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An Improved Product Recommender System Using Collaborative Filtering and a Comparative Study of ML Algorithms Cover

An Improved Product Recommender System Using Collaborative Filtering and a Comparative Study of ML Algorithms

Cybernetics and Information Technologies
Volume 23 (2023): Issue 4 (November 2023)
By: S. Amutha and  R. Vikram Surya  
Open Access
|Nov 2023

Authors

S. Amutha

amutha.s@vit.ac.in

School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

R. Vikram Surya

vikramsurya.r2019@vitstudent.ac.in

School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
DOI: https://doi.org/10.2478/cait-2023-0035 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 51 - 62
Submitted on: May 2, 2023
|
Accepted on: Nov 17, 2023
|
Published on: Nov 30, 2023
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Recommender system,
Collaborative Filtering (CF),
Pearson Correlation Coefficient (PCC),
Cold start problem,
Data sparsity
Related subjects:
Computer sciences,
Information technology

© 2023 S. Amutha, R. Vikram Surya, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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