A recommender system approach to enhance web search and query formulation

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Title: A recommender system approach to enhance web search and query formulation
Authors: O'Mahony, Michael P.
O'Brien, Maeve
Boydell, Oisin
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/1205
Date: 2008
Abstract: While search engines are the primary means by which information is located online, significant issues remain when trying to satisfy the needs of searchers, especially in the face of the type of vague queries that dominate Web search. In this paper, we tackle this problem by applying a recommender system approach to Web search which allows users to dynamically interact with the result-space that is of interest to them. Our proposed recommendation interface also facilitates query expansion through a context-sensitive tag cloud, helping searchers to efficiently assimilate potential expansion terms that are mined from results of interest. We present findings from a live user trial of our approach which indicate, for example, that it facilitates users to locate relevant information more quickly when compared to using standard search engine result lists.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Subject LCSH: Internet searching--Case studies
Recommender systems (Information filtering)
Web search engines
Language: en
Status of Item: Peer reviewed
Conference Details: AICS 2008: The 19th Irish Conference on Artificial Intelligence and Cognitive Science, 27-29 Aug 2008, Cork
metadata.dc.date.available: 2009-06-22T13:23:26Z
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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