Cost effective personalized recommendation algorithm for internet users to browse news

Authors

  • Charandas D Department of Studies in Computer Science and Engineering, University of BDT College of Engineering, Davanagere.

Keywords:

component; pre-recommendation, cold-star problem, slope-one algorithm, item based recommendation, computing deviations

Abstract

The algorithm that use for the recommending the news are graph based collaborative filtering algorithm which costs
high in computation and its maintenance, so this paper mainly focus on propose to use the slope one algorithm which can
recommend the news with low computation cost, and I propose some simple technique to take on the drawbacks of the slope- one
algorithm.

Downloads

Published

2016-07-25

How to Cite

Charandas D. (2016). Cost effective personalized recommendation algorithm for internet users to browse news. International Journal of Advance Research in Engineering, Science & Technology, 3(7), 186–187. Retrieved from https://ijarest.org/index.php/ijarest/article/view/928

Issue

Vol. 3 No. 7 (2016): Volume: 03, Issue: 07 - July, 2016.

Section

Articles