Industry Report Amazon.com Recommendations

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best-selling items, the algorithm typically multi-plies the vector components by the inverse fre-quency (the inverse of the number of customers who have purchased or rated the item), making less well-known items much more relevant. 3 For almost all customers, this vector is extremely sparse. The algorithm generates recommendations

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