Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features

Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features

With the development of the Web, users spend more time accessing information that they seek. As a result, recommendation systems have emerged to provide users with preferred contents by filtering abundant information, along with providing means of exposing search results to users more effectively. T...

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Bibliographic Details
Main Authors: Sang-Min Choi, Dongwoo Lee, Kiyoung Jang, Chihyun Park, Suwon Lee
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
recommendation system
collaborative filtering
content-based filtering
data sparsity
matrix regeneration
Online Access:https://www.mdpi.com/2227-7390/11/2/292

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https://www.mdpi.com/2227-7390/11/2/292

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