Asymmetric Rankers for Vector-Based Recommendation

摘要

An asymmetric system for obtaining recommendations is disclosed. A reference magnitude may be obtained from a seed and/or a user model. The reference magnitude may be utilized to adjust the magnitude of candidate vectors that represent one or more items in a multi-dimensional vector space. This permits an item to receive credit for a popularity up to a certain point. The dot products between the adjusted candidate vectors and the seed vector may be obtained and, in some configurations, ranked. The highest dot products may correspond to items that are preferred to be recommended according to an implementation.

主权项

1. A computer-implemented method, comprising:
receiving an indication of a vector space comprising a plurality of vectors, wherein each vector in the vector space represents an item; receiving a seed, wherein the seed corresponds to a request for a recommendation; obtaining a reference magnitude; adjusting a magnitude of each of a plurality of candidate vectors in the vector space based on the reference magnitude, wherein each of the plurality of candidate vectors represents the item in the vector space; generating, by a processor, a plurality of dot products, wherein each of the plurality of dot products is between one of the plurality of candidate vectors with adjusted magnitude and a seed vector; providing at least one of the plurality of candidate vectors based on at least one of the plurality of dot products.