A Review on Personalized Information Recommendation System Using Collaborative Filtering
The term Collaborative Filtering is used as a backbone in almost all Commercial Recommendation Systems today. This paper attempts to review all major developments in area of Collaborative Filtering. Main application area is outlined and examples of applications of Collaborative Filtering are presented. Much of the information on the Internet today consists of documents made available to many recipients through mailing lists, distribution lists, bulletin boards, asynchronous computer conferences, newsgroups, and the World Wide Web. World Wide Web is a huge source of information. It will give information on almost all topics existing today.