Survey on Collaborative and Content-based Recommendation Systems-Reference-Cited by-同舟云学术

Survey on Collaborative and Content-based Recommendation Systems

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:

Thorat Sandeep A.¹,Ashwini Gavade²,Seema Mane²

Affiliation:

1. Government College of Engineering and Research, Avasari,Computer Engineering Department,Pune,India

2. Sinhgad Institute of Technology & Science, Narhe,Information Technology Department,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059461/10060864/10061072.pdf?arnumber=10061072

Reference46 articles.

1. Matrix Factorization with Rating Completion: An Enhanced SVD Model for Collaborative Filtering Recommender Systems;li;IEEE Access,2017

2. Enhancing user experience with conversational agent for movie recommendation: Effects of self-disclosure and reciprocity

3. A contentbased literature recommendation system for datasets to improve data reusability - A case study on Gene Expression Omnibus (GEO) datasets;gopal patra;Journal of Biomedical Informatics 104,2020

4. Cold Start Recommendation Based on Attribute-Fused Singular Value Decomposition;gro;IEEE Access,2019

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