A Hybrid Movie Recommendation System
Amit Nandi, V Harsha Sai, Mohit Maity, Vinay Kumar A, Sridhar R
The technological advancement and the increasing demand of precision is getting even higher as the days are passing. In such situations, analyzing the mindset of users to avail exactly what they want becomes quite a tough job. The systems available for generating recommendations are quite efficient and precise for enabling users to map to their stream of choices. In the field of movie recommendation, the available models are quite fine-tuned to scale with user expectations but, the major issue of information overloading still persists along with personalized user interface. The proposed model deals with the above mentioned issues and attempts to provide a well suited and precise movie recommendation.
Article Details
Unique Paper ID: 155811

Publication Volume & Issue: Volume 9, Issue 2

Page(s): 1 - 4
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews