Using query logs and click data to create improved descriptions
conference paper
Logfles of search engines are a promising resource for data mining, since they provide raw data associated to users and web documents. In this paper we focus on the latter as- pect and explore how the information in logfles could be used to improve document descriptions. A pilot experiment demonstrated that document descriptors extracted from the queries that are associated with documents by clicks provide useful semantic information about documents in addition to document descriptors extracted from the full text of the web pages. Copyright 2009 ACM.
Topics
TNO Identifier
444896
Source title
Workshop on Web Search Click Data, WSCD'09, 9 febuari 2009, Barcelona, Spain
Pages
64-67
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