A Generic Data Synthesis Framework for Privacy-Preserving Point-of-Interest Recommender Systems

Author:

Cui Longyin1ORCID,Wang Xiwei2ORCID,Gu Ting3ORCID

Affiliation:

1. University of Kentucky, Lexington, KY, USA

2. Northeastern Illinois University, Chicago, IL, USA

3. College of the Holy Cross, Worcester, MA, USA

Publisher

ACM

Reference31 articles.

1. [n. d.]. Yelp dataset. ([n. d.]). https://www.yelp.com/dataset [n. d.]. Yelp dataset. ([n. d.]). https://www.yelp.com/dataset

2. Rishabh Ahuja , Arun Solanki , and Anand Nayyar . 2019 . Movie recommender system using k-means clustering and k-nearest neighbor . In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 263--268 . Rishabh Ahuja, Arun Solanki, and Anand Nayyar. 2019. Movie recommender system using k-means clustering and k-nearest neighbor. In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 263--268.

3. Mihael Ankerst , Markus M Breunig , Hans-Peter Kriegel , and Jörg Sander . 1999 . OPTICS: Ordering points to identify the clustering structure. ACM Sigmod record 28, 2 (1999), 49--60. Mihael Ankerst, Markus M Breunig, Hans-Peter Kriegel, and Jörg Sander. 1999. OPTICS: Ordering points to identify the clustering structure. ACM Sigmod record 28, 2 (1999), 49--60.

4. Privacy-preserving collaborative filtering algorithm based on local differential privacy;Bao Ting;China Communications,2021

5. Applying Differential Privacy to Matrix Factorization

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