| 摘要 |
<p>A computer-implemented method for providing product recommendations to customers is disclosed. For each customer for whom a product recommendation is desired, hereinafter“the target customer”, a group of other customers, hereinafter“a group of nearest neighbors”is identified using an algorithm that examines each customer's previous spending across a plurality of different product categories and optionally, one or more demographic attributes, and then selects those customers whose attributes most nearly matches that of the target customer. The products purchased by these nearest neighbors that have not been purchased by the target customer are then ranked using a ranking algorithm that weights such purchased products based on the frequency of their purchase and the number of nearest neighbors purchasing such products. A product recommendation for the target customer is formed by selecting a predetermined number of the highest ranked products purchased by the nearest neighbors.</p> |
