yusuke1997/dblp-id-title huggingface dataset:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic
Graph Minimally-supervised Learning
Some Useful Things to Know When Combining IR and NLP: The Easy, the Hard and the Ugly
Learning recommender systems with adaptive regularization
Denoising Implicit Feedback for Recommendation
Federated Online Learning to Rank with Evolution Strategies
On the prediction of popularity of trends and hits for user generated videos
Adaptive bootstrapping of recommender systems using decision trees
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns
Bing dialog model: intent, knowledge and user interaction
Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth
Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
Customer Purchase Behavior Prediction from Payment Datasets
Challenges in Data Production for AI with Human-in-the-Loop
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments
The Predictive Power of Massive Data about our Fine-Grained Behavior
Latent Cross: Making Use of Context in Recurrent Recommender Systems
Developing and Evaluating Graph Counterfactual Explanation with GRETEL
Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study
Spatial compactness meets topical consistency: jointly modeling links and content for community detection
Document Retrieval Model Through Semantic Linking
Fast Dictionary-Based Compression for Inverted Indexes
Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC)
Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph
Personalized PageRank Estimation and Search: A Bidirectional Approach
Knowledge Graph Enhanced Community Detection and Characterization
Optimized interleaving for online retrieval evaluation
Separate and Attend in Personal Email Search
AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models
Relation Preference Oriented High-order Sampling for Recommendation
No search result left behind: branching behavior with browser tabs
Joint Optimization of Cascade Ranking Models
Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia
Scalable Attribute Extraction at Instacart
Relevance Search over Schema-Rich Knowledge Graphs
4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data Labeling
On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems
Lessons from the journey: a query log analysis of within-session learning
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions
Enhanced email spam filtering through combining similarity graphs
The Power of Random Neighbors in Social Networks
Diversity and novelty in web search, recommender systems and data streams
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Chinese-English mixed text normalization
Attending to What Matters
Effective Graph Kernels for Evolving Functional Brain Networks
SBotMiner: large scale search bot detection
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons
Mitigating Factual Inconsistency and Hallucination in Large Language Models
A noise-aware click model for web search
Gathering and ranking photos of named entities with high precision, high recall, and diversity
Optimizing budget constrained spend in search advertising
LLMRec: Large Language Models with Graph Augmentation for Recommendation
Regressing Towards Simpler Prediction Systems
Scalable Graph Topology Learning via Spectral Densification
Detecting cohesive and 2-mode communities indirected and undirected networks
Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?
Probabilistic Social Sequential Model for Tour Recommendation
The Information Life of Social Networks
Is Wikipedia link structure different?
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
DeepIS: Susceptibility Estimation on Social Networks
Privacy-Aware Personalized Entity Representations for Improved User Understanding
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search
Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
Proceedings of the 2009 workshop on Web Search Click Data, WSCD@WSDM 2009, Barcelona, Spain, February 9, 2009
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
User Intent Inference for Web Search and Conversational Agents
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning
Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Test Students' Attention in Class using a Mobile Application
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society
Linear, or Non-Linear, That is the Question!
Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia
Cross-language query classification using web search for exogenous knowledge
Estimating ad group performance in sponsored search
Geo topic model: joint modeling of user's activity area and interests for location recommendation
You are who you know: inferring user profiles in online social networks
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling
Democracy is good for ranking: towards multi-view rank learning and adaptation in web search
Improving the sensitivity of online controlled experiments by utilizing pre-experiment data
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Social Incentive Optimization in Online Social Networks
AttentionFlow: Visualising Influence in Networks of Time Series
Quality Assurance of a German COVID-19 Question Answering Systems using Component-based Microbenchmarking
Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis
ETF: extended tensor factorization model for personalizing prediction of review helpfulness
Mining Knowledge Graphs From Text
Fair and balanced: learning to present news stories
Characterizing and Predicting Email Deferral Behavior
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
Adding semantics to microblog posts
Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices
Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management
Linear Recurrent Units for Sequential Recommendation
Mining, searching and exploiting collaboratively generated content on the web
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
A Practical Federated Learning Framework for Small Number of Stakeholders
Unified Visual Preference Learning for User Intent Understanding
Hierarchical Label Propagation and Discovery for Machine Generated Email
Building user profiles to improve user experience in recommender systems
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs
RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation
A combined topical/non-topical approach to identifying web sites for children
Toward User Engagement Optimization in 2D Presentation
Edge-Centric Network Analytics
Variational User Modeling with Slow and Fast Features
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Decision Boundary of Deep Neural Networks: Challenges and Opportunities
Early exit optimizations for additive machine learned ranking systems
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
Clustering product features for opinion mining
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
Fast and Space-Efficient Entity Linking for Queries
Workshop on Scholarly Web Mining (SWM 2017)
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms
SUM'20: State-based User Modelling
Survey and evaluation of query intent detection methods
Query Performance Prediction: Theory, Techniques and Applications
personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Modeling Time to Open of Emails with a Latent State for User Engagement Level
A Call to Arms: Embrace Assistive AI Systems!
