SYSTEM AND METHOD FOR DETERMINING CROSS-POLLINATION PRODUCT RECOMMENDATIONS
A computer-implemented method including determining an anchor product type for an anchor item. The method further can include determining at least one associated product type for the anchor product type. Determining the at least one associated product type for the anchor product type further can inc...
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Main Authors | , , , , , , , |
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Format | Patent |
Language | English |
Published |
01.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A computer-implemented method including determining an anchor product type for an anchor item. The method further can include determining at least one associated product type for the anchor product type. Determining the at least one associated product type for the anchor product type further can include: (a) determining at least one complementary product type for the anchor product type; (b) determining an anchor-product-type-name vector for an anchor-product-type name of the anchor product type; (c) determining a respective complementary-product-type-name vector for a respective complementary-product-type name of each of the at least one complementary product type; (d) determining a respective product-type-name similarity score between the anchor-product-type-name vector and the respective complementary-product-type-name vector for each of the at least one complementary product type; and (e) determining the at least one associated product type based at least in part on a product-type-level threshold and the respective product-type-name similarity score for each of the at least one complementary product type. The method also can include determining at least one associated item for the anchor item based at least in part on the at least one associated product type and at least one recommended item for the anchor item. The method further can include transmitting, via a computer network, the at least one associated item to be displayed on a user interface for a user. Other embodiments are described. |
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Bibliography: | Application Number: US202418427118 |