Given an ambiguous query, different users may have different search goals and the accurate links may not be produced. The current existing system does not look through the complete description and content of every link. A novel approach is proposed to infer user search goal by analyzing search engine query logs. First, producing a feedback session which are constructed from user click through logs and can efficiently the information needed by the user. Second the removal of the stop and stemming words from the given query and produce the related links. Third, by using administrator login and user login, storing the user’s history though used from different systems and the mail is sent regarding the recent viewed link to the user’s mail id. Generating the pseudo documents to represent feedback session for clustering. Finally the classified average precision is used to restructure and evaluate the performance of inferring user search goals.
Keywords
User search goal
feedback session
pseudo-documents
classified average precision
Authors
Dr. P.Perumal
N. Archana Reddy,
How to Cite this Article
Dr. P.Perumal, N. Archana Reddy, (2015).
"DATA AWARE QUERY SUGGESTION BY USER CLICK THROUGH FEEDBACK".
International Journal of Contemporary Research in Computer Science and Technology,
1(1), pp. 15-20.
