Tatsuya Osame

Recommendation with k-anonymized Ratings

2017 · arXiv (Cornell University)

Recommender systems are widely used to predict personalized preferences of goods or services using users' past activities, such as item ratings or purchase histories. If collections of such personal activities were made publicly available, they …