wsdm 2009 论文列表Proceedings of the Second International Conference on Web Search and Web Data Mining, WSDM 2009, Barcelona, Spain, February 9-11, 2009. |
Tagging with Queries: How and Why?
On Stability, Clarity, and Co-occurrence of Self-Tagging.
Contrasting Controlled Vocabulary and Tagging: Experts Choose the Right Names to Label the Wrong Things.
Time Will Tell: Leveraging Temporal Expressions in IR.
Remembering what we like: Toward an agent-based model of Web traffic.
User Browsing Graph: Structure, Evolution and Application.
The web changes everything: understanding the dynamics of web content.
Speeding up algorithms on compressed web graphs.
Finding text reuse on the web.
Camera brand congruence in the Flickr social graph.
Less is more: sampling the neighborhood graph makes SALSA better and faster.
Is Wikipedia link structure different?
Top-k aggregation using intersections of ranked inputs.
Effective latent space graph-based re-ranking model with global consistency.
Predicting the readability of short web summaries.
Mining common topics from multiple asynchronous text streams.
Integration of news content into web results.
Generating labels from clicks.
Mining user web search activity with layered bayesian networks or how to capture a click in its context.
A new visual search interface for web browsing.
Quality-aware collaborative question answering: methods and evaluation.
Characterizing the influence of domain expertise on web search behavior.
Efficient multiple-click models in web search.
A model for fast web mining prototyping.
Measuring the similarity between implicit semantic relations using web search engines.
Information arbitrage across multi-lingual Wikipedia.
Improving music genre classification using collaborative tagging data.
Cross-language query classification using web search for exogenous knowledge.
Classifying tags using open content resources.
Clustering the tagged web.
Wikipedia pages as entry points for book search.
Query by document.
Adaptive subjective triggers for opinionated document retrieval.
Discovering and using groups to improve personalized search.
Diversifying search results.
Harvesting, searching, and ranking knowledge on the web: invited talk.
Online social networks: modeling and mining: invited talk.
Challenges in building large-scale information retrieval systems: invited talk.