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter
Mining the web to predict future events
Efficient misbehaving user detection in online video chat services
Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users
Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity
Modeling and Predicting Learning Behavior in MOOCs
REV2: Fraudulent User Prediction in Rating Platforms
Towards Trustworthy Large Language Models
Estimating content concreteness for finding comprehensible documents
Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations
Inferring search behaviors using partially observable markov model with duration (POMD)
Using graded-relevance metrics for evaluating community QA answer selection
Origin-Aware Next Destination Recommendation with Personalized Preference Attention
Indirect Supervision for Relation Extraction using Question-Answer Pairs
Of hammers and nails: an empirical comparison of three paradigms for processing large graphs
EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence
Graph Few-shot Class-incremental Learning
Bayesian Optimization for Optimizing Retrieval Systems
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning
DECAF: Deep Extreme Classification with Label Features
Sequence clustering and labeling for unsupervised query intent discovery
Boosting Search with Deep Understanding of Contents and Users
Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation
Improving Text Generation via Neural Discourse Planning
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features
Exploring Personal Knowledge Extraction from Conversations with CHARM
Dynamic ranked retrieval
Graph Collaborative Reasoning
Personalized click model through collaborative filtering
Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional Contexts
Trustworthy Algorithmic Ranking Systems
Mixed Attention Network for Cross-domain Sequential Recommendation
Collaboration over time: characterizing and modeling network evolution
NAIRS: A Neural Attentive Interpretable Recommendation System
Mining Frequent Patterns on Knowledge Graphs
GREASE: A Generative Model for Relevance Search over Knowledge Graphs
Range Restricted Route Recommendation Based on Spatial Keyword
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation
Efficient multiple-click models in web search
ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling
Listwise Approach for Rank Aggregation in Crowdsourcing
Toward Activity Discovery in the Personal Web
Pairwise Fairness in Ranking as a Dissatisfaction Measure
A Structural Graph Representation Learning Framework
Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives
Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention
Investigation of User Search Behavior While Facing Heterogeneous Search Services
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation
WSCD 2012: workshop on web search click data 2012
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
Optimizing two-dimensional search results presentation
Reconfiguration Problems on Submodular Functions
Search shortcuts using click-through data
Preserving Privacy in Analyses of Textual Data
Learning social network embeddings for predicting information diffusion
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals
Differential Privacy for Information Retrieval
Orienteering Algorithms for Generating Travel Itineraries
Incorporating Wide Context Information for Deep Knowledge Tracing using Attentional Bi-interaction
Understanding temporal aspects in document classification
The 5th International Workshop on Machine Learning on Graphs (MLoG)
Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests
Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014)
Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information
Lightweight Multilingual Entity Extraction and Linking
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Deconfounding with Networked Observational Data in a Dynamic Environment
Sharding social networks
Harvesting, searching, and ranking knowledge on the web: invited talk
Integrity 2023: Integrity in Social Networks and Media
Understanding temporal query dynamics
ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control
Query reformulation using anchor text
A novel click model and its applications to online advertising
An Interactive Dashboard for Traveler Mobility Analysis
Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
Data-Efficient Graph Learning Meets Ethical Challenges
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction
Toward Predicting the Outcome of an A/B Experiment for Search Relevance
Workshop on Privacy in NLP (PrivateNLP 2020)
Generating Explainable Product Comparisons for Online Shopping
Graph Mining with Graph Neural Networks
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce
WSDM Cup 2016: Entity Ranking Challenge
Selecting actions for resource-bounded information extraction using reinforcement learning
Sequential Variational Autoencoders for Collaborative Filtering
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
DisKeyword: Tweet Corpora Exploration for Keyword Selection
Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision
Ultra Fine-Grained Image Semantic Embedding
Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration
Overlapping clusters for distributed computation
Fake News: Fundamental Theories, Detection Strategies and Challenges
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG)
RecJPQ: Training Large-Catalogue Sequential Recommenders
Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization
Wiki3C: exploiting wikipedia for context-aware concept categorization
Daily deals: prediction, social diffusion, and reputational ramifications
Reducing Controversy by Connecting Opposing Views
Text-Video Retrieval via Multi-Modal Hypergraph Networks
Detecting Social Media Icebergs by Their Tips: Rumors, Persuasion Campaigns, and Information Needs
SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges
An Efficient and Effective Framework for Session-based Social Recommendation
Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain
Hyperbolic Embeddings for Preserving Privacy and Utility in Text
WebSets: extracting sets of entities from the web using unsupervised information extraction
fLDA: matrix factorization through latent dirichlet allocation
Overcoming browser cookie churn with clustering
Time Will Tell: Leveraging Temporal Expressions in IR
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Generative Slate Recommendation with Reinforcement Learning
Conversational Semantic Search: Looking Beyond Web Search, Q&A and Dialog Systems
TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment
Online multi-modal distance learning for scalable multimedia retrieval
How Do You Test a Test?: A Multifaceted Examination of Significance Tests
Querying and Tracking Influencers in Social Streams
Can Deep Learning Only Be Neural Networks?
