Content Bookmarking and Recommendation

摘要

Personalized services are increasingly becoming popular in the Internet. This work proposes a way of generating personalized content and simultaneously recommending users, web pages that, he/she might be interested in, based on his/her personalized content. In this work, we portray a system that not only helps the user in bookmarking the URL and snippets from the web page but also recommends web pages relevant to his/her interest. It applies a content-based filtering approach. We describe the details of the approach and implementation as well as address the challenges associated with it.