logical/Physical Theory of Spreadsheet Modeling
Interactive Specification of Flexible User Interface Displays
Light Dynamic Graph Learning on Temporal Networks
Knowledge-Guided Disentangled Representation Learning for Recommender Systems
On Elastic Language Models
Incorporating Cognitive Abilities into Web Search Re-ranking
eXtended cumulated gain measures for the evaluation of content-oriented XML retrieval
A few good topics: Experiments in topic set reduction for retrieval evaluation
Extraction of coherent relevant passages using hidden Markov models
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
Tuning the capacity of search engines: Load-driven routing and incremental caching to reduce and balance the load
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation
Temporal Relational Ranking for Stock Prediction
Encoding Syntactic Knowledge in Neural Networks for Sentiment Classification
Location-aware Influence Maximization over Dynamic Social Streams
Active Learning for Classification with Maximum Model Change
Search Result Prefetching on Desktop and Mobile
iVIBRATE: Interactive visualization-based framework for clustering large datasets
Seed-Guided Topic Model for Document Filtering and Classification
Query clustering using user logs
Self Data Augmentation for Open Domain Question Answering
A Document Retrieval Model Based on Digital Signal Filtering
SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2
Trustworthy 100-year digital objects: durable encoding for when it's too late to ask
Beneath the surface of organizational processes: a social representation framework for business process redesign
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs
Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs
Building a distributed full-text index for the web
ID-centric Pre-training for Recommendation
The Integration of Computing and Routine Work
From Question to Text: Question-Oriented Feature Attention for Answer Selection
Relevance Feedback with Brain Signals
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots
Challenges in Building Intelligent Open-domain Dialog Systems
Revisiting Conversation Discourse for Dialogue Disentanglement
Efficient On-Device Session-Based Recommendation
Identifying, Indexing, and Ranking Chemical Formulae and Chemical Names in Digital Documents
ASK is Transportable in Half a Dozen Ways
Articulating information needs in XML query languages
Reducing human interactions in Web directory searches
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals
PROXHY: A Process-Oriented Extensible Hypertext Architecture
Multi-level Attention-based Domain Disentanglement for BCDR
Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
A Transient Hypergraph-Based Model for Data Access
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Induced Sorting Suffixes in External Memory
Concept-Based Information Retrieval Using Explicit Semantic Analysis
On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments
Efficient Learning-Based Recommendation Algorithms for Top- N Tasks and Top- N Workers in Large-Scale Crowdsourcing Systems
Project Nick: Meetings Augmentation and Analysis
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation
Transportable Natural Language Processing through Simplicity - The PRE System
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
Set-based vector model: An efficient approach for correlation-based ranking
CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction
Special Section on Efficiency in Neural Information Retrieval
RLPS: A Reinforcement Learning-Based Framework for Personalized Search
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks
Relevance models to help estimate document and query parameters
Improving retrieval feedback with multiple term-ranking function combination
Creating and exploiting a comparable corpus in cross-language information retrieval