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
S2TUL: A Semi-Supervised Framework for Trajectory-User Linking
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
The 2nd workshop on Vertical Search Relevance at WSDM 2015
Predicting Users' Gender and Age based on Mobile Tasks
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
Consistency-Aware Recommendation for User-Generated Item List Continuation
ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data
Offline Evaluation and Optimization for Interactive Systems
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph
Mining contrastive opinions on political texts using cross-perspective topic model
Supervised N-gram topic model
Efficient online ad serving in a display advertising exchange
Diverse User Preference Elicitation with Multi-Armed Bandits
Explainable CTR Prediction via LLM Reasoning
Crowd Worker Strategies in Relevance Judgment Tasks
Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data Interface
Topics, Tasks & Beyond: Learning Representations for Personalization
Bursty subgraphs in social networks
Pairwise ranking aggregation in a crowdsourced setting
Predicting Online Purchase Conversion for Retargeting
MAD: Multi-Scale Anomaly Detection in Link Streams
Keynote Speaker Bio
Network Science of Teams: Characterization, Prediction, and Optimization
Scalable Text Analysis
Understanding the Effect of Outlier Items in E-commerce Ranking
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web
Deep Memory Networks for Attitude Identification
Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning
Adaptive weighing designs for keyword value computation
Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), Jerusalem, Israel, March 12, 2021
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Bartering Books to Beers: A Recommender System for Exchange Platforms
On Stability, Clarity, and Co-occurrence of Self-Tagging
Pre-trained Recommender Systems: A Causal Debiasing Perspective
Distributed Graph Algorithmics: Theory and Practice
Scaling up Link Prediction with Ensembles
A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Theoretical Understandings of Product Embedding for E-commerce Machine Learning
Comparative Summarisation of Rich Media Collections
CoQEx: Entity Counts Explained
Booking.com WSDM WebTour 2021 Challenge
Materializing multi-relational databases from the web using taxonomic queries
Abstractive Opinion Tagging
Edge Classification on Graphs: New Directions in Topological Imbalance
Latent dirichlet allocation based diversified retrieval for e-commerce search
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
Using linked data to mine RDF from wikipedia's tables
Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks
Long Horizon Forecasting with Temporal Point Processes
Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach
FACH: Fast Algorithm for Detecting Cohesive Hierarchies of Communities in Large Networks
Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
Multi-Granular Text Classification with Minimal Supervision
Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining Techniques
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction
Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation
Genomic-World Fungi Data: Synteny Part
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Taxonomy discovery for personalized recommendation
When will it happen?: relationship prediction in heterogeneous information networks
Optimized top-k processing with global page scores on block-max indexes
A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores
User Intent, Behaviour, and Perceived Satisfaction in Product Search
Explanation as a Defense of Recommendation
Cost-Effective Active Learning for Bid Exploration in Online Advertising
ATAR : A spect-Based Temporal Analog Retrieval System for Document Archives
Calibrated Recommendations as a Minimum-Cost Flow Problem
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis
Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit Inventory
Heterogeneous Graph Contrastive Learning for Recommendation
Pairwise interaction tensor factorization for personalized tag recommendation
Integrity 2020: Integrity in Social Networks and Media
Disorder inequality: a combinatorial approach to nearest neighbor search
A Tutorial on Domain Generalization
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis
CL4DIV: A Contrastive Learning Framework for Search Result Diversification
Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
'It's on the tip of my tongue': A new Dataset for Known-Item Retrieval
Customized and Robust Deep Neural Network Watermarking
What's in a name?: an unsupervised approach to link users across communities
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions