A Survey on Recommendation Systems using Collaborative Filtering Techniques-Reference-Cited by-同舟云学术

A Survey on Recommendation Systems using Collaborative Filtering Techniques

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Prabakaran R.¹,Pradeepkandhasamy J.²,Arun M.²

Affiliation:

1. Kalasalingam Academy of Research and Education,Krishnankoil, Srivilliputtur,Virudhunagar,India

2. Kalasalingam Academy of Researchand Education,School of Computing,Department of Computer Applications,Krishnankoil, Srivilliputtur,Virudhunagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059461/10060864/10060889.pdf?arnumber=10060889

Reference20 articles.

1. Algorithm for movie recommendation system using collaborative filtering;nisha;Materials Today Proceedings,2021

2. A collaborative filtering based recommender system for suggesting new trends in any domain of research;viswa;2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS),2019

3. An Efficient Approach of Product Recommendation System using NLP Technique;akhilesh kumar;Materials Today Proceedings,2021

4. A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce;karthik;Applied Soft Computing,2021

5. Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process

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