Data Mining Framework for Web Search Personalization
Main Article Content
Abstract
Web users may have diverse search objectives when they search by giving queries and submitting it to a search engine. The inference and analysis of user search goals can be very useful for providing an expected result for a user search query. The below mentioned framework will give the data identified with the client objectives by analysing search engine query logs. User would practically benefit if search results could be displayed in different categories with manual rating so that user defined highest rated URLs are displayed at the top. It will help user to save effort and time in retrieving the required information. For achieving this feedback sessions are constructed from user click-through logs and pseudo-documents are generated. Pseudo-documents represent the feedback sessions for clustering. Using “Classified Average Precision (CAP)†criterion the performance of inferring user search goals can be evaluated.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.