CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking

Author:

Gao Qinyun,Yu Shenbao,Chen BilianORCID,Cao Langcai

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference42 articles.

1. Regulation P (2016) Regulation (eu) 2016/679 of the european parliament and of the council. Regulation (eu) 679:2016

2. Parameswaran R, Blough DM (2007) Privacy preserving collaborative filtering using data obfuscation. In: 2007 IEEE International Conference on Granular Computing (GRC 2007), pp. 380–380. IEEE

3. Berkovsky S, Kuflik T, Ricci F (2012) The impact of data obfuscation on the accuracy of collaborative filtering. Expert Syst Appl 39(5):5033–5042

4. Luo Z, Chen S, Li Y (2013) A distributed anonymization scheme for privacy preserving recommendation systems. In: 2013 IEEE 4th International Conference on Software Engineering and Service Science, pp. 491–494. IEEE

5. Rubio JE, Alcaraz C, Lopez J (2017) Recommender system for privacy preserving solutions in smart metering. Pervasive Mob Comput 41:205–218

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