AntTech
Jan 23, 2018 · Artificial Intelligence
Privacy-Preserving Point-of-Interest Recommendation via Decentralized Matrix Factorization
This article summarizes a AAAI 2018 paper that introduces a privacy‑preserving, decentralized matrix‑factorization approach for point‑of‑interest recommendation, detailing its problem definition, model design, random‑walk based user interaction, experimental evaluation on Foursquare and Alipay datasets, and future research directions.
AIdecentralized learningdistributed systems
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