A SMART MEDIA-BASED RECOMMENDATION SYSTEM

📄 Project Abstract

With the growth of the web, there is an explosion in the size of content available to various users around the world. The materials available are a mixture of useful and useless documents to the interest of the user. This show gives the need for a better way of getting useful document from the web and mostly through the taste of the user of the web. This project aims at using the taste and the behavior of a user to get documents that are relevant to what the user needs. Depending on the choices of the user, they may have people with the same taste as them, and the system is to harness this opportunity and recommend materials, based on interaction of the neighbor of the users with other interesting materials. Using a collaborative filtering approach, the system can find the items (document) that other users with similar interest with the current user have read and rated to a good degree. In the early stages of the system's life, the system can't depend on the Collaborative approach alon...