A Collaborative Filtering Approach Based on Naïve Bayes Classifier
Recommender system is an information filtering tool used to alleviate information overload for users on the web. Collaborative filtering recommends items to users based on their historical rating information. There are two approaches: memory-based, which usually provides inaccurate but explainable r...
Main Authors: | Priscila Valdiviezo-Diaz, Fernando Ortega, Eduardo Cobos, Raul Lara-Cabrera |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8787761/ |
Similar Items
-
Comparison of correlated algorithm accuracy Naive Bayes Classifier and Naive Bayes Classifier for heart failure classification
by: Pungkas Subarkah, et al.
Published: (2022-08-01) -
Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers
by: Shufen Ruan, et al.
Published: (2020-01-01) -
Naïve Bayes Classifier-Assisted Least Loaded Routing for Circuit-Switched Networks
by: Longfei Li, et al.
Published: (2019-01-01) -
Enhancing the Efficiency of Gaussian Naïve Bayes Machine Learning Classifier in the Detection of DDOS in Cloud Computing
by: Sarah Naiem, et al.
Published: (2023-01-01) -
Application of The Naïve Bayes Classifier Algorithm to Classify Community Complaints
by: Keszya Wabang, et al.
Published: (2022-11-01)