A method and system for privacy preserving matrix factorization
BACKGROUND 0003. A great deal of research and commercial activity in the last decade
has led to the wide-spread use of recommen dation systems. Such systems offer users
personalized rec ommendations for many kinds of items, such as movies, TV shows, music,
books, hotels, restaurants, and more. FIG. 1 illustrates the components of a general
recommendation sys tem 100: a number of users 110 representing a Source and a
Recomender System (RecSys) 130 which processes the users inputs 120 and outputs …
has led to the wide-spread use of recommen dation systems. Such systems offer users
personalized rec ommendations for many kinds of items, such as movies, TV shows, music,
books, hotels, restaurants, and more. FIG. 1 illustrates the components of a general
recommendation sys tem 100: a number of users 110 representing a Source and a
Recomender System (RecSys) 130 which processes the users inputs 120 and outputs …
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