TeCNTS: A Robust Collaborative Filtering Recommendation Scheme Based on Time-effective Close Neighbor Trusted Selection Strategy-Reference-Cited by-同舟云学术

TeCNTS: A Robust Collaborative Filtering Recommendation Scheme Based on Time-effective Close Neighbor Trusted Selection Strategy

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 Tenth International Conference on Advanced Cloud and Big Data (CBD)
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Author:

Han Zhigeng¹,Fan Yuanzhe¹,Chen Geng²,Zhou Ting¹

Affiliation:

1. Nanjing Audit University,School of Computer Science School of Intelligence Audit,Nanjing,China

2. Nanjing Audit University,School of Accounting,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10024507/10024490/10024545.pdf?arnumber=10024545

Reference20 articles.

1. Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack

2. A survey of attack detection approaches in collaborative filtering recommender systems

3. A collaborative filtering recommendation algorithm based on double neighbor choosing strategy;jia;Journal of Computer research and development,2013

5. Trust in recommender systems

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