Review on Multisite Framework for Web page Recommendation Using Incremental Mining

Review on Multisite Framework for Web page Recommendation Using Incremental Mining
Author(s):
Rahul B. Patil, K. B. Manwade
Keywords:

Abstract
Web user finds difficulty when surfing the web because of large amounts of information. Recommendation systems help web users by providing useful and effective suggestions. They are using the learning and prediction models which learn user’s behavior and evaluate user’s future interest. Web user satisfaction and website usage will be improved by using web page recommendation. Web page Recommendation can be improved by Semantic enhanced “Multisite framework for Web page Recommendation using Incremental Mining”. In which web page recommendation will be done by using multiple website in same domain. Different sites will be give effective recommendation results. Dynamic web page recommendations tools will be generated to identify and collect more appropriate web usage data. Synonyms of the domain terms (related terms) will be identified. This would help to generate more appropriate data. Web usage knowledge will keep up to date using incremental mining for dynamically updates the knowledge base.
Article Details
Unique Paper ID: 143835 Publication Volume & Issue: Volume 3, Issue 2 Page(s): 61 - 64
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