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公开(公告)号:US11941680B1
公开(公告)日:2024-03-26
申请号:US16551537
申请日:2019-08-26
Applicant: Amazon Technologies, Inc.
Inventor: Stephen Brent Ivie , Ashutosh Vishwas Kulkarni , Saurabh Nangia , Adam Landry Bordelon , Aaron James Dykstra , David Michael Hurley , Adam James Finkelstein , Scott James McKee
IPC: G06Q30/0601 , G06Q30/06 , H04L9/40
CPC classification number: G06Q30/0631 , G06Q30/06 , G06Q30/0641 , H04L63/08
Abstract: Social network postings, including text, images or other media, may provide valuable information regarding a user of the social network with which the postings may be associated. With the authorization of the user, and upon authentication by the social network, an online marketplace may access the social network postings and extract data therefrom, and market one or more recommended items to the user based on the extracted data, which may include color pallets or texture pallets derived from photographs included in the postings.
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公开(公告)号:US10395297B1
公开(公告)日:2019-08-27
申请号:US13675333
申请日:2012-11-13
Applicant: Amazon Technologies, Inc.
Inventor: Stephen Brent Ivie , Ashutosh Vishwas Kulkarni , Saurabh Nangia , Adam Landry Bordelon , Aaron James Dykstra , David Michael Hurley , Adam James Finkelstein , Scott James McKee
Abstract: Social network postings, including text, images or other media, may provide valuable information regarding a user of the social network with which the postings may be associated. With the authorization of the user, and upon authentication by the social network, an online marketplace may access the social network postings and extract data therefrom, and market one or more recommended items to the user based on the extracted data, which may include color pallets or texture pallets derived from photographs included in the postings.
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公开(公告)号:US10095771B1
公开(公告)日:2018-10-09
申请号:US14954475
申请日:2015-11-30
Applicant: Amazon Technologies, Inc.
Inventor: Aaron James Dykstra , Saurabh Nangia , Stephen B. Ivie , David Michael Hurley
Abstract: A multi-level approach for generating suggestions and/or recommendations associated with one or more items is provided. A group of related items may be identified, for example, by generating a collaborative filtering graph or other graph that includes items and connections between the items. Description data associated with items included in the group may be evaluated in order to determine respective keywords associated with the items and/or a list of common keywords representative of the group of items or a subset of the group of items. Based at least in part upon the list of common keywords, at least one suggestion may be generated.
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