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Table of Contents Welcome
from the Conference Chairs Foreword
from the Program Chairs WSDM 2010 Conference Organization |
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| Session 1: Web Search Leveraging
Temporal Dynamics of Document Content in Relevance Ranking (Page
1) Towards
Recency Ranking in Web Search (Page
11) Ranking
Mechanisms in Twitter-like Forums (Page
21) Learning
Concept Importance Using a Weighted Dependence Model (Page
31) Query
Reformulation Using Anchor Text (Page
41) Session 2: Tagging and Recommendation Tagging
Human Knowledge (Page
51) Precomputing
Search Features for Fast and Accurate Query Classification (Page
61) I
Tag, You Tag: Translating Tags for Advanced User Models (Page
71) Pairwise
Interaction Tensor Factorization for Personalized Tag Recommendation (Page
81) fLDA:
Matrix Factorization through Latent Dirichlet Allocation (Page
91) |
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| (Return to Top) | Session 3: Information Extraction Coupled
Semi-Supervised Learning for Information Extraction (Page
101) Adapting
Information Bottleneck Method for Automatic Construction of Domain-oriented
Sentiment Lexicon (Page
111) Data-oriented
Content Query System: Searching for Data into Text on the Web (Page
121) Corroborating
Information from Disagreeing Views (Page
131) |
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Session 4: Learning and Optimization Ranking
with Query-Dependent Loss for Web Search (Page
141) IntervalRank
- Isotonic Regression with Listwise and Pairwise Constraints (Page
151) An
Optimization Framework for Query Recommendation (Page
161) Improving
Quality of Training Data for Learning to Rank Using Click-Through Data (Page
171) A
Model to Estimate Intrinsic Document Relevance from the Clickthrough
Logs of a Web Search Engine (Page
181) |
| (Return to Top) | Session 5: Users and Measurement Large
Scale Query Log Analysis of Re-Finding (Page
191) Anatomy
of the Long Tail: Ordinary People with Extraordinary Tastes (Page
201) Inferring
Search Behaviors Using Partially Observable Markov (POM) Model (Page
211) Beyond
DCG: User Behavior as a Predictor of a Successful Search (Page
221) Measuring
the Reusability of Test Collections (Page
231) |
| (Return to Top) | Session 6: Social Learning
Influence Probabilities in Social Networks (Page
241) You
Are Who You Know: Inferring User Profiles in Online Social Networks (Page
251) TwitterRank:
Finding Topic-sensitive Influential Twitterers (Page
261) Folks
in Folksonomies: Social Link Prediction from Shared Metadata (Page
271) GeoFolk:
Latent Spatial Semantics in Web 2.0 Social Media (Page
281) |
| (Return to Top) | Session 7: Temporal Interaction Learning
Similarity Metrics for Event Identification in Social Media (Page
291) Early
Online Identification of Attention Gathering Items in Social Media (Page
301) Evolution
of Two-Sided Markets (Page
311) |
| (Return to Top) | Session 8: Ads A
Novel Click Model and Its Applications to Online Advertising (Page
321) Adaptive
Weighing Designs for Keyword Value Computation (Page
331) Automatic
Generation of Bid Phrases for Online Advertising (Page
341) Personalized
Click Prediction in Sponsored Search (Page
351) Improving
Ad Relevance in Sponsored Search (Page
361) |
| (Return to Top) | Session 9: Systems and Efficiency Revisiting
Globally Sorted Indexes for Efficient Document Retrieval (Page
371) Learning
URL Patterns for Webpage De-duplication (Page
381) On
Compressing the Textual Web (Page
391) A
Sketch-Based Distance Oracle for Web-Scale Graphs (Page
401) Early
Exit Optimizations for Additive Machine Learned Ranking Systems (Page
411) |
| (Return to Top) | Session 10: Web Mining SBotMiner:
Large Scale Search Bot Detection (Page
421) Gathering
and Ranking Photos of Named Entities with High Precision, High Recall,
and Diversity (Page
431) Boilerplate
Detection Using Shallow Text Features (Page
441)
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