Document (#12925)

Author
Smith, M.P.
Pollitt, A.S.
Title
Ranking and relevance feedback extensions to a view-based searching system
Source
Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
Imprint
Oxford : Learned Information
Year
1995
Pages
S.231-240
Abstract
The University of Huddersfield, UK, is researching ways of incorporating ranking and relevance feedback techniques into a thesaurus based searching system. The INSPEC database on STN International was searched using the VUSE (View-based Search Engine) interface. Thesaurus terms from documents judged to be relevant by users were used to query INSPEC and create a ranking of documents based on probabilistic methods. An evaluation was carried out to establish whether or not it would be better for the user to continue searching with the thesaurus based front end or to use relevance feedback, looking at the ranked list of documents it would produce. Also looks at the amount of effort the user had to expend to get relevant documents in terms of the number of non relevant documents seen between relevant documents
Theme
Retrievalstudien

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  4. Maron, M.E.; Kuhns, I.L.: On relevance, probabilistic indexing and information retrieval (1960) 0.30
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  5. Ye, Z.; Huang, J.X.; Lin, H.: Finding a good query-related topic for boosting pseudo-relevance feedback (2011) 0.27
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