Trust-Centric and Attack-Resistant Recommender System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0538-2_8
Reference20 articles.
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3. Akcayol MA, Utku A, Aydoğan E, Mutlu B (2018) A weighted multi-attribute-based recommender system using extended user behavior analysis. Electron Commer Res Appl 28:86–93. Retrieved from https://www.sciencedirect.com/science/article/pii/S1567422318300164; https://doi.org/10.1016/j.elerap.2018.01.013
4. Burke R, Mobasher B, Williams C, Bhaumik R (2006) Classification features for attack detection in collaborative recommender systems. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 542–547
5. Cao J, Wu Z, Mao B, Zhang Y (2013) Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system. World Wide Web 16(5):729–748
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