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WSDM 2013 : WSDM - International Conference on Web Search and Data MiningConference Series : Web Search and Data Mining | |||||||||||||||
Link: http://wsdm2013.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
http://wsdm2013.org/index.php/call-for-papers
WSDM (pronounced "wisdom") is one of the premier conferences covering research in the areas of search and data mining on the Web. The Sixth ACM WSDM Conference will take place in Rome, Italy during February 6-8, 2013. February 4 will be dedicated to the doctoral consortium; whereas February 5 will be dedicated to tutorials, workshops and data challenge. WSDM publishes original, high quality papers and presentations related to search and data mining on the Web and the Social Web, with an emphasis on practical but principled novel models of search, retrieval and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance. WSDM 2013 is a highly selective, single track meeting that includes invited talks as well as refereed full papers. Topics covered include but are not limited to: Web Search Web dynamics and search Multifaceted and task-driven search Multimedia Web search Security and privacy in Web search and mining User interfaces and interaction User and search modeling Personalized search and ranking Distributed, meta, and peer-to-peer search Vertical portals and search Search quality benchmarking and evaluation Search result ranking and assistance Searching social and real-time content Algorithms and systems for web-scale search Sponsored Search and Computational Advertising Web Mining Web measurements, Web evolution, Web models Clustering, classification, and summarization of Web data Opinion mining and sentiment analysis Multimodal data mining Data, entity, event and relationship extraction Sense and entity disambiguation Data integration and data cleaning Discovery-driven Web and social network mining Traffic and log analysis Algorithms and systems for Web-scale mining Social Search and Mining Web measurements, Web evolution, Web models Clustering, classification, and summarization of Web data Opinion mining and sentiment analysis Multimodal data mining Data, entity, event and relationship extraction Sense and entity disambiguation Data integration and data cleaning Discovery-driven Web and social network mining Traffic and log analysis Algorithms and systems for Web-scale mining |
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