yusuke1997/dblp-id-title huggingface dataset:
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
Enforcing k-anonymity in Web Mail Auditing
Learning to re-rank web search results with multiple pairwise features
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline
Robust Training of Graph Neural Networks via Noise Governance
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning
Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups
Learning and Maximizing Influence in Social Networks Under Capacity Constraints
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction
Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search
How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge
SoCraft: Advertiser-level Predictive Scoring for Creative Performance on Meta
Patterns of temporal variation in online media
DOCoR: Document-level OpenIE with Coreference Resolution
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling
WSDM 2023 Workshop on Interactive Recommender Systems
Tagging human knowledge
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
Disentangled Representation for Diversified Recommendations
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs
Investigating Examination Behavior in Mobile Search
Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing
Absence time and user engagement: evaluating ranking functions
Diversified Query Generation Guided by Knowledge Graph
Co-factorization machines: modeling user interests and predicting individual decisions in Twitter
TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models
Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM)
Parameter Tuning in Personal Search Systems
Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce
Boosting Advertising Space: Designing Ad Auctions for Augment Advertising
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011
Accelerating Pharmacovigilance using Large Language Models
VISIR: Visual and Semantic Image Label Refinement
Integration of large scale knowledge bases using probabilistic graphical models
Preference-Based Offline Evaluation
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
FinSense: An Assistant System for Financial Journalists and Investors
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings
Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items
Beyond-Accuracy Goals, Again
Geographic Segmentation via Latent Poisson Factor Model
Representation Learning with Pair-wise Constraints for Collaborative Ranking
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
CrossFire: Cross Media Joint Friend and Item Recommendations
Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters
FACE-KEG: Fact Checking Explained using KnowledgE Graphs
D 2 : Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
The 3rd International Workshop on Machine Learning on Graphs (MLoG)
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
TwiScraper: A Collaborative Project to Enhance Twitter Data Collection
Extreme Regression for Dynamic Search Advertising
Framework for Bias Detection in Machine Learning Models: A Fairness Approach
Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025
Disinformation and Misinformation in the Age of Generative AI
Improving Cloud Storage Search with User Activity
Arrival and departure dynamics in social networks
Jointly Optimized Neural Coreference Resolution with Mutual Attention
Search engine click spam detection based on bipartite graph propagation
Wikipedia pages as entry points for book search
Equality and Social Mobility in Twitter Discussion Groups
Mining Complaints to Improve a Product: a Study about Problem Phrase Extraction from User Reviews
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising
Multilingual probabilistic topic modeling and its applications in web mining and search
Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters
Correlating financial time series with micro-blogging activity
Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs
clstk: The Cross-Lingual Summarization Tool-Kit
Improving Knowledge Tracing with Collaborative Information
TopExNet: Entity-Centric Network Topic Exploration in News Streams
Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection
Some Thoughts on Computational Natural Language in the 21st Century
Harmony and dissonance: organizing the people's voices on political controversies
Mining user web search activity with layered bayesian networks or how to capture a click in its context
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning
Learning URL patterns for webpage de-duplication
The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce
User modeling in search logs via a nonparametric bayesian approach
Local Edge Dynamics and Opinion Polarization
Web of Conferences: A Conference Knowledge Graph
Real-time Streaming of Gait Assessment for Parkinson's Disease
A model for fast web mining prototyping
Graph Neural Network Research at AWS AI
Using query logs and click data to create improved document descriptions
Improving social bookmark search using personalised latent variable language models
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
Search and exploration of X-Rated information (SEXI 2013)
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems
Knowledge-aware Complementary Product Representation Learning
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference
Veridical Data Science
Predicting the readability of short web summaries
IWILDS'25: The 5th International Workshop on Investigating Learning During Web Search
A Simple Convolutional Generative Network for Next Item Recommendation
KMV-peer: a robust and adaptive peer-selection algorithm
Neural Tensor Factorization for Temporal Interaction Learning
The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises
A Discrete Choice Model for Subset Selection
UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation
The Pit Stop Problem: How to Plan Your Next Road Trip
Linking Mathematical Expressions to Wikipedia
Predicting MeSH Beyond MEDLINE
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Why People Search for Images using Web Search Engines
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding
Early online identification of attention gathering items in social media
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction
Online selection of diverse results
Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences
Unsupervised Attributed Network Embedding via Cross Fusion
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
Efficient and effective retrieval using selective pruning
Entities with Quantities: Extraction, Search, and Ranking
Temporal Graph Analysis with TGX
Modeling Event Importance for Ranking Daily News Events
Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014
On the Power of Massive Text Data
Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
WSDM Cup 2018: Music Recommendation and Churn Prediction
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
Detecting and Characterizing Eating-Disorder Communities on Social Media
A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network
Anatomy of the long tail: ordinary people with extraordinary tastes
Integrity 2021: Integrity in Social Networks and Media
Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation
Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning
GTA 3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics
A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting
Calibrating Mechanisms for Privacy Preserving Text Analysis
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors
Social collaborative retrieval
User Response Models to Improve a REINFORCE Recommender System
"Maya"- A Conversational Shopping Assistant for Fashion at Myntra
Kangaroo: Workload-Aware Processing of Range Data and Range Queries in Hadoop
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Three findings regarding privacy online
The web changes everything: understanding the dynamics of web content
Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments
Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling
Interpretable Click-Through Rate Prediction through Hierarchical Attention
Asynchronous Training of Word Embeddings for Large Text Corpora
On building entity recommender systems using user click log and freebase knowledge
Session-Based Social Recommendation via Dynamic Graph Attention Networks
Contextualizing Trending Entities in News Stories
Epidemic Graph Convolutional Network
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020
Connectivity in Complex Networks: Measures, Inference and Optimization
A State Transition Model for Mobile Notifications via Survival Analysis
SSLRec: A Self-Supervised Learning Framework for Recommendation
FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages
#TwitterSearch: a comparison of microblog search and web search
Modeling Website Popularity Competition in the Attention-Activity Marketplace
Dynamic Word Embeddings for Evolving Semantic Discovery
Clustered Monotone Transforms for Rating Factorization
WSCD2013: workshop on web search click data 2013
Intelligent Traffic Analytics: From Monitoring to Controlling
Patent partner recommendation in enterprise social networks
Document selection for tiered indexing in commerce search
Machine Learning for Healthcare: Beyond i.i.d. Prediction
Combating Heterogeneous Model Biases in Recommendations via Boosting
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Clustering the tagged web
Modeling Source Code to Support Retrieval-Based Applications
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion
Multi-dimensional search result diversification
Towards recency ranking in web search
Delving Deep into Personal Photo and Video Search
On Sampling Collaborative Filtering Datasets
sSketch: A Scalable Sketching Technique for PCA in the Cloud
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions
Translating Human Mobility Forecasting through Natural Language Generation
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks
Online Post-Processing in Rankings for Fair Utility Maximization
Dynamic relationship and event discovery
Towards Ordinal Suicide Ideation Detection on Social Media
Term-by-Term Query Auto-Completion for Mobile Search
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Behavioral data mining and network analysis in massive online games
Athlytics: Winning in Sports with Data
Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
Analyzing the Impact of Filter Bubbles on Social Network Polarization
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising
Information-theoretic measures of influence based on content dynamics
Distributed Balanced Partitioning via Linear Embedding
Query by document
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text
A Context-Aware Click Model for Web Search
The Incentives Platform at Lyft
Measuring the reusability of test collections
User Modeling for a Personal Assistant
Fast learning of document ranking functions with the committee perceptron
A Semantic Search Framework for Similar Audit Issue Recommendation in Financial Industry
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation
Camera brand congruence in the Flickr social graph
Temporal Pattern of Retweet(s) Help to Maximize Information Diffusion in Twitter
From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models
Temporal Blind Spots in Large Language Models
Mining the Web for Intelligent Problem Solving for Programmers
A Shopping Agent for Addressing Subjective Product Needs
Probabilistic Group Recommendation Model for Crowdfunding Domains
Mining Actionable Insights from Social Networksat WSDM 2017
An experimental comparison of click position-bias models
Adversarial Immunization for Certifiable Robustness on Graphs
Co-Embedding Attributed Networks
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation
A Cost Model for Long-Term Compressed Data Retention
Navigating the Hype and Embracing the Hope: The Future of Generative AI in Retail Product Discovery
Multidimensional mining of large-scale search logs: a topic-concept cube approach
Alexa Everywhere: AI for Daily Convenience
FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds
Local Collaborative Autoencoders
AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations
Project Success Prediction in Crowdfunding Environments
Challenges in building large-scale information retrieval systems: invited talk
MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition
Information to Wisdom: Commonsense Knowledge Extraction and Compilation
Anticipating Information Needs Based on Check-in Activity
First Workshop on Knowledge Base Construction, Mining and Reasoning
