Author:
Manjeet Singh and Namita Goyal
Abstract
Recommendation System plays an important role in today’s era of e-commerce. From OTT platforms to the
shopping application and music application everywhere we see that after watching a movie or buying an
item, listening a song we are recommended with some other movie or item or song. Most of the time we select
our next movie, item or song from the recommended one. In this paper I will give you a brief description of
collaborative and user-based filtering. The data used in this research is taken from Movie Lens. The result
obtained contains some movie recommendations.
Publisher
International Journal for Modern Trends in Science and Technology (IJMTST)
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献