A hybrid user-based collaborative filtering algorithm with topic model-Reference-Cited by-同舟云学术

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A hybrid user-based collaborative filtering algorithm with topic model

Published:2021-03-20 Issue:11 Volume:51 Page:7946-7959
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Na Liu^ORCID,Ming-xia Li,Hai-yang Qiu,Hao-long Su

Funder

National Natural Science Foundation of China

National Basic Research Program of China

General project of Liaoning Provincial Department of Education Science Research

Natural Science Foundation of Liaoning Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02207-7.pdf

Reference28 articles.

1. Goldberg D, Nichols D, Oki BM, Terry D (1992) Using collaborative filtering to weave an information tapestry. Comm ACM 35(12):61–70

2. Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Comput 7(1):76–80

3. Ali K, Van Stam W (2004) Tivo: making show recommendations using a distributed collaborative filtering architecture. In: Proceedings of the 10th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 394–401

4. Herlocker JL, Konstan JA, Borchers A, Riedl J (1999) An algorithmic framework for performing collaborative filtering. In: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval. ACM, pp 230–237

5. Sarwar B, Karypis G, Konstan J, Ried J (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web. ACM, pp 285–295

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