yusuke1997/dblp-id-title huggingface dataset:
Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs
Disentangled Negative Sampling for Collaborative Filtering
Topical semantics of twitter links
A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions
Detecting non-gaussian geographical topics in tagged photo collections
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users
User modeling for web applications
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Ranking from pairs and triplets: information quality, evaluation methods and query complexity
RePBubLik: Reducing Polarized Bubble Radius with Link Insertions
Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory
Adaptive subjective triggers for opinionated document retrieval
Maximizing product adoption in social networks
Triangle Graph Interest Network for Click-through Rate Prediction
Computational advertising: leveraging user interaction & contextual factors for improved ad relevance & targeting
Hybrid Model with Time Modeling for Sequential Recommender Systems
Illustrate Your Story: Enriching Text with Images
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter
Towards Universal Cross-Domain Recommendation
Tagging with Queries: How and Why?
Overview of the Health Search and Data Mining (HSDM 2020) Workshop
Putting Data in the Driver's Seat: Optimizing Earnings for On-Demand Ride-Hailing
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering
Towards Long-term Fairness in Recommendation
A large-scale sentiment analysis for Yahoo! answers
How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments
Learning similarity metrics for event identification in social media
Metropolitan-scale Mobility Digital Twin
On the streaming complexity of computing local clustering coefficients
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation
Tapping into knowledge base for concept feedback: leveraging conceptnet to improve search results for difficult queries
Privacy Monitoring Service for Conversations
Sampling Methods for Counting Temporal Motifs
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024)
Improving ad relevance in sponsored search
Exploiting homophily effect for trust prediction
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce
Tips, dones and todos: uncovering user profiles in foursquare
Unbiased Learning to Rank: On Recent Advances and Practical Applications
Boilerplate detection using shallow text features
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts
You've got Mail, and Here is What you Could do With It!: Analyzing and Predicting Actions on Email Messages
Exploiting social relations for sentiment analysis in microblogging
A straw shows which way the wind blows: ranking potentially popular items from early votes
LEAD: Liberal Feature-based Distillation for Dense Retrieval
Learning to rank for spatiotemporal search
Relative confidence sampling for efficient on-line ranker evaluation
Distinguishing topical and social groups based on common identity and bond theory
Towards Unbiased and Robust Causal Ranking for Recommender Systems
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems
Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
mTrust: discerning multi-faceted trust in a connected world
Fair Graph Representation Learning with Imbalanced and Biased Data
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
Unsubscription: A Simple Way to Ease Overload in Email
Popularity-Opportunity Bias in Collaborative Filtering
Friendly Conditional Text Generator
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering
Utilizing Knowledge Graphs in Text-centricInformation Retrieval
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
Introduction to Responsible AI
Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements
Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution
Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information
Assessing Algorithmic Biases for Musical Version Identification
Chronological Scientific Information Recommendation via Supervised Dynamic Topic Modeling
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations
Summarizing Answers in Non-Factoid Community Question-Answering
Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020
LearnIR: WSDM 2018 Workshop on Learning from User Interactions
Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data
Effective latent space graph-based re-ranking model with global consistency
TSA: A Truthful Mechanism for Social Advertising
Comparative Web Search Questions
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking
Contrasting Controlled Vocabulary and Tagging: Experts Choose the Right Names to Label the Wrong Things
Retrieving Black-box Optimal Images from External Databases
IntervalRank: isotonic regression with listwise and pairwise constraints
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Predicting The Next App That You Are Going To Use
HaGAR: Hardness-aware Generative Adversarial Recommender
Discriminative Learning of Infection Models
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Result enrichment in commerce search using browse trails
Improving music genre classification using collaborative tagging data
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Inductive Graph Transformer for Delivery Time Estimation
Efficient entity resolution for large heterogeneous information spaces
Multi-view Machines
Budgeted Embedding Table For Recommender Systems
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Graph Embedding with Hierarchical Attentive Membership
Knowledge-Adaptive Contrastive Learning for Recommendation
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic
Partner tiering in display advertising
WSDM 2021 Tutorial on Conversational Recommendation Systems
Advanced graph mining for community evaluation in social networks and the web
Understanding Offline Political Systems by Mining Online Political Data
Evaluating Mixed-initiative Conversational Search Systems via User Simulation
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
Modeling Multi-Destination Trips with Sketch-Based Model
