SPIREL jointly factorizes a user-POI visit-count matrix and a noisy POI-POI transition matrix under local differential privacy and reports higher hit-rate and MRR than prior private matrix-factorization recommenders.
Unique in the crowd: The privacy bounds of human mobility,
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Successive Point-of-Interest Recommendation with Local Differential Privacy
SPIREL jointly factorizes a user-POI visit-count matrix and a noisy POI-POI transition matrix under local differential privacy and reports higher hit-rate and MRR than prior private matrix-factorization recommenders.