yusuke1997/dblp-id-title huggingface dataset:
Learning to Adaptively Rank Document Retrieval System Configurations
Distributed content-based visual information retrieval system on peer-to-peer networks
PONE: A Novel Automatic Evaluation Metric for Open-domain Generative Dialogue Systems
Examining Additivity and Weak Baselines
Projecting Demand for Electronic Communications in Automated Offices
Few-shot Aspect Category Sentiment Analysis via Meta-learning
Enhancing Multi-View Smoothness for Sequential Recommendation Models
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks
Sentence Relations for Extractive Summarization with Deep Neural Networks
Examining User Heterogeneity in Digital Experiments
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph
Transportability to Other Languages: The Natural Language Processing Project in the AI Program at MCC
Office Procedure as Practical Action: Models of Work and System Design
Dense Text Retrieval Based on Pretrained Language Models: A Survey
MMALFM: Explainable Recommendation by Leveraging Reviews and Images
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning
Improving Transformer-based Sequential Recommenders through Preference Editing
A Hybrid Framework for Session Context Modeling
Interface and Data Architecture for Query Preview in Networked Information Systems
Understanding Faceted Search from Data Science and Human Factor Perspectives
Learning to Recommend Descriptive Tags for Questions in Social Forums
Methods for Information Server Selection
Deep Dependency Substructure-Based Learning for Multidocument Summarization
Interactive Intent Modeling for Exploratory Search
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings
A Self-Distilled Learning to Rank Model for Ad Hoc Retrieval
Designing Database Interfaces with DBface
Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users
The Knowledge in Multiple Human Relevance Judgments
Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling
A General SIMD-Based Approach to Accelerating Compression Algorithms
Automated Learning of Decision Rules for Text Categorization
Iris: An Object-Oriented Database Management System
Compressing Integer Lists with Contextual Arithmetic Trits
Personalized, Sequential, Attentive, Metric-Aware Product Search
Explaining Recommendation Fairness from a User/Item Perspective
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems
Local versus global link information in the Web
Upper-bound approximations for dynamic pruning
Interpreting TF-IDF term weights as making relevance decisions
Design of the Mneme Persistent Object Store
Towards Efficient Coarse-grained Dialogue Response Selection
Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems
An Efficient and Robust Semantic Hashing Framework for Similar Text Search
Practical linear-time O (1)-workspace suffix sorting for constant alphabets
Word-based self-indexes for natural language text
About learning models with multiple query-dependent features
Bias in Computer Systems
An intelligent approach to handling imperfect information in concept-based natural language queries
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top- N Recommendation
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments
Introduction to genomic information retrieval
A New Name - ACM Transactions on Information Systems, Editorial
Next and Next New POI Recommendation via Latent Behavior Pattern Inference
Diplans: A New Language for the Study and Implementation of Coordination
Queries and Query Processing in Object-Oriented Database Systems
A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval
Probabilistic models for answer-ranking in multilingual question-answering
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data
Statistical lattice-based spoken document retrieval
Stochastic Query Covering for Fast Approximate Document Retrieval
Region proximity in metric spaces and its use for approximate similarity search
MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation
A Robust Framework for Content-based Retrieval by Spatial Similarity in Image Databases
Information as Basic for High-Precision Text Classification
Understanding the Office: A Social-Analytic Perspective
A semisupervised learning method to merge search engine results
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
Neural Architecture Search for GNN-Based Graph Classification
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation
Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue
The LambdaGap Framework for Precision-Oriented Ranking
A Multi-View-Based Collective Entity Linking Method
Multiple testing in statistical analysis of systems-based information retrieval experiments
Approximate spatio-temporal retrieval
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation
Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study
DBpedia-Based Entity Linking via Greedy Search and Adjusted Monte Carlo Random Walk
An Exploratory Evaluation of Three Interfaces for Browsing Large Hierarchical Tables of Contents
Telos: Representing Knowledge About Information Systems
LCARS: A Spatial Item Recommender System
A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation
Studying the clustering paradox and scalability of search in highly distributed environments
An Online Learning Framework for Refining Recency Search Results with User Click Feedback
Fast phrase querying with combined indexes
On the Study of Transformers for Query Suggestion
Transfer joint embedding for cross-domain named entity recognition
Formative Design-Evaluation of SuperBook
Special issue on searching speech
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
Offices Are Open Systems
Large-Alphabet Semi-Static Entropy Coding Via Asymmetric Numeral Systems
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network
Lexical Ambiguity and Information Retrieval
A Hypermedia Version Control Framework
A Prototype System for the Electronic Storage and Retrieval of Document Images
Trustworthy 100-year digital objects: Evidence after every witness is dead
SWIM: Stepped Weighted Shell Decomposition Influence Maximization for Large-Scale Networks
User Activity Patterns During Information Search
Multimedia Document Presentation, Information Extraction, and Document Formation in MINOS: A Model and a System
