wsdm 2015 论文列表Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015. |
Topics, Tasks & Beyond: Learning Representations for Personalization.
Chronological Scientific Information Recommendation via Supervised Dynamic Topic Modeling.
Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis.
Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters.
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation.
An Approach to the Problem of Annotation of Research Publications.
The 2nd workshop on Vertical Search Relevance at WSDM 2015.
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications.
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015.
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining.
Distributed Graph Algorithmics: Theory and Practice.
Learning About Health and Medicine from Internet Data.
Real-Time Bidding: A New Frontier of Computational Advertising Research.
Offline Evaluation and Optimization for Interactive Systems.
Scalability and Efficiency Challenges in Large-Scale Web Search Engines.
Dynamic Information Retrieval Modeling.
Exploring the Space of Topic Coherence Measures.
Modeling Website Popularity Competition in the Attention-Activity Marketplace.
Finding Subgraphs with Maximum Total Density and Limited Overlap.
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints.
Inverting a Steady-State.
Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments.
Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization.
Global Optimization for Display Ad.
Regressing Towards Simpler Prediction Systems.
Inferring Movement Trajectories from GPS Snippets.
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning.
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins.
Predicting The Next App That You Are Going To Use.
User Modeling for a Personal Assistant.
The Information Life of Social Networks.
WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation.
Listwise Approach for Rank Aggregation in Crowdsourcing.
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning.
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams.
Hiring Behavior Models for Online Labor Markets.
Driven by Food: Modeling Geographic Choice.
Boosting Search with Deep Understanding of Contents and Users.
Semantic Matching in APP Search.
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering.
On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain.
Fast and Space-Efficient Entity Linking for Queries.
Review Synthesis for Micro-Review Summarization.
Concept Graph Learning from Educational Data.
Will This Paper Increase Your h-index?: Scientific Impact Prediction.
Learning to Recommend Related Entities to Search Users.
Learning from User Interactions.
On the Accuracy of Hyper-local Geotagging of Social Media Content.
On Integrating Network and Community Discovery.
Modeling and Predicting Retweeting Dynamics on Microblogging Platforms.
Sarcasm Detection on Twitter: A Behavioral Modeling Approach.
Negative Link Prediction in Social Media.
The Power of Random Neighbors in Social Networks.
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Understanding and Predicting Graded Search Satisfaction.
Optimal Space-time Tradeoffs for Inverted Indexes.
Toward Predicting the Outcome of an A/B Experiment for Search Relevance.
Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation.
MergeRUCB: A Method for Large-Scale Online Ranker Evaluation.
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search.
Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?
New Directions in Recommender Systems.
Making Sense of Big Data with the Berkeley Data Analytics Stack.