classified average precision for retrieving information using feedback sessions
Bhuvaneswari.S,Shobana.P,Vaishnavi.V,Ramya.P
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:3 Issue:2 Year: 10 March,2014 Pages:375-383
Abstract
Information Surfing is one of the vital phenomenon in today’s world. Users prefer to surf internet by their queries to clarify their known uncertain information. Search engines do not often bring the user required information and does not fulfill the request completely. Hence it is necessary to infer and mine user specific interest about a topic. Using Internet the user collects the required information through the search engine. To provide the best result by the internet, the user search goal has to be analyzed. The feedback sessions are clustered to find out special user search goals for a query and the Pseudo-documents for it. The user search goals are understand using Classified Average precision (CAP) algorithm.
Kewords
user search goals, feedback sessions, pseudo-documents, classified average precision
Reference
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