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ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations.

, , , and . ACM Trans. Intell. Syst. Technol., 14 (5): 80:1-80:29 (October 2023)

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User Privacy in Recommender Systems.. ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 456-461. Springer, (2023)Robustness of Meta Matrix Factorization Against Strict Privacy Constraints., , and . ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 107-119. Springer, (2021)Position Paper on Simulating Privacy Dynamics in Recommender Systems., , and . CoRR, (2021)ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations., , , and . CoRR, (2022)The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias., , , and . ECIR (4), volume 14611 of Lecture Notes in Computer Science, page 466-482. Springer, (2024)Innovation Farm - Innovative Technologien für die Landwirtschaft erlebbar machen., , , , , and . GIL Jahrestagung, volume P-317 of LNI, page 319-322. Gesellschaft für Informatik e.V., (2022)ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations., , , and . ACM Trans. Intell. Syst. Technol., 14 (5): 80:1-80:29 (October 2023)Support the underground: characteristics of beyond-mainstream music listeners., , , , , and . EPJ Data Sci., 10 (1): 14 (2021)Towards employing recommender systems for supporting data and algorithm sharing., , , , and . DE@CoNEXT, page 8-14. ACM, (2022)Application of image processing to track twin boundary motion in magnetic shape memory alloys., , and . Image Processing: Machine Vision Applications, volume 8300 of SPIE Proceedings, page 83000A. SPIE, (2012)