Improving the Prediction Quality in Memory-Based Collaborative Filtering Using Categorical Features

Improving the Prediction Quality in Memory-Based Collaborative Filtering Using Categorical Features

Despite years of evolution of recommender systems, improving prediction accuracy remains one of the core problems among researchers and industry. It is common to use side information to bolster the accuracy of recommender systems. In this work, we focus on using item categories, specifically movie g...

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Bibliographic Details
Main Authors: Lei Chen, Yuyu Yuan, Jincui Yang, Ahmed Zahir
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Electronics
Subjects:
collaborative filtering
kNN
categorical features
recommender systems
similarity
Online Access:https://www.mdpi.com/2079-9292/10/2/214

Internet

https://www.mdpi.com/2079-9292/10/2/214

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