"Just To See You Smile": SMILEY, a Voice-Guided GUY GAN
Preserving Heritage: Developing a Translation Tool for Indigenous Dialects
Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013)
Scalable knowledge harvesting with high precision and high recall
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams
A Black-Box Attack Model for Visually-Aware Recommender Systems
Entity linking and retrieval for semantic search
Neural Text Embeddings for Information Retrieval
Semantic Matching in APP Search
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding
Customized tour recommendations in urban areas
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Quantifying and Bursting the Online Filter Bubble
(big) usage data in web search
Adapting deep RankNet for personalized search
Beyond ten blue links: enabling user click modeling in federated web search
Big data, lifelong machine learning and transfer learning
Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities
Primum Non Nocere: Healthcare In The Digital Age
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning
Future Timelines: Extraction and Visualization of Future-related Content From News Articles
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Learning User Representations with Hypercuboids for Recommender Systems
Strategic ML: How to Learn With Data That 'Behaves'
Scaling Use-case Based Shopping using LLMs
Weighted Averaging of Various LSTM Models for Next Destination Recommendation
IR system evaluation using nugget-based test collections
Connecting comments and tags: improved modeling of social tagging systems
Bilateral Variational Autoencoder for Collaborative Filtering
WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017
Sketch 'Em All: Fast Approximate Similarity Search for Dynamic Data Streams
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network
Collective extraction from heterogeneous web lists
Multilinear Factorization Machines for Multi-Task Multi-View Learning
Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks
Discovering common motifs in cursor movement data for improving web search
Information arbitrage across multi-lingual Wikipedia
Fairness-Aware Recommendation in Multi-Sided Platforms
I tag, you tag: translating tags for advanced user models
Tourist recommendations with a touch of SPICE: A TRS with Deep Cultural Understanding
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
Modelling growth of urban crowd-sourced information
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
FENNEL: streaming graph partitioning for massive scale graphs
Improving Personalized Search with Dual-Feedback Network
Temporal Meta-path Guided Explainable Recommendation
Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation
Modeling opinion dynamics in social networks
Multi-relational matrix factorization using bayesian personalized ranking for social network data
Extracting search-focused key n-grams for relevance ranking in web search
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems
Active Ensemble Learning for Knowledge Graph Error Detection
Addressing Marketing Bias in Product Recommendations
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
Statistical Spoken Dialogue Systems and the Challenges for Machine Learning
Applications of LLMs in E-Commerce Search and Product Knowledge Graph: The DoorDash Case Study
Cooperative Explanations of Graph Neural Networks
Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
Query suggestions using query-flow graphs
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification
Object matching in tweets with spatial models
Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models
Retweet or not?: personalized tweet re-ranking
Predicting Audio Advertisement Quality
DiFacto: Distributed Factorization Machines
Characterizing web content, user interests, and search behavior by reading level and topic
Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments
Learning similarity function for rare queries
Gaussian Graphical Model-Based Clustering of Time Series Data
Collaborative information seeking: understanding users, systems, and content
Ad-load Balancing via Off-policy Learning in a Content Marketplace
Collabot: Personalized Group Chat Summarization
Text Recognition Using Anonymous CAPTCHA Answers
Inferring social ties across heterogenous networks
Attention-based neural re-ranking approach for next city in trip recommendations
Peeling Bipartite Networks for Dense Subgraph Discovery
Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited
Efficient indexing of repeated n-grams
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Learning to Recommend Related Entities to Search Users
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs
The Local Closure Coefficient: A New Perspective On Network Clustering
Community Trend Prediction on Heterogeneous Graph in E-commerce
Query suggestion for E-commerce sites
Tailoring click models to user goals
Causal Inference and Counterfactual Reasoning (3hr Tutorial)
Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks
Robust Graph Learning for Misbehavior Detection
Learning with Small Data
The Rise of Data Observability: Architecting the Future of Data Trust
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Leveraging temporal dynamics of document content in relevance ranking
Fast approximation of betweenness centrality through sampling
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model
LaFT-tree: perceiving the expansion trace of one's circle of friends in online social networks
Temporal Context-Aware Representation Learning for Question Routing
How user behavior is related to social affinity
To Suggest, or Not to Suggest for Queries with Diverse Intents: Optimizing Search Result Presentation
Negative Link Prediction in Social Media
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling
Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification
Crowdsourcing 101: putting the WSDM of crowds to work for you
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace
OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
Can social bookmarking improve web search?
