Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets
Nowadays, because of the tremendous amount of information that humans and machines produce every day, it has become increasingly hard to choose the more relevant content across a broad range of choices. This research focuses on the design of two different intelligent optimization methods using Artif...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/7/1106 |