On the selection of tags for tag clouds
Raising Graphs From Randomness to Reveal Information Networks
Action prediction and identification from mining temporal user behaviors
Across-Time Comparative Summarization of News Articles
Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering
Effective co-betweenness centrality computation
The Influence of Image Search Intents on User Behavior and Satisfaction
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Self-supervision and Controlling Techniques to Improve Counter Speech Generation
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc
Harnessing the Power of Data Science through Research
Characterizing and harnessing peer-production of information in social tagging systems
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior
We feel fine and searching the emotional web
Exploring structure and content on the web: extraction and integration of the semi-structured web
An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
Personalised Outfit Recommendation via History-aware Transformers
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Generalizing Graph Neural Network across Graphs and Time
Reducing Click and Skip Errors in Search Result Ranking
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Reusing historical interaction data for faster online learning to rank for IR
Inductive Graph Few-shot Class Incremental Learning
Learning Opinion Dynamics from Data
A GNN-based Multi-task Learning Framework for Personalized Video Search
Recent Advances in Refinement Recommendations
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
Reinforcement Learning to Rank
Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches
a2RegInf: An Interactive System for Maximizing Influence within Arbitrary Number of Arbitrary Shaped Query Regions
An Edge-Based Decomposition Framework for Temporal Networks
Predicting Human Mobility via Attentive Convolutional Network
Towards Ethical and Personalized Web Navigation Agents: A Framework for User-Aligned Task Execution
Neural Survival Recommender
Relational click prediction for sponsored search
Optimizing top-k document retrieval strategies for block-max indexes
Going beyond Corr-LDA for detecting specific comments on news & blogs
Deep Bayesian Data Mining
On the Effectiveness of Unlearning in Session-Based Recommendation
Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder
Community Connect: A Mock Social Media Platform to Study Online Behavior
Event-Driven Query Expansion
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations
Exploiting contextual factors for click modeling in sponsored search
Automatic Ranking of Information Retrieval Systems
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Recurrent Recommender Networks
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting
E-commerce Product Recommendation by Personalized Promotion and Total Surplus Maximization
1st workshop on diffusion networks and cascade analytics
Temporal Linear Item-Item Model for Sequential Recommendation
All the Wiser: Fake News Intervention Using User Reading Preferences
Translating related words to videos and back through latent topics
Query Understanding for Search on All Devices at WSDM 2016
ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users
Hate Speech: Detection, Mitigation and Beyond
Structured Search in Annotated Document Collections
Incremental learning to rank with partially-labeled data
Characterizing and supporting cross-device search tasks
Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation
Predicting response in mobile advertising with hierarchical importance-aware factorization machine
Dynamic Collective Entity Representations for Entity Ranking
A few good predictions: selective node labeling in a social network
Beyond basic faceted search
Query Interpretations from Entity-Linked Segmentations
Considerations for Ethical Speech Recognition Datasets
Effective query formulation with multiple information sources
Data that matter: opportunities in crisis informatics research
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
User Recommendation in Content Curation Platforms
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining
Learning Dynamic Embeddings for Temporal Knowledge Graphs
ComGA: Community-Aware Attributed Graph Anomaly Detection
Cluster-Aware Heterogeneous Information Network Embedding
Driven by Food: Modeling Geographic Choice
Adapting Information Retrieval to User Signals via Stochastic Models
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities
Source Free Graph Unsupervised Domain Adaptation
WassRank: Listwise Document Ranking Using Optimal Transport Theory
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems
Percolator: Scalable Pattern Discovery in Dynamic Graphs
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases
SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs
Machine learning for query-document matching in search
Bridging Models for Popularity Prediction on Social Media
Unbiased Learning to Rank in Feeds Recommendation
WebShapes: Network Visualization with 3D Shapes
Random Spatial Network Models for Core-Periphery Structure
Attributed Graph Modeling with Vertex Replacement Grammars
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Using early view patterns to predict the popularity of youtube videos
Modeling Temporal Evidence from External Collections
Measuring the Latency of Depression Detection in Social Media
Multi-Resolution Attention for Personalized Item Search
Automatic Speaker Recognition with Limited Data
Inferring the impacts of social media on crowdfunding
WebChild: harvesting and organizing commonsense knowledge from the web
A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints
MonLAD: Money Laundering Agents Detection in Transaction Streams
A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction
Combining RNN with Transformer for Modeling Multi-Leg Trips
Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search
Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics
Is It Possible to Preserve Privacy in the Age of AI?
Concept Embedded Convolutional Semantic Model for Question Retrieval
1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production
CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments
Personalizing web search using long term browsing history