Analysis on Item-Based and User-Based Collaborative Filtering for Movie Recommendation System-Reference-Cited by-同舟云学术

Analysis on Item-Based and User-Based Collaborative Filtering for Movie Recommendation System

Published:2021-12-10 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT)
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Author:

Shrivastava Neha¹,Gupta Surendra¹

Affiliation:

1. SGSITS,dept.of Computer Engineering,Indore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707901/9707891/09707955.pdf?arnumber=9707955

Reference16 articles.

1. A Hybrid Approach for Movie Recommendation System Using Feature Engineering;sathiya devi;2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT),0

2. Using Content- based filtering for recommendation;van meteren;Proceedings of the Machine Learning in the New Information Age MLnet/ECML2000 Workshop,2000

3. Improved Pearson Similarity for Collaborative Filtering Recommendation on System;gadekula,0

4. Item-based collaborative filtering recommendation algorithms

5. Amazon.com recommendations: item-to-item collaborative filtering

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