Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification

Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification

Attribute-aware CF models aim at rating prediction given not only the historical rating given by users to items but also the information associated with users (e.g., age), items (e.g., price), and ratings (e.g., rating time). This paper surveys work in the past decade to develop attribute-aware CF s...

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Bibliographic Details
Main Authors: Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Big Data
Subjects:
recommender system
matrix factorization
collaborative filtering
attribute
survey
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2019.00049/full

Internet

https://www.frontiersin.org/article/10.3389/fdata.2019.00049/full

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