JOURNAL ARTICLE

Movie Recommendation System using an Item-based Collaborative Filtering

Raja Marappan

Year: 2022 Journal:   International Journal of Mathematical Engineering Biological and Applied Computing Vol: 1 (1)Pages: 42-43

Abstract

Everyone likes movies irrespective of color, gender, age, location, and race. The most important thing is how the users are getting our unique combinations of choices concerning the preferences of the movies. This article focuses on the creation of a movie recommendation system using item-based collaborative filtering.

Keywords:
Collaborative filtering Recommender system Computer science Information retrieval Race (biology) Multimedia World Wide Web Sociology

Metrics

3
Cited By
1.14
FWCI (Field Weighted Citation Impact)
10
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems

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