Better Understanding Procedural Search Tasks: Perceptions, Behaviors, and Challenges
Boosting Recommendation in Unexplored Categories by User Price Preference
The Effect of Accessing Nonmatching Documents on Relevance Feedback
Bias and Debias in Recommender System: A Survey and Future Directions
Query modeling for entity search based on terms, categories, and examples
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval
Parallelization of Massive Textstream Compression Based on Compressed Sensing
Ranking Models for the Temporal Dimension of Text
Fast construction of the HYB index
BAROQUE: A Browser for Relational Databases
Motion Recovery for Video Content Classification
A Measurement Framework for Evaluating Emulators for Digital Preservation
Incremental cluster-based retrieval using compressed cluster-skipping inverted files
Improving the Quality of Recommendations for Users and Items in the Tail of Distribution
Discovering personally meaningful places: An interactive clustering approach
Context-Sensitive Learning Methods for Text Categorization
User Modeling on Demographic Attributes in Big Mobile Social Networks
An Attention-based Deep Relevance Model for Few-shot Document Filtering
Wireless Intraoffice Networks
Personalized Prompt Learning for Explainable Recommendation
"What Can I Cook with these Ingredients?" - Understanding Cooking-Related Information Needs in Conversational Search
Modeling Word Occurrences for the Compression of Concordances
The maximum entropy approach and probabilistic IR models
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Rich and Lean Representations of Information for Knowledge Work: The Role of Computing Packages in the Work of Classical Scholars
Learning to Align Comments to News Topics
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval
Repeatable evaluation of search services in dynamic environments
Automatic classification of Web queries using very large unlabeled query logs
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations
Comparing the Archival Rate of Arabic, English, Danish, and Korean Language Web Pages
Sparse hashing for fast multimedia search
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform
Causality-Inspired Fair Representation Learning for Multimodal Recommendation
Brotli: A General-Purpose Data Compressor
Genre taxonomy: A knowledge repository of communicative actions
Efficient Multi-task Prompt Tuning for Recommendation
Exploiting query logs for cross-lingual query suggestions
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models
Imprecise Information and Uncertainty in Information Systems
A Data Model for Flexible Hypertext Database Systems
Local Variational Feature-Based Similarity Models for Recommending Top- N New Items
Hierarchical Gating Network for Cross-Domain Sequential Recommendation
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search
Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification
HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation
38 Offices: Analyzing Needs in Individual Offices
Stopping Methods for Technology-assisted Reviews Based on Point Processes
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation
YASS: Yet another suffix stripper
Indexing Word Sequences for Ranked Retrieval
Filter-based Stance Network for Rumor Verification
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation
Improving Text Classification Accuracy by Training Label Cleaning
Learning to crawl: Comparing classification schemes
Measuring praise and criticism: Inference of semantic orientation from association
Rank-biased precision for measurement of retrieval effectiveness
Evaluation of an Inference Network-Based Retrieval Model
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation
Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers
Direction-Aware User Recommendation Based on Asymmetric Network Embedding
Toward Best Practices for Training Multilingual Dense Retrieval Models
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers
Learning with click graph for query intent classification
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures
On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation
An Imperative Sentence Processor for Voice Interactive Office Applications
Yum-Me: A Personalized Nutrient-Based Meal Recommender System
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation
A Unified Prompt-aware Framework for Personalized Search and Explanation Generation
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach
The Envoy Framework: An Open Architecture for Agents
Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems
AutoML for Deep Recommender Systems: A Survey
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
QUADEN: Discovering Latent Neighbors for Sparse Users and Items across Interaction Quadrants in Recommender System
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Grounded Task Prioritization with Context-Aware Sequential Ranking
TCKT: Tree-Based Cross-domain Knowledge Transfer for Next POI Cold-Start Recommendation
Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging
Cache Design of SSD-Based Search Engine Architectures: An Experimental Study
Debiased Recommendation via Wasserstein Causal Balancing
Engineering basic algorithms of an in-memory text search engine
SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation
PicASHOW: pictorial authority search by hyperlinks on the web
BoRe: Adapting to Reader Consumption Behavior Instability for News Recommendation
A methodology for analyzing SAGE libraries for cancer profiling
Supporting Distributed Office Problem Solving in Organizations
SALSA: the stochastic approach for link-structure analysis
Summarizing figures, tables, and algorithms in scientific publications to augment search results
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework
Oracle in Image Search: A Content-Based Approach to Performance Prediction
Hyperspherical Variational Co-embedding for Attributed Networks
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
Vague Preference Policy Learning for Conversational Recommendation
Contrastive Modality-Disentangled Learning for Multimodal Recommendation
Evaluating implicit measures to improve web search
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
Unbiased Learning to Rank: Online or Offline?
