A multinational team has developed powerful algorithms that beat the accuracy of Netflix’s movie-recommendation engine by more than 10 percent, qualifying for a $1 million prize.
Hopefully someday libraries will be able to use some of these technologies to help our patrons to find books as well as movies.
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