Supervised Prototypical Variational Autoencoder for Shilling Attack Detection in Recommender Systems - researchr publication related

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Xinhao Wang, Huiju Zhao, Youquan Wang, Haicheng Tao, Jie Cao. Supervised Prototypical Variational Autoencoder for Shilling Attack Detection in Recommender Systems. In Ying Tan 0002, Yuhui Shi, editors, Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II. Volume 1745 of Communications in Computer and Information Science, pages 231-245, Springer, 2022. [doi]

The following publications are possibly variants of this publication:

Shilling attack detection utilizing semi-supervised learning method for collaborative recommender systemJie Cao, Zhiang Wu, Bo Mao, Yanchun Zhang. www, 16(5-6):729-748, 2013. [doi]

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