Peer-to-Peer Information Retrieval: An Overview
Browsing Hierarchy Construction by Minimum Evolution
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval
Probabilistic Information Retrieval as a Combination of Abstraction, Inductive Learning, and Probabilistic Assumptions
Exploiting neighborhood knowledge for single document summarization and keyphrase extraction
Mining pure high-order word associations via information geometry for information retrieval
Query-independent evidence in home page finding
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1
A Context-Aware User-Item Representation Learning for Item Recommendation
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue
Semantic Data Modeling of Hypermedia Associations
A Rule-Based Message Filtering System
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval
Extending Object-Oriented Systems with Roles
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation
Explicit Diversification of Event Aspects for Temporal Summarization
Understanding Relevance Judgments in Legal Case Retrieval
Message Files
Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation
Cross-Domain NER under a Divide-and-Transfer Paradigm
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems
Knowledge-Based Search Tactics for an Intelligent Intermediary System
The Design Requirements of Office Systems
A Survey of Conversational Search
Mixture-of-Languages Routing for Multilingual Dialogues
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering
Rebalancing Discriminative Responses for Knowledge Tracing
Processing Long Queries Against Short Text: Top- k Advertisement Matching in News Stream Applications
A High-Level and Flexible Framework for Implementing Multiuser User Interfaces
The Effects of Task Complexity on the Use of Different Types of Information in a Search Assistance Tool
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
The In-Situ Effect of Offensive Ads on Search Engine Users
Learning to Use Word Processors: Problems and Prospects
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals
Are Neural Ranking Models Robust?
Introduction to the Special Issue on Social Science Perspectives on IS
Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach
Improving Semi-Supervised Text Classification with Dual Meta-Learning
Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding
SPEX: A Generic Framework for Enhancing Neural Social Recommendation
Semisupervised SVM batch mode active learning with applications to image retrieval
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation
combinFormation: Mixed-initiative composition of image and text surrogates promotes information discovery
Evaluating the Robustness of Click Models to Policy Distributional Shift
A novel XML music information retrieval method using graph invariants
Large-scale validation and analysis of interleaved search evaluation
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models
Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives
Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain
Personalized Query Expansion with Contextual Word Embeddings
Preparing heterogeneous XML for full-text search
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach
Virtual Reality for Palmtop Computers
Listwise Generative Retrieval Models via a Sequential Learning Process
On the User Behavior Leakage from Recommender System Exposure
Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
ITS and User Interface Consistency: A Response to Grudin
New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark
WebQuilt: A proxy-based approach to remote web usability testing
On the design of a learning crawler for topical resource discovery
Probabilistic models of information retrieval based on measuring the divergence from randomness
A Nested-Graph Model for the Representation and Manipulation of Complex Objects
An exploration of the principles underlying redundancy-based factoid question answering
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner
Variational Type Graph Autoencoder for Denoising on Event Recommendation
Social Influence Spectrum at Scale: Near-Optimal Solutions for Multiple Budgets at Once
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews
ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
Learning to Ask: Conversational Product Search via Representation Learning
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction
The use of dynamic context to improve casual internet searching
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition
Effective and Robust Query-Based Stemming
An Extension of Ukkonen's Enhanced Dynamic Programming ASM Algorithm
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems
Attentive Aspect Modeling for Review-Aware Recommendation
Robust Collaborative Filtering to Popularity Distribution Shift
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling
Logical Routing Specification in Office Information Systems
Mining near-duplicate graph for cluster-based reranking of web video search results
Meta methods for model sharing in personal information systems
QProber: A system for automatic classification of hidden-Web databases
Content-Based Video Copy Detection Benchmarking at TRECVID
A Data Modeling Approach for Office Information Systems
Cumulated gain-based evaluation of IR techniques
C-TODOS: An Automatic Tool for Office System Conceptual Design
Denoising Alignment with Large Language Model for Recommendation
Efficient Entity Translation Mining: A Parallelized Graph Alignment Approach
Integrating Representation and Interaction for Context-Aware Document Ranking
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation
Towards a belief-revision-based adaptive and context-sensitive information retrieval system
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker
Electronic Mail as a Coalition-Building Information Technology
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation
Toward automatic facet analysis and need negotiation: Lessons from mediated search
Fast and Flexible Top- k Similarity Search on Large Networks
Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations
The Effects of Working Memory, Perceptual Speed, and Inhibition in Aggregated Search
A Novel Benford's Law-Driven Approach for Detecting Machine-Generated Text
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation
Direct: A Query Facility for Multiple Databases
Structure-Aware Conversational Legal Case Retrieval
Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation
A Morphological Analysis of the Design Space of Input Devices
A basis for information retrieval in context
Understanding and Supporting Cross-Device Web Search for Exploratory Tasks with Mobile Touch Interactions
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling
Fast candidate generation for real-time tweet search with bloom filter chains
Achieving Human Parity on Visual Question Answering
Recommendation systems with complex constraints: A course recommendation perspective
The Effects of Aggregated Search Coherence on Search Behavior
Optimum Polynomial Retrieval Functions Based on the Probability Ranking Principle
TOIS Reviewers: October 2009 To September 2012
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization
Shortening the OED: Experience with a Grammar-Defined Database
Arnoldi versus GMRES for computing pageRank: A theoretical contribution to google's pageRank problem
Text Categorization for Multiple Users Based on Semantic Features from a Machine-Readable Dictionary
Inter-Organization Networks, Computer Integration, and Shifts in Interdependence: The Case of the Semiconductor Industry