Content-based Movie Recommendation System and Sentimental analysis using ML | IEEE Conference Publication | IEEE Xplore

Content-based Movie Recommendation System and Sentimental analysis using ML


Abstract:

The recommendation system is important in today’s world and is employed by many famous apps. A recommendations system is one that suggests books, movies, music, and other...Show More

Abstract:

The recommendation system is important in today’s world and is employed by many famous apps. A recommendations system is one that suggests books, movies, music, and other resources to users based on a data collection. Typically, movie recommendation algorithms anticipate what movies a user would enjoy based on the characteristics of previously loved movies. The algorithms can propose movies based on one or more criteria such as the genre of the film, the people in it, or even the director of the film. The method used is content-based filtering with genre correlation.
Date of Conference: 17-19 May 2023
Date Added to IEEE Xplore: 08 June 2023
ISBN Information:

ISSN Information:

Conference Location: Madurai, India

References

References is not available for this document.