Research Article
SDRM-LDP: A Recommendation Model Based on Local Differential Privacy
Input: ; | Output: The Query Results & New History Records | 1: Initialization | 2: fordo | 3: Sort based on time | 4: ifthen | 5: Deleting . | 6: Get new records . | 7: Perturbing History Records | 8: | 9: Get . | 10: end if | 11: end for | 12: Local Differential Privacy | 13: Probability of true query result is , add noise for each user. | 14: | 15: | 16: Get the privacy item query result . |
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