An Improved Collaborative Filtering Recommendation Algorithm Based on Retroactive Inhibition Theory

An Improved Collaborative Filtering Recommendation Algorithm Based on Retroactive Inhibition Theory

Collaborative filtering (CF) is the most classical and widely used recommendation algorithm, which is mainly used to predict user preferences by mining the user’s historical data. CF algorithms can be divided into two main categories: user-based CF and item-based CF, which recommend items based on r...

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Bibliographic Details
Main Authors:	Nihong Yang, Lei Chen, Yuyu Yuan
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Applied Sciences
Subjects:	collaborative filtering recommendation algorithm retroactive inhibition item embedding embedding clustering
Online Access:	https://www.mdpi.com/2076-3417/11/2/843

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