公开(公告)号：US10515400B2

公开(公告)日：2019-12-24

申请号：US15259832

申请日：2016-09-08

Applicant: Adobe Inc.

Inventor： Balaji Krishnamurthy ,  Raghavender Goel ,  Nikaash Puri

IPC: G06Q30/00 ,  G06F17/30 ,  G06Q30/06 ,  G06F17/27 ,  G06N3/04 ,  G06N5/04 ,  G06N3/08

Abstract: Learning vector-space representations of items for recommendations using word embedding models is described. In one or more embodiments, a word embedding model is used to produce item vector representations of items based on considering items interacted with as words and items interacted with during sessions as sentences. The item vectors are used to produce item recommendations similar to currently or recently viewed items.