A New Approach for Recommendation System Using Improved User Similarity Matrix

  • Rohit Rahat Masih, Mr. Sushil Sharma

Abstract

Recommendations systems are very useful in recommending items for online portals. These systems are applicable in e-commerce web sites, publication agencies, news agencies etc. Many researchers proposed recommendation algorithms on the basis of items similarity, users similarity or hybrid of both. This paper proposed a recommendation system that is based on the history of users. It finds the similarity between users by exploring their previous history. The algorithm is applied on a standard data set of movie recommendation and its results are found better as compared to other algorithms.

Published
2020-03-30
How to Cite
Rohit Rahat Masih, Mr. Sushil Sharma. (2020). A New Approach for Recommendation System Using Improved User Similarity Matrix. International Journal of Advanced Science and Technology, 29(3), 14123 - 14130. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/31850
Section
Articles