yusuke1997/dblp-id-title huggingface dataset:
Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in Advertising
Proceedings of the Second International Conference on Web Search and Web Data Mining, WSDM 2009, Barcelona, Spain, February 9-11, 2009
Collaboration Patterns in Students' Teams Working on Business Cases
Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
Search and Discovery in Personal Email Collections
Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction
Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform
Document assignment in multi-site search engines
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective
Learning multiple-question decision trees for cold-start recommendation
Global Optimization for Display Ad
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Machine reading at web scale
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
Triangular Bidword Generation for Sponsored Search Auction
Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks
Modeling the impact of lifestyle on health at scale
Question Rewriting for Conversational Question Answering
Birdspotter: A Tool for Analyzing and Labeling Twitter Users
Detecting duplicate web documents using clickthrough data
AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior Modeling
Optimising topical query decomposition
A Counterfactual Modeling Framework for Churn Prediction
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation
Integrating Knowledge Graph Data with Large Language Models for Explainable Inference
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark
Let web spammers expose themselves
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
Large Language Model Simulator for Cold-Start Recommendation
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference
RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan
Unveiling AI-Driven Collective Action for a Worker-Centric Future
EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator
Practical Bandits: An Industry Perspective
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation
Expediting search trend detection via prediction of query counts
Scalable Algorithms in the Age of Big Data and Network Sciences: Characterization, Primitives, and Techniques
Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement
Understanding and Mitigating the Effect of Outliers in Fair Ranking
Scope-aware Re-ranking with Gated Attention in Feed
HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining
Privacy in the Time of Language Models
Search by multiple examples
Trend analysis model: trend consists of temporal words, topics, and timestamps
Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge
Characterizing the influence of domain expertise on web search behavior
Ranking mechanisms in twitter-like forums
Strength of social influence in trust networks in product review sites
Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition
Understanding and Predicting Graded Search Satisfaction
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Cross lingual text classification by mining multilingual topics from wikipedia
What blogs tell us about websites: a demographics study
Connectivity structure of bipartite graphs via the KNC-plot
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework
Modeling Navigation in Information Networks
Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial
CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning
Language models for keyword search over data graphs
MedTransTab: Advancing Medical Cross-Table Tabular Data Generation
Lessons Learnt from Building Friend Recommendation Systems
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization
On the Efficiency of the Information Networks in Social Media
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
2nd international workshop on diversity in document retrieval (DDR 2012)
Web information management: past, present and future
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Generative Models for Complex Logical Reasoning over Knowledge Graphs
Long-Term Value of Exploration: Measurements, Findings and Algorithms
TYPiMatch: type-specific unsupervised learning of keys and key values for heterogeneous web data integration
Lightweight Lexical and Semantic Evidence for Detecting Classes Among Wikipedia Articles
Ranking with query-dependent loss for web search
Neural Kalman Filtering for Robust Temporal Recommendation
RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match
Evaluating the visual quality of web pages using a computational aesthetic approach
SCAD: Subspace Clustering based Adversarial Detector
IDM-WSDM 2019: Workshop on Interactive Data Mining
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
Identifying the influential bloggers in a community
Domain bias in web search
Learning to Discover Domain-Specific Web Content
Diversified Subgraph Query Generation with Group Fairness
ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search
Shopping for products you don't know you need
Efficient Graph Convolution for Joint Node Representation Learning and Clustering
CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering
Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality
Playing by the rules: mining query associations to predict search performance
On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals
Link Prediction with Cardinality Constraint
Scalable topic-specific influence analysis on microblogs
Simplifying Graph-based Collaborative Filtering for Recommendation
Empathetic Response Generation with Relation-aware Commonsense Knowledge
Next-generation Challenges of Responsible Data Integration
Interactive Anomaly Detection on Attributed Networks
Integrity 2024: Integrity in Social Networks and Media
Collaborative ranking
Crawl ordering by search impact
Real-time Relevant Recommendation Suggestion
A General View for Network Embedding as Matrix Factorization
From machu_picchu to "rafting the urubamba river": anticipating information needs via the entity-query graph
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts
Large-Scale Deep Learning For Building Intelligent Computer Systems
Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer Retention
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding
Usefulness of quality click-through data for training
Deep Multi-Graph Clustering via Attentive Cross-Graph Association
Web-scale Multimedia Search for Internet Video Content
WSDM Cup 2017: Vandalism Detection and Triple Scoring
Active learning for networked data based on non-progressive diffusion model
Location Influence in Location-based Social Networks
Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature
Corroborating information from disagreeing views
Label Informed Attributed Network Embedding
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Extracting Search Query Patterns via the Pairwise Coupled Topic Model
An optimization framework for query recommendation
Proceedings of the International Conference on Web Search and Web Data Mining, WSDM 2008, Palo Alto, California, USA, February 11-12, 2008
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Smart Farm: A System for Proactive Management of Raw Milk Quality
Neural Ranking Models with Multiple Document Fields
Learning to Understand Audio and Multimodal Content
SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
MIS2: Misinformation and Misbehavior Mining on the Web
Beyond Who and What: Data Driven Approaches for User Characterization
Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval
Fair-SRS: A Fair Session-based Recommendation System
Personalization in Practice: Methods and Applications
Marginal-Certainty-Aware Fair Ranking Algorithm
ANNE: Improving Source Code Search using Entity Retrieval Approach
On clustering heterogeneous social media objects with outlier links
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
Learning Testing Model using Test Generators and Mobile Applications
The tube over time: characterizing popularity growth of youtube videos
Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments
Managing Risk of Bidding in Display Advertising
Multileave Gradient Descent for Fast Online Learning to Rank
From Uni-relational to Multi-relational Graph Neural Networks
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
A Tutorial on Stance Detection
Tutorial on Recommendation with Generative Models (Gen-RecSys)
Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
Overlapping community detection at scale: a nonnegative matrix factorization approach
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017
NGAME: Negative Mining-aware Mini-batching for Extreme Classification
DiffKG: Knowledge Graph Diffusion Model for Recommendation
Predicting content change on the web
Nonparametric bayesian upstream supervised multi-modal topic models
Preferential behavior in online groups
A new visual search interface for web browsing
Learning latent representations of nodes for classifying in heterogeneous social networks
A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval
Debiasing Word Embeddings from Sentiment Associations in Names
Telecommunication Traffic Forecasting via Multi-task Learning
Query Driven Algorithm Selection in Early Stage Retrieval
Modelling Student Behavior in Synchronous Online Learning during the COVID-19 Pandemic
Personalized entity recommendation: a heterogeneous information network approach
A holistic lexicon-based approach to opinion mining
Ensemble Models for Data-driven Prediction of Malware Infections
Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling
Topic Chronicle Forest for Topic Discovery and Tracking
Sponsored search auctions
Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search & Analytics
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
The Troll-Trust Model for Ranking in Signed Networks
Your Cart tells You: Inferring Demographic Attributes from Purchase Data
Enterprise Employee Training via Project Team Formation
Few-shot Node Classification with Extremely Weak Supervision
WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
Building Trustworthy AI Models for Medicine: From Theory to Applications
Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank
Linking Epidemic Models and Hawkes Point Processes for Modeling Information Diffusion
Data-Sharing Economy: Value-Addition from Data meets Privacy
Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization
Personalized Transfer of User Preferences for Cross-domain Recommendation
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
Towards Autonomous Driving
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining
Relationship Queries on Extended Knowledge Graphs
Entity linking at the tail: sparse signals, unknown entities, and phrase models
Inverse Learning with Extremely Sparse Feedback for Recommendation
Who uses web search for what: and how
Robust query rewriting using anchor data
Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images
Compliance Analyses of Australia's Online Household Appliances
Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Classification of Encrypted Word Embeddings using Recurrent Neural Networks
ESC-GAN: Extending Spatial Coverage of Physical Sensors
How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments
Centrality with Diversity
Feature Generation and Selection on the Heterogeneous Graph for Music Recommendation
Motifs in Temporal Networks
Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval
Precomputing search features for fast and accurate query classification
Multilingual and Multimodal Hate Speech Analysis in Twitter
Beyond DCG: user behavior as a predictor of a successful search
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling
DAME: Domain Adaptation for Matching Entities
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
Hierarchical Metadata-Aware Document Categorization under Weak Supervision
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
Real-Time Bidding: A New Frontier of Computational Advertising Research
Healthcare NER Models Using Language Model Pretraining
Towards Dynamic User Intention in Sequential Recommendation
Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders
Second Workshop on Search and Exploration of X-Rated Information (SEXI'16): WSDM Workshop Summary
Can A User Guess What Her Followers Want?
