Synergizing Collaborative Filtering and Popularity Scores in a Machine Learning Approach for Content Suggestions-Reference-Cited by-同舟云学术

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Synergizing Collaborative Filtering and Popularity Scores in a Machine Learning Approach for Content Suggestions

Published:2023-11-22 Issue: Volume:8 Page:442-449
ISSN:
Container-title:2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

Chaturvedi Abhay¹,Mathews Boban²,Kumar Patra Sasi³,Anil Kumar N⁴,Kavitha R.⁵,Kumar Lakineni Prasanna⁶

Affiliation:

1. GLA University,Department of Electronics and Communication Engineering,Mathura,Uttar Pradesh,India

2. Brindavan College of Engineering,Department of ECE,Bangalore,Karnataka,India

3. GIET Engineering College,Department of Computer Science & Engineering,Andhra Pradesh,India

4. School of Engineering, Mohan Babu University,Department of Electronics and Communication Engineering,Tirupati,India

5. Velammal College of Engineering and Technology,Department of Information Technology,Madurai,Tamilnadu,India

6. GITAM School of Technology, GITAM University,Department of CSE,Visakhapatnam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394672/10394681/10395086.pdf?arnumber=10395086

Reference20 articles.

1. Online Book Recommendation System using Custom Recommender

2. A collaborative filtering based library book recommendation system

3. The Design and Implementation of Books Recommendation System

4. Book Recommendation System through content based and collaborative filtering method

5. Paper Book Recommendation System by using Neural Network

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