![]() |
||||
Table of Contents Preface
from General Chairs Preface
by the Program Chairs WSDM 2015 Program Committee & Additional Reviewers WSDM 2015 Sponsors & Supporters |
||||
(Return to Top) |
Keynote Address 1 Making
Sense of Big Data with the Berkeley Data Analytics Stack (Page
1) |
|||
(Return to Top) |
Session 1: Practice & Experience Talk + Panel on Large Scale Data Understanding New
Directions in Recommender Systems (Page
3) Big
Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page
5) |
|||
(Return to Top) |
Session 2: Web Search Delayed-Dynamic-Selective
(DDS) Prediction for Reducing Extreme Tail Latency in Web Search (Page
7) MergeRUCB:
A Method for Large-Scale Online Ranker Evaluation (Page
17) Engagement
Periodicity in Search Engine Usage: Analysis and its Application to
Search Quality Evaluation (Page
27) Toward
Predicting the Outcome of an A/B Experiment for Search Relevance (Page
37) Optimal
Space-time Tradeoffs for Inverted Indexes (Page
47) Understanding
and Predicting Graded Search Satisfaction (Page
57) Robust
Tree-based Causal Inference for Complex Ad Effectiveness Analysis (Page
67) |
|||
(Return to Top) |
Session 3: Social Networks The
Power of Random Neighbors in Social Networks (Page
77) Negative
Link Prediction in Social Media (Page
87) Sarcasm
Detection on Twitter: A Behavioral Modeling Approach (Page
97) Modeling
and Predicting Retweeting Dynamics on Microblogging Platforms (Page
107) On
Integrating Network and Community Discovery (Page
117) On
the Accuracy of Hyper-local Geotagging of Social Media Content (Page
127) |
|||
(Return to Top) |
Keynote Address 2 The
Information Life of Social Networks (Page
273) |
|||
(Return to Top) |
Session 4: Web Mining Learning
to Recommend Related Entities to Search Users (Page
139) Will
This Paper Increase Your h-Index?
Scientific Impact Prediction (Page
149) Concept
Graph Learning from Educational Data (Page
159) Review
Synthesis for Micro-Review Summarization (Page
169) Fast
and Space-Efficient Entity Linking in Queries (Page
179) On
Tag Recommendation for Expertise Profiling: A Case Study in the Scientific
Domain (Page 189) FLAME:
A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative
Filtering (Page
199) |
|||
(Return to Top) |
Session 5: Practice & Experience Talks Semantic
Matching in APP Search (Page
209) Boosting
Search with Deep Understanding of Contents and Users (Page
211) |
|||
(Return to Top) |
Session 6: Crowdsourcing, Temporal and Location-based Mining Driven
by Food: Modeling Geographic Choice (Page
213) Hiring
Behavior Models for Online Labor Markets (Page
223) Just
in Time Recommendations - Modeling the Dynamics of Boredom in Activity
Streams (Page 233) Leveraging
In-Batch Annotation Bias for Crowdsourced Active Learning (Page
243) Listwise
Approach for Rank Aggregation in Crowdsourcing (Page
253) WorkerRank:
Using Employer Implicit Judgements to Infer Worker Reputation (Page
263) |
|||
(Return to Top) |
Keynote Address 3 Learning
from User Interactions (Page
137) |
|||
(Return to Top) |
Session 7: User Modeling, Mobility, and Recommendations User
Modeling for a Personal Assistant (Page
275) Predicting
the Next App that You Are Going to Use (Page
285) You
Are Where You Go: Inferring Demographic Attributes from Location Check-Ins (Page
295) SimApp:
A Framework for Detecting Similar Mobile Applications by Online Kernel
Learning (Page
305) Personalized
Mobile App Recommendation: Reconciling App Functionality and User Privacy
Preference (Page
315) Inferring
Movement Trajectories from GPS Snippets (Page
325) |
|||
(Return to Top) |
Session 8: Practice & Experience Talks Regressing
Towards Simpler Prediction Systems (Page
335) Global
Optimization for Display Ad (Page
337) |
|||
(Return to Top) |
Session 9: Web Mining (2) Back
to the Past: Supporting Interpretations of Forgotten Stories by Time-aware
Re-Contextualization (Page
339) Diluted
Treatment Effect Estimation for Trigger Analysis in Online Controlled
Experiments (Page
349) Inverting
a Steady-State (Page
359) Automatic
Gloss Finding for a Knowledge Base Using Ontological Constraints (Page
369) Finding
Subgraphs with Maximum Total Density and Limited Overlap (Page
379) Modeling
Website Popularity Competition in the Attention-Activity Marketplace (Page
389) Exploring
the Space of Topic Coherence Measures (Page
399) |
|||
(Return to Top) |
Dynamic
Information Retrieval Modeling (Page
409) Scalability
and Efficiency Challenges in Large-Scale Web Search Engines (Page
411) Offline
Evaluation and Optimization for Interactive Systems (Page
413) Real-Time
Bidding: A New Frontier of Computational Advertising Research (Page
415) Learning
About Health and Medicine from Internet Data (Page
417) Distributed
Graph Algorithmics: Theory and Practice (Page
419) |
|||
(Return to Top) |
DL-WSDM'15:
Workshop on Deep Learning for Web Search and Data Mining (Page
421) HIA'15:
Heterogeneous Information Access Workshop at WSDM 2015 (Page
423) WSDM'15
Workshop Summary / Scalable Data Analytics: Theory and Applications (Page
425) The
2nd Workshop on Vertical Search Relevance at WSDM 2015 (Page
427) |
|||
(Return to Top) |
An
Approach to the Problem of Annotation of Research Publications (Page
429) Incorporating
Phrase-Level Sentiment Analysis on Textual Reviews for Personalized
Recommendation (Page
435) Mining
Groups Stability in Ubiquitous and Social Environments: Communities,
Classes and Clusters (Page
441) Sentiment-Specific
Representation Learning for Document-Level Sentiment Analysis (Page
447) Chronological
Scientific Information Recommendation via Supervised Dynamic Topic Modeling (Page
453) Topics,
Tasks & Beyond: Learning Representations for Personalization (Page
459) | |||