Collaborative Filtering Based Recommendation System: A survey

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 5

Abstract

the most common technique used for recommendations is collaborative filtering. Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships from a group of user who share the same preferences and taste. In this paper we have explored various aspects of collaborative filtering recommendation system. We have categorized collaborative filtering recommendation system and shown how the similarity is computed. The desired criteria for selection of data set are also listed. The measures used for evaluating the performance of collaborative filtering recommendation system are discussed along with the challenges faced by the recommendation system. Types of rating that can be collected from the user to rate items are also discussed along with the uses of collaborative filtering recommendation system.

Authors and Affiliations

Mohd Abdul Hameed , Omar Al Jadaan , S. Ramachandram

Keywords

Related Articles

An Agent Based Simulation Model for Warning Messages Dissemination in a Vehicular Ad hoc Network

Since the safety on roads has become a main concern for both governments and car manufacturers in the last twenty years, number of applications into the domain of vehicular communication is proposed. Vehicular Ad hoc Net...

A Single Fromat for Measuring different Aspects of Testing

In-Process testing metrics has been used from some years and its usage is frequently increasing. There are different metrics for software testing i.e to measure testing progress, Mean time between arrival of error, densi...

DESIGN AND SIMULATION OF MULTIBAND PLANAR INVERTED-F ANTENNA FOR MOBILE PHONE APPLICATIONS

The proposed multiband planar inverted-F antenna has a very simple structure. The antenna has only one layer so it is easy to fabricate. The size of radiating patch of proposed antenna is 20mm× 25mm, while the size of gr...

Convergence of ART in Few Projections

Algebraic Reconstruction Technique (ART) is an iterative algorithm to obtain reconstruction from projections in a finite number of iterations. The present paper discuses the convergence achieved in small number of iterat...

GA Based Test Case Generation Approach for Formation of Efficient Set of Dynamic

Automated test case generation is an efficient approach for software testing. Slicing of program provides ease to testability and enhances debugging capacity. To generate the dynamic slice, slicing criterion is required...

Download PDF file
  • EP ID EP161107
  • DOI -
  • Views 95
  • Downloads 0

How To Cite

Mohd Abdul Hameed, Omar Al Jadaan, S. Ramachandram (2012). Collaborative Filtering Based Recommendation System: A survey. International Journal on Computer Science and Engineering, 4(5), 859-876. https://europub.co.uk/articles/-A-161107