A survey on trustworthy model of recommender system-Reference-Cited by-同舟云学术

A survey on trustworthy model of recommender system

Published:2021-03-13 Issue: Volume: Page:
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Jha Govind Kumar^ORCID,Gaur Manish,Ranjan Preetish,Thakur Hardeo Kumar

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-021-01085-z.pdf

Reference63 articles.

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2. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734–749

3. Aghiles S, Nicoleta R, Mohamed N (2016) A dynamic, collaborative filtering system via a weighted clustering approach. Neurocomputing 175:206–215

4. Amatriain X (2013) Mining large streams of user data for personalized recommendations. ACM SIGKDD Explor Newslett 14(2):37–48

5. Apte C (2010) The role of machine learning in business optimization. In: Proceedings of the 27th international conference on machine learning, pp 1–2

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