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SYSTEMS AND METHODS FOR RECOMMENDING PRODUCTS VIA CROWDSOURCING AND DETECTING USER CHARACTERISTICS

机译:通过众筹和检测用户特征推荐产品的系统和方法

摘要

A computer-implemented method for recommending products based on crowdsourcing and detecting user characteristics. A characteristic of a first user is detected from an image of the first user. A plurality of products are ranked based on crowdsourced data received for a plurality of images depicting the first user in relation to the plurality of products. One or more relatively higher ranked products from the ranking of the plurality of products are associated with the detected characteristic of the first user.
机译:一种基于计算机的方法,用于基于众包并推荐用户特征来推荐产品。从第一用户的图像检测第一用户的特征。基于针对与多个产品相关的描绘第一用户的多个图像接收的众包数据对多个产品进行排名。来自多个产品的排名中的一个或多个相对较高排名的产品与检测到的第一用户的特征相关联。

著录项

  • 公开/公告号EP3017415A4

    专利类型

  • 公开/公告日2017-01-18

    原文格式PDF

  • 申请/专利权人 GLASSES.COM INC.;

    申请/专利号EP20140820019

  • 发明设计人 COON JONATHAN;

    申请日2014-07-02

  • 分类号G06Q30/06;G06Q50/10;

  • 国家 EP

  • 入库时间 2022-08-21 14:04:48

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