An Empirical Analysis of Collaborative and Content Based Recommender System by using AI-Reference-Cited by-同舟云学术

An Empirical Analysis of Collaborative and Content Based Recommender System by using AI

Published:2023-05-25 Issue: Volume: Page:
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Container-title:2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Kumar Biresh¹,Nayak Vishal Kumar¹,Banerjee Pallab¹,Dehury Mohan Kumar¹

Affiliation:

1. Amity University,Amity Inst. of Information Technology,Ranchi,Jharkhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199113/10199175/10200257.pdf?arnumber=10200257

Reference18 articles.

1. Similarity Measures for Recommender Systems: A Comparative Study;dilip sondur;J Res,2016

2. An Experimental Study of Building User Profiles for Movie Recommender System;stakhiyevich;2019 International Conference on High Performance Computing and Communications,2019

3. Impact of Feature selection on content-based recommendation system

4. Comparative study of similarity measures for item based top n recommendation;angel baxla,2014

5. Movie Recommendation System Using Machine Learning Algorithms;surendran;International Research Journal of Engineering Technology 2020,0

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