R. Lokeshkumar and P. Sengottuvelan
A Novel Approach to Improve Users Search Goal in Web Usage Mining
624 - 628
2015
9
2
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10002371
https://publications.waset.org/vol/98
World Academy of Science, Engineering and Technology
Web mining is to discover and extract useful
Information. Different users may have different search goals 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 experience result for a user search query. In this project,
we propose a novel approach to infer user search goals by analyzing
search web logs. First, we propose a novel approach to infer user
search goals by analyzing search engine query logs, the feedback
sessions are constructed from user clickthrough logs and it
efficiently reflect the information needed for users. Second we
propose a preprocessing technique to clean the unnecessary data’s
from web log file (feedback session). Third we propose a technique
to generate pseudodocuments to representation of feedback sessions
for clustering. Finally we implement kmedoids clustering algorithm
to discover different user search goals and to provide a more optimal
result for a search query based on feedback sessions for the user.
Open Science Index 98, 2015