期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：1
DOI：10.15680/ijircce.2015.0301024
出版社：S&S Publications
摘要：In real scenario when users submit a search query to a search engine, each user may have differentsearch goals. We can improve search engine relevance by analyzing user search goals. We present an approach thatinfers user search goals by analyzing search engine query logs. Our approach discovers different user search goals for aquery by clustering the proposed feedback sessions. Users information needs can be captured with the help of feedbacksessions. Feedback sessions are constructed from user click-through logs and can efficiently reflect the informationneeds of users on results. Secondly, we also generate pseudo-documents for better representation of the feedbacksessions for clustering. Finally, we present Classified Average Precision (CAP) to evaluate the performance of inferringuser search goals. For an ambiguous query, different users may have different search goals when they submit it to asearch engine. The inference and analysis of user search goals can be very useful in improving search engine relevanceand user experience. In this paper, we present a novel approach to Enhance Search Result For User Query UsingIterative User Feedback.
