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MobRec – Mobile Platform for Decentralized Recommender Systems
2020
IEEE Access
Recommender systems recommend new movies, music, restaurants, etc. Typically, service providers organize such systems in a centralized way, holding all the data. Biases in the recommender systems are not transparent to the user and lock-in effects might make it inconvenient for the user to switch providers. In this paper, we present the concept, design, and implementation of MobRec, a mobile platform that decentralizes the data collection, data storage, and recommendation process. MobRec's
doi:10.1109/access.2020.3029319
fatcat:k2clywprcfdwrcto6ombuurzu4