yusuke1997/dblp-id-title huggingface dataset:
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering
Spring-Electrical Models For Link Prediction
Federated Unlearning for On-Device Recommendation
Using Causal Inference to Solve Uncertainty Issues in Dataset Shift
Friend Story Ranking with Edge-Contextual Local Graph Convolutions
Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels
Recent Advances on Deep Learning based Knowledge Tracing
Visualizing Graph Differences from Social Media Streams
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
Keyword Assisted Embedded Topic Model
A probabilistic approach for learning folksonomies from structured data
Augmenting Keyword-based Search in Mobile Applications Using LLMs
User Behavior Modeling for Web Image Search
GAGE: Geometry Preserving Attributed Graph Embeddings
Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval
Proxy-based Item Representation for Attribute and Context-aware Recommendation
Temporally Factorized Network Modeling for Evolutionary Network Analysis
Topical clustering of search results
Diversifying search results
On Obtaining Effort Based Judgements for Information Retrieval
Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution
NeuralReconciler for Hierarchical Time Series Forecasting
LASER: a scalable response prediction platform for online advertising
Differentially Private Ensemble Classifiers for Data Streams
User Modeling in Large Social Networks
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Collaborative Filtering via Additive Ordinal Regression
Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking
Improving quality of training data for learning to rank using click-through data
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
Large scale query log analysis of re-finding
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?
Fast Coreset-based Diversity Maximization under Matroid Constraints
Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents
Inferring search behaviors using partially observable Markov (POM) model
Enumerating Fair Packages for Group Recommendations
Modeling Context Pair Interaction for Pairwise Tasks on Graphs
Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation
Quality Management in Crowdsourcing using Gold Judges Behavior
Designing the Cogno-Web Observatory: To Characterize the Dynamics of Online Social Cognition
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins
A self-adapting latency/power tradeoff model for replicated search engines
AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions
The last click: why users give up information network navigation
CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT
Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks
Overlapping and Robust Edge-Colored Clustering in Hypergraphs
Offline A/B Testing for Recommender Systems
Web-scale table census and classification
A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification
Comment spam detection by sequence mining
Multi-Product Utility Maximization for Economic Recommendation
Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms
Crosslingual Document Embedding as Reduced-Rank Ridge Regression
Effectively identifying users' research interests for scholarly reference management and discovery
Long-Term Effect Estimation with Surrogate Representation
AgAsk: A Conversational Search Agent for Answering Agricultural Questions
Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative Evaluation
Gated Attentive-Autoencoder for Content-Aware Recommendation
AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios
Graphs: Privacy and Generation through ML
Aspect and sentiment unification model for online review analysis
Finding Subgraphs with Maximum Total Density and Limited Overlap
Learning from Heterogeneous Networks: Methods and Applications
CAN: Feature Co-Action Network for Click-Through Rate Prediction
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network
Collective inference for network data with copula latent markov networks
On placing skips optimally in expectation
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic
Graph Neural Networks for the Global Economy with Microsoft DeepGraph
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
Privacy-preserving Data Mining in Industry
A Simple but Effective Bidirectional Framework for Relational Triple Extraction
Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans
Big graph mining for the web and social media: algorithms, anomaly detection, and applications
Low-order tensor decompositions for social tagging recommendation
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors
Integrating Local Context and Global Cohesiveness for Open Information Extraction
Learning from User Interactions in Personal Search via Attribute Parameterization
Nonlinear Laplacian for Digraphs and its Applications to Network Analysis
Everyone's an influencer: quantifying influence on twitter
Heterogeneous Graph-based Context-aware Document Ranking
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation
Athena: A Ranking Enabled Scholarly Search System
More Than Just Words: Modeling Non-Textual Characteristics of Podcasts
Sampling dilemma: towards effective data sampling for click prediction in sponsored search
Scalable Graph Neural Networks with Deep Graph Library
Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations
On the Impact of Predicate Complexity in Crowdsourced Classification Tasks
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion
Mining common topics from multiple asynchronous text streams
User Browsing Graph: Structure, Evolution and Application
Combinatorial Bandits under Strategic Manipulations
"I loan because...": understanding motivations for pro-social lending
Mining named entities with temporally correlated bursts from multilingual web news streams
A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data
Strategy in action: analyzing online search behavior bymining search strategies
Defense Against Model Extraction Attacks on Recommender Systems
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory
A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping
Exploiting Duality in Open Information Extraction with Predicate Prompt
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System
