https://scholars.lib.ntu.edu.tw/handle/123456789/632335
標題: | Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification | 作者: | Chen W.-H Hsu C.-C Lai Y.-A Liu V Yeh M.-Y SHOU-DE LIN |
關鍵字: | attribute; collaborative filtering; matrix factorization; recommender system; survey | 公開日期: | 2020 | 卷: | 2 | 來源出版物: | Frontiers in Big Data | 摘要: | 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 systems and finds that they can be classified into four different categories mathematically. We provide readers not only with a high-level mathematical interpretation of the existing work in this area but also with mathematical insight into each category of models. Finally, we provide in-depth experiment results comparing the effectiveness of the major models in each category. Copyright © 2020 Chen, Hsu, Lai, Liu, Yeh and Lin. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089937997&doi=10.3389%2ffdata.2019.00049&partnerID=40&md5=6405728e09fd2e9a1d34ea6c6d34c13b https://scholars.lib.ntu.edu.tw/handle/123456789/632335 |
ISSN: | 2624909X | DOI: | 10.3389/fdata.2019.00049 |
顯示於: | 資訊工程學系 |
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