Neural Personalized Ranking for Image Recommendation
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration
HealAI: A Healthcare LLM for Effective Medical Documentation
POLE: Polarized Embedding for Signed Networks
Privacy-Preserving WSDM
Correcting for missing data in information cascades
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks
What I Learned from Spending a Dozen Years in the Dark Web
Can Pre-trained Language Models Understand Chinese Humor?
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior
Understanding and promoting micro-finance activities in Kiva.org
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Sentiment Analysis of Fashion Related Posts in Social Media
Fast Item Ranking under Neural Network based Measures
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Discovering and using groups to improve personalized search
Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering
HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain Knowledge
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Counterfactual Collaborative Reasoning
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Online social networks: modeling and mining: invited talk
Bias-Variance Decomposition for Ranking
Keeping Apace with Progress in Natural Language Processing
Impact of Online Job Search and Job Reviews on Job Decision
New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
Neural Graph Learning: Training Neural Networks Using Graphs
Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking
Multi-Dimensional Network Embedding with Hierarchical Structure
Comparative Document Analysis for Large Text Corpora
VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph
Who likes it more?: mining worth-recommending items from long tails by modeling relative preference
Generating Tips from Product Reviews
Adversarial Machine Learning in Recommender Systems (AML-RecSys)
SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks
Constructing and Embedding Abstract Event Causality Networks from Text Snippets
Exploration in Recommender Systems
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
Quotebank: A Corpus of Quotations from a Decade of News
Data-driven political science
An efficient framework for online advertising effectiveness measurement and comparison
Responsible AI for Trusted AI-powered Enterprise Platforms
Mining Topics towards ChatGPT Using a Disentangled Contextualized-neural Topic Model
Unbiased Knowledge Distillation for Recommendation
Influence Maximization in Online Social Networks
Streaming Link Prediction on Dynamic Attributed Networks
ENTYFI: Entity Typing in Fictional Texts
An Open-Source Suite of Causal AI Tools and Libraries
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Finding high-quality content in social media
GOP primary season on twitter: "popular" political sentiment in social media
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation
From chatter to headlines: harnessing the real-time web for personalized news recommendation
Care to Share?: Learning to Rank Personal Photos for Public Sharing
WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19
Efficient Reachability Query with Extreme Labeling Filter
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation
Improving Session Search by Modeling Multi-Granularity Historical Query Change
Generating Multi-Day Round Trip Itineraries for Tourists
An algorithmic treatment of strong queries
Motif-based Prompt Learning for Universal Cross-domain Recommendation
Pairwise cross-domain factor model for heterogeneous transfer ranking
Distinguishing humans from robots in web search logs: preliminary results using query rates and intervals
Unlocking Human Curiosity
On Generalizing Static Node Embedding to Dynamic Settings
Learning from User Interactions
Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network
Exploratory search with semantic transformations using collaborative knowledge bases
Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation
On the quest of discovering cultural trails in social media
CLNode: Curriculum Learning for Node Classification
Incremental Causal Discovery and Visualization
Using Conjunctions for Faster Disjunctive Top-k Queries
Knowledge-Augmented Methods for Natural Language Processing
AutoML for Deep Recommender Systems: Fundamentals and Advances
Initialization for Network Embedding: A Graph Partition Approach
Top- k aggregation using intersections of ranked inputs
Metrics, User Models, and Satisfaction
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015
Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender Systems
Normalizing web product attributes and discovering domain ontology with minimal effort
WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation
eBay: an E-commerce marketplace as a complex network
Fact-checking Multilingual Podcasts
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021)
On the Accuracy of Hyper-local Geotagging of Social Media Content
Quasi-succinct indices
Neural Structured Learning: Training Neural Networks with Structured Signals
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions
Sparsemax and Relaxed Wasserstein for Topic Sparsity
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising
Unsupervised graph-based topic labelling using dbpedia
Social Media Anomaly Detection: Challenges and Solutions
Incorporating revisiting behaviors into click models
Customer Understanding for Recommender Systems
Evolution of Ego-networks in Social Media with Link Recommendations
Demographics and Dynamics of Mechanical Turk Workers