An Information-Theoretic Approach to Individual Sequential Data Sanitization
Maximizing Malicious Influence in Node Injection Attack
Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding
MMBench: The Match Making Benchmark
Unsupervised Ranking using Graph Structures and Node Attributes
Data design for personalization: current challenges and emerging opportunities
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation
Publication Date Prediction through Reverse Engineering of the Web
The Past and Future of Systems for Current Events
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013
Visualizing brand associations from web community photos
Untapping the Power of Indirect Relationships in Entity Summarization
Mobile App Tagging
Causal Mediation Analysis with Hidden Confounders
Beyond Ranking: Optimizing Whole-Page Presentation
How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model
Explore next destination prediction
Semantic-aware Query Processing for Activity Trajectories
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network
Learning website hierarchies for keyword enrichment in contextual advertising
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks
DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation
Intentional query suggestion: making user goals more explicit during search
Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation
BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture
Online Matrix Completion for Signed Link Prediction
Joint Recognition of Names and Publications in Academic Homepages
Data-oriented content query system: searching for data into text on the web
Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph
TargetAd2016: 2nd International Workshop on Ad Targeting at Scale
Spiral of Silence in Recommender Systems
Coupled semi-supervised learning for information extraction
Minimum Entropy Principle Guided Graph Neural Networks
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Successes and Opportunities in Enterprise AI
UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction
Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses
Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
Related Event Discovery
Centrality-Aware Link Recommendations
Graph Summarization via Node Grouping: A Spectral Algorithm
From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction
Structure and dynamics of information pathways in online media
Understanding and predicting personal navigation
Will This Paper Increase Your h -index?: Scientific Impact Prediction
Finding your friends and following them to where you are
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation
Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data
Time Interval Aware Self-Attention for Sequential Recommendation
SmartCityBus - A Platform for Smart Transportation Systems
Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling
Have you done anything like that?: predicting performance using inter-category reputation
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks
Dependency-aware Self-training for Entity Alignment
A Semantic Layer Querying Tool
Analysis of long queries in a large scale search log
RLMob: Deep Reinforcement Learning for Successive Mobility Prediction
Crowdsourcing for search and data mining
Improving the efficiency of multi-site web search engines
WoMG: A Library for Word-of-Mouth Cascades Generation
Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications
Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation
HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity Alignment
Top-K Off-Policy Correction for a REINFORCE Recommender System
Trustworthy Machine Learning: Fairness and Robustness
Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis
Group sparse topical coding: from code to topic
Multi-Score Position Auctions
Using Photon-Counting CT Images for Lung Nodule Classification
Ethical Challenges in AI
SoMin.ai: Personality-Driven Content Generation Platform
Wiggins: Detecting Valuable Information in Dynamic Networks Using Limited Resources
Hybrid Utility Function for Unexpected Recommendations
Long-tail Vocabulary Dictionary Extraction from the Web
All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs
iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering
A two-view learning approach for image tag ranking
Long-Document Cross-Lingual Summarization
Struggling or exploring?: disambiguating long search sessions
DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting
Measuring the similarity between implicit semantic relations using web search engines
A scalable pattern mining approach to web graph compression with communities
Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks
DiffGraph: Heterogeneous Graph Diffusion Model
Review Synthesis for Micro-Review Summarization
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension
Exploration and mining of web repositories
Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership
Recommender Systems: Research Direction
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
Improving search relevance for short queries in community question answering
Describing Data Processing Pipelines in Scientific Publications for Big Data Injection
Modeling Intransitivity in Matchup and Comparison Data
Cascade-based community detection
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
Ranking web sites with real user traffic
Multi-Intent Attribute-Aware Text Matching in Searching
Modeling dwell time to predict click-level satisfaction
Sequential Recommendation with User Memory Networks
Models and algorithms for social influence analysis
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
COTER: Conditional Optimal Transport meets Table Retrieval
Trust, but verify: predicting contribution quality for knowledge base construction and curation
Interpretable Imitation Learning with Dynamic Causal Relations
Quality-aware collaborative question answering: methods and evaluation
Anomaly, event, and fraud detection in large network datasets
Serving a Billion Personalized News Feeds
Entropy of search logs: how hard is search? with personalization? with backoff?
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning
Does Document Relevance Affect the Searcher's Perception of Time?
PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy Policies
Balanced label propagation for partitioning massive graphs
Time-Series Event Prediction with Evolutionary State Graph
Social Collaborative Viewpoint Regression with Explainable Recommendations
Learning Fair Node Representations with Graph Counterfactual Fairness
Listwise vs Pagewise: Towards Better Ranking Strategies for Heterogeneous Search Results
Learning a Joint Search and Recommendation Model from User-Item Interactions
Log-based personalization: the 4th web search click data (WSCD) workshop
Threading machine generated email
LiveFC: A System for Live Fact-Checking of Audio Streams
Micro Behaviors: A New Perspective in E-commerce Recommender Systems
Query suggestion by constructing term-transition graphs
Understanding and Identifying Advocates for Political Campaigns on Social Media
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification
Introduction to display advertising: a half-day tutorial
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
How is Attention Allocated?: Data-Driven Studies of Popularity and Engagement in Online Videos
Identifying Informational vs. Conversational Questions on Community Question Answering Archives
Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks
Streaming Gait Assessment for Parkinson's Disease
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations
A Scalable Open-Source System for Segmenting Urban Areas with Road Networks
CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
Representation Interpretation with Spatial Encoding and Multimodal Analytics
Sentiment analysis on evolving social streams: how self-report imbalances can help
Advances in Vector Search
S-HOT: Scalable High-Order Tucker Decomposition
Quality-biased ranking of web documents
Density-aware and Cluster-based Federated Anomaly Detection on Data Streams
Discovering Correlations between Sparse Features in Distant Supervision for Relation Extraction
Personal name classification in web queries
CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations
Heterophilic Graph Neural Networks Optimization with Causal Message-passing
Rank quantization
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning
Improving Website Hyperlink Structure Using Server Logs
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Self-supervised Graph Representation Learning for Black Market Account Detection
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs
Interact with the Explanations: Causal Debiased Explainable Recommendation System
Temporal Cross-Effects in Knowledge Tracing
Crawling deep web entity pages
LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval
Large-scale hierarchical text classification without labelled data
A Framework for Detecting Frauds from Extremely Few Labels
Enhancing Code Search Intent with Programming Context Exploration
Student Behavior Pattern Mining and Analysis: Towards Smart Campuses
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023
Long Short-Term Temporal Meta-learning in Online Recommendation
The Multi-vehicle Ride-Sharing Problem
LightGNN: Simple Graph Neural Network for Recommendation
Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System
How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks
MixRec: Heterogeneous Graph Collaborative Filtering
Transferring heterogeneous links across location-based social networks
Recurrent Recommendation with Local Coherence
Temporal Formation and Evolution of Online Communities
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling
The virtual lab
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015
Exploiting statistical and relational information on the web and in social media
Advertising keyword suggestion based on concept hierarchy
Learning to Distill Graph Neural Networks
Generating unambiguous URL clusters from web search
Knowledge Graph Embedding Based Question Answering
Learning query and document similarities from click-through bipartite graph with metadata
A Peep into the Future: Adversarial Future Encoding in Recommendation
User Profiling through Deep Multimodal Fusion
Proceedings of the 1st Workshop on Scholarly Web Mining, SWM@WSDM 2017, Cambridge, United Kingdom, February 10, 2017
Finding the right consumer: optimizing for conversion in display advertising campaigns
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms
Shifting Consumption towards Diverse Content on Music Streaming Platforms
Batch query processing for web search engines
Cognitive Biases in Crowdsourcing
Federated Deep Knowledge Tracing
Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis
Mining slang and urban opinion words and phrases from cQA services: an optimization approach
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning
Online Experimentation with Surrogate Metrics: Guidelines and a Case Study
Ranking in heterogeneous social media
EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion
SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
Exploiting Human Mobility Patterns for Point-of-Interest Recommendation
Understanding User Attention and Engagement in Online News Reading
Improving Negative Sampling for Word Representation using Self-embedded Features
Neural Based Statement Classification for Biased Language
Incorporating Fairness in Large Scale NLU Systems
Unified Pretraining for Recommendation via Task Hypergraphs
Sequential Diversification with Provable Guarantees
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web
Position Bias Estimation for Unbiased Learning to Rank in Personal Search
DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching
Revisiting globally sorted indexes for efficient document retrieval
Identifying topical authorities in microblogs
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
Learning to rank with multi-aspect relevance for vertical search
Synthesis of Forgiving Data Extractors
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Neural Models for Full Text Search
Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
News recommendation via hypergraph learning: encapsulation of user behavior and news content
Personalized Information Retrieval for Touristic Attractions in Augmented Reality
Characterizing and curating conversation threads: expansion, focus, volume, re-entry
Fusing Diversity in Recommendations in Heterogeneous Information Networks
SIRUP: Search-based Book Recommendation Playground
Investment Recommendation System for Low-Liquidity Online Peer to Peer Lending (P2PL) Marketplaces
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
Spatially-aware indexing for image object retrieval
A Stochastic Treatment of Learning to Rank Scoring Functions
Why the World Reads Wikipedia: Beyond English Speakers
Real-time E-bike Route Planning with Battery Range Prediction