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Author Tamine-Lechani, Lynda ♦ Boubekeur, Fatiha
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Preference Weight ♦ User Interest ♦ User Query ♦ Different Background ♦ Retrieval Model ♦ Predominance Property ♦ Ambiguous Query ♦ Context Aware Information Retrieval ♦ User Context ♦ Underlying Idea ♦ Information Volume ♦ Search Engine ♦ Key Challenge ♦ Preliminary Experimental Result ♦ Theoretical Support ♦ Accurate Result ♦ Information Retrieval ♦ Different Specific Information ♦ Personalized Retrieval Process ♦ Different User ♦ First Contribution ♦ Enhanced Trec Collection ♦ Graphical Model ♦ Qualititative Query ♦ Second Contribution
Abstract It is well known that with the increasing of information volumes across the Web, it is increasingly difficult for search engines to deal with ambiguous queries. In order to overcome this limit, a key challenge in information retrieval nowadays consists in enhancing an information seeking process with the user’s context in order to provide accurate results in response to a user query. The underlying idea is that different users have different backgrounds, preferences and interests when seeking information and so a same query may cover different specific information needs according to who submitted it. This paper investigates the use of graphical models to respond to the challenge of context aware information retrieval. The first contribution consists in using CP-Nets as formalism for expressing qualititative queries. The approach for automatically computing the preference weights is based on the predominance property embedded within such graphs. The second contribution focuses on another aspect of context, namely the user’s interests. An influence-diagram based retrieval model is presented as a theoretical support for a personalized retrieval process. Preliminary experimental results using enhanced TREC collections show the effectiveness of our approach. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2009-01-01