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A Smart Media-Based Recommendation System

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Description

Download A Smart Media-Based Recommendation System. Computer Science students who are writing their projects can get this material to aid their research work.

Abstract

Smart media devices such as smartphones and tablets are getting more powerful, smarter, cheaper and hence more popular.

Recommendation systems become very common in e-business and e-Commerce, for example: Amazon, Google, eBay, Facebook, etc. all are using recommendation systems to promote their business.

Recommendation systems are rarely used in learning; however it can be very useful.The proposed project works as follow:

  • Send a learning query to sites, sources and repositories across the Web and gather relevant information through the use of recommendation system that filter all the useless or irrelevant materials off the main list of recommended
  • Filter result from other user’s preference using collaborative-filtering, having the current query in
  • Use TFIDF for content-based filtering and ranking of the shortlisted pages or articles.
  • Present the shortlist based on their rank to the user of the

Introduction

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.

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