CPC G06Q 30/0282 (2013.01) [G06F 17/16 (2013.01); G06F 18/2148 (2023.01); G06F 18/23 (2023.01); G06F 40/30 (2020.01); G06N 3/084 (2013.01); G06Q 30/0202 (2013.01)] | 25 Claims |
1. A computer-implemented method for recommending business factors to a merchant, said method comprising:
training a network to identify related merchant-vendor pairs by:
embedding, by a first encoder, a plurality of merchant descriptions to a vector space to obtain a plurality of merchant vectors, each merchant description corresponding to a vendor;
embedding, by a second encoder, each corresponding vendor to the vector space to obtain a plurality of vendor vectors;
calculating a relation metric for each description-vendor pair;
training a neural network with the description-vendor pairs and the corresponding relation metrics to predict whether a new vendor and a new merchant description are related;
training the first encoder to embed related merchant descriptions to similar regions in the vector space; and
training the second encoder to embed related vendors to the similar regions in the vector space;
receiving a request for recommended business factors from a device;
receiving merchant data associated with a merchant from the device, the merchant data comprising vendor data associated with the merchant;
embedding the merchant data to a vector space to obtain a merchant vector, the vector space comprising a plurality of other vectors associated with other merchants;
calculating, using the trained network, a relation metric between the merchant vector and a vector of the plurality of other vectors, the vector being associated with a second merchant, the relation metric representing a degree of relation between the merchant and the second merchant;
determining that the relation metric is above a pre-defined threshold value; and
when it is determined that the relation metric is above the pre-defined threshold value, sending merchant data associated with the second merchant to the device, the merchant data associated with the second merchant comprising business factors associated with the second merchant.
|