Аннотация
The growth of Internet commerce has stimulated
the use of collaborative filtering (CF) algorithms
as recommender systems. Such systems leverage
knowledge about the known preferences of
multiple users to recommend items of interest to
other users. CF methods have been harnessed
to make recommendations about such items as
web pages, movies, books, and toys. Researchers
have proposed and evaluated many approaches
for generating recommendations. We describe
and evaluate a new method...
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