Title
Using query logs and click data to create improved descriptions
Author
Heijden, M.V.D.
Hinne, M.
Kraaij, W.
Verberney, S.
Weide, T.V.D.
TNO Informatie- en Communicatietechnologie
Publication year
2009
Abstract
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.
Subject
Informatics
Descriptors
Pilot experiment
Query logs
Semantic information
Web document
Web page
Information management
Information retrieval
Mining
Search engines
World Wide Web
To reference this document use:
http://resolver.tudelft.nl/uuid:c9a5ad30-0a29-4ac2-aa84-e79ee202f359
DOI
https://doi.org/10.1145/1507509.1507519
TNO identifier
444896
Source
Workshop on Web Search Click Data, WSCD'09, 9 febuari 2009, Barcelona, Spain, 64-67
Document type
conference paper