Amazon Technologies, Inc.

Saurabh Nangia

Aaron James Dykstra

David Michael Hurley

Stephen Brent Ivie

Ashutosh Vishwas Kulkarni

Adam James Finkelstein

Scott James McKee

Adam Landry Bordelon

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.

Social media data matching

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.

Clustering and recommending items based upon keyword analysis

Growing community of inventors

Seattle, WA, United States of America

Saurabh Nangia