Web Search via an Efficient and Effective Brain-Machine Interface
Towards Faithful and Consistent Explanations for Graph Neural Networks
Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Deep Recommender Systems Utilizing Side Information
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation
Optimal Space-time Tradeoffs for Inverted Indexes
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
Click Through Rate Prediction for Local Search Results
Exploring the Space of Topic Coherence Measures
Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches
Efficient Graph Learning for Anomaly Detection Systems
Scaling Up LLM Reviews for Google Ads Content Moderation
Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising
Concept-Oriented Transformers for Visual Sentiment Analysis
Bid generation for advanced match in sponsored search
Proactive Conversational Agents
Learning Transferable Node Representations for Attribute Extraction from Web Documents
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
Inverting a Steady-State
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
Interpretable Ranking with Generalized Additive Models
Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means
An Unsupervised Detection Framework for Chinese Jargons in the Darknet
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016
Hawkes Point Process-enhanced Dynamic Graph Neural Network
Few-shot Link Prediction in Dynamic Networks
3rd workshop on context-awareness in retrieval and recommendation
Domain Adaptation for Commitment Detection in Email
Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale
Learning concept importance using a weighted dependence model
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
Knowledge-based graph document modeling
VisCrime: A Crime Visualisation System for Crime Trajectory from Multi-Dimensional Sources
On Integrating Network and Community Discovery
WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians
On the Complexity of Opinions and Online Discussions
Beyond News Contents: The Role of Social Context for Fake News Detection
To each his own: personalized content selection based on text comprehensibility
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs
Model-based Unbiased Learning to Rank
Ad Close Mitigation for Improved User Experience in Native Advertisements
Explainable Recommendation with Comparative Constraints on Product Aspects
Conversations, Machine Learning and Privacy: LinkedIn's Path Towards Transforming Interaction with Its Members
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources
The Power of Pivoting for Exact Clique Counting
Prediction in a microblog hybrid network using bonacich potential
Foundation Models for Aerial Robotics
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering
Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Psychology-informed Information Access Systems Workshop
Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018
Identifying task-based sessions in search engine query logs
Obtaining Robust Models from Imbalanced Data
Auralist: introducing serendipity into music recommendation
Is a picture really worth a thousand words?: - on the role of images in e-commerce
Training MLPs on Graphs without Supervision
Mining billion-node graphs: patterns, generators and tools
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction
The Initial Screening Order Problem
Hierarchical User Profiling for E-commerce Recommender Systems
Node Similarity Preserving Graph Convolutional Networks
External Evaluation of Ranking Models under Extreme Position-Bias
GNNs for Node Clustering in Signed and Directed Networks
CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise
Modeling dynamic behavior in large evolving graphs
Sigmoid Similarity in Semantic HCP Networks: An Approach for Context Aware Search and Recommendations
OOLAM: an opinion oriented link analysis model for influence persona discovery
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas
Privacy-Preserving Textual Analysis via Calibrated Perturbations
Learning Sensitive Combinations of A/B Test Metrics
Global Counterfactual Explainer for Graph Neural Networks
A sketch-based distance oracle for web-scale graphs
Optimizing parallel algorithms for all pairs similarity search
Identifying users' topical tasks in web search
The life and death of online groups: predicting group growth and longevity
NCDawareRank: a novel ranking method that exploits the decomposable structure of the web
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs
Towards Modelling Language Innovation Acceptance in Online Social Networks
Knowledge Graph Context-Enhanced Diversified Recommendation
Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions
Generating Illustrative Snippets for Open Data on the Web
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation
AMiner: Toward Understanding Big Scholar Data
The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)
A Bird's-eye View of Reranking: From List Level to Page Level
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference
German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value Pairs
Product Knowledge Graph Embedding for E-commerce
Revisiting Code Search in a Two-Stage Paradigm
Optimizing Search Interactions within Professional Social Networks
Web-scale classification: web classification in the big data era