wsdm 2016 论文列表Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016. |
Optimizing Search Interactions within Professional Social Networks.
Mining the Web for Intelligent Problem Solving for Programmers.
Temporal Formation and Evolution of Online Communities.
Feature Generation and Selection on the Heterogeneous Graph for Music Recommendation.
User Modeling in Large Social Networks.
Detecting Social Media Icebergs by Their Tips: Rumors, Persuasion Campaigns, and Information Needs.
E-commerce Product Recommendation by Personalized Promotion and Total Surplus Maximization.
Understanding Diffusion Processes: Inference and Theory.
Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search & Analytics.
Affective Computing of Image Emotion Perceptions.
Web-scale Multimedia Search for Internet Video Content.
Mining Complaints to Improve a Product: a Study about Problem Phrase Extraction from User Reviews.
Second Workshop on Search and Exploration of X-Rated Information (SEXI'16): WSDM Workshop Summary.
WSDM 2016 Workshop on the Ethics of Online Experimentation.
TargetAd2016: 2nd International Workshop on Ad Targeting at Scale.
Query Understanding for Search on All Devices at WSDM 2016.
Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial.
Understanding Offline Political Systems by Mining Online Political Data.
Wiggins: Detecting Valuable Information in Dynamic Networks Using Limited Resources.
Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank.
The Past and Future of Systems for Current Events.
Extracting Search Query Patterns via the Pairwise Coupled Topic Model.
EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion.
Semantic Documents Relatedness using Concept Graph Representation.
Long-tail Vocabulary Dictionary Extraction from the Web.
Improving Website Hyperlink Structure Using Server Logs.
Relationship Queries on Extended Knowledge Graphs.
Dynamic Collective Entity Representations for Entity Ranking.
WSDM Cup 2016: Entity Ranking Challenge.
Ensemble Models for Data-driven Prediction of Malware Infections.
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model.
Discriminative Learning of Infection Models.
Towards Modelling Language Innovation Acceptance in Online Social Networks.
Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements.
Learning Distributed Representations of Data in Community Question Answering for Question Retrieval.
Equality and Social Mobility in Twitter Discussion Groups.
Relational Learning with Social Status Analysis.
Centrality-Aware Link Recommendations.
Querying and Tracking Influencers in Social Streams.
Nonlinear Laplacian for Digraphs and its Applications to Network Analysis.
Information Evolution in Social Networks.
The Predictive Power of Massive Data about our Fine-Grained Behavior.
Serving a Billion Personalized News Feeds.
AMiner: Toward Understanding Big Scholar Data.
Multileave Gradient Descent for Fast Online Learning to Rank.
The Troll-Trust Model for Ranking in Signed Networks.
Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization.
Multi-view Machines.
Multi-Score Position Auctions.
Feedback Control of Real-Time Display Advertising.
Kangaroo: Workload-Aware Processing of Range Data and Range Queries in Hadoop.
Distributed Balanced Partitioning via Linear Embedding.
DiFacto: Distributed Factorization Machines.
Scaling up Link Prediction with Ensembles.
Geographic Segmentation via Latent Poisson Factor Model.
Improving IP Geolocation using Query Logs.
An Information-Theoretic Approach to Individual Sequential Data Sanitization.
Enforcing k-anonymity in Web Mail Auditing.
Hierarchical Label Propagation and Discovery for Machine Generated Email.
James B. Wendt Michael Bendersky Lluis Garcia Pueyo Vanja Josifovski Balint Miklos Ivo Krka Amitabh Saikia Jie Yang Marc-Allen Cartright Sujith Ravi
You've got Mail, and Here is What you Could do With It!: Analyzing and Predicting Actions on Email Messages.
Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach.
A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering.
On Obtaining Effort Based Judgements for Information Retrieval.
Quality Management in Crowdsourcing using Gold Judges Behavior.
Probabilistic Group Recommendation Model for Crowdfunding Domains.
Project Success Prediction in Crowdfunding Environments.
Crowdsourcing High Quality Labels with a Tight Budget.
Modeling Intransitivity in Matchup and Comparison Data.
Keynote Speaker Bio.
Evolution of Privacy Loss in Wikipedia.
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior.
Is Mail The Next Frontier In Search And Data Mining?
Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies.
Reducing Click and Skip Errors in Search Result Ranking.
Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
Personalized PageRank Estimation and Search: A Bidirectional Approach.
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems.
Term-by-Term Query Auto-Completion for Mobile Search.
To Suggest, or Not to Suggest for Queries with Diverse Intents: Optimizing Search Result Presentation.
Publication Date Prediction through Reverse Engineering of the Web.
Understanding User Attention and Engagement in Online News Reading.
Beyond Ranking: Optimizing Whole-Page Presentation.
Modeling and Predicting Learning Behavior in MOOCs.
On the Efficiency of the Information Networks in Social Media.
CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering.
Mobile App Tagging.
Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis.
Understanding and Identifying Advocates for Political Campaigns on Social Media.
Quantifying Controversy in Social Media.
How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model.
Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia.
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.
Large-Scale Deep Learning For Building Intelligent Computer Systems.