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WSDM 2009 : Second ACM International Conference on Web Search and Data Mining

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Conference Series : Web Search and Data Mining
 
Link: http://www.wsdm2009.org/
 
When Feb 9, 2009 - Feb 11, 2009
Where Barcelona, Cataluña, Spain
Abstract Registration Due Aug 4, 2008
Submission Deadline Aug 11, 2008
Notification Due Oct 20, 2008
Categories    web mining   user profiling   recommendation systems
 

Call For Papers

WSDM (pronounced "wisdom") is a young ACM conference intended to be the publication venue for research in the areas of search and data mining. Indeed, the pace of innovation in these areas prevents proper coverage by conferences of broader scope. The high attendance at the first WSDM, held at Stanford University in February of 2008, is a confirmation of this trend. In 2009, WSDM will be co-located with WAW 2009, the Sixth Workshop on Algorithms and Models for the Web-Graph, that will be held immediately after on February 12 -13, 2009. WSDM invites original, high quality submissions related to search and data mining on the Web, with an emphasis on practical but principled novel models of search and retrieval, algorithm design and analysis, economics implications, and in-depth experimental analysis of accuracy and performance. More details are at http://wsdm2009.org/.

Topics of interests include but are not limited to the following:

* Crawling the Web and monitoring change
* Text indexing, index caching, query processing
* Search engine architecture
* Novel query languages
* Security and privacy in Web search and mining
* Distributed, meta, and peer-to-peer search
* Vertical portals and search
* Ranking and machine learning for ranking
* Personalized search and ranking
* User profiling and recommendation systems
* Multifaceted and task-driven search
* User activity modeling and exploitation
* Sponsored search and content match algorithmics
* Multimedia Web search
* User interfaces for search interaction
* Search quality benchmarking and evaluation
* Social media analysis: blogs and friendship networks
* Summarization, clustering, classification of Web data
* Wrapper induction
* Data integration and data cleaning
* Information extraction, slot-filling
* Entity and relationship extraction
* Sense and entity disambiguation
* Discovery-driven Web and social network mining
* Web measurements, Web evolution, Web models
* Traffic and log analysis
* Site-level and other aggregate analysis
* Algorithms and systems for Web-scale search and mining

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