System and method for determining cross-pollination product recommendations

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising:

• determining an anchor product type for an anchor item;
• determining at least one associated product type for the anchor product type, comprising:
• determining at least one complementary product type for the anchor product type, wherein the at least one complementary product type is determined from a second product-type group that is different from a first product-type group comprising the anchor product type;
• determining an anchor-product-type-name vector for an anchor-product-type name of the anchor product type;
• 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;
• 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
• 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;
• 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, wherein the at least one recommended item is determined based at least in part on historical transaction data associated with the anchor item;
• and
• transmitting, via a computer network, the at least one associated item to be displayed on a user interface for a user.