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    DIGITAL RECEIPTS ECONOMY
    1.
    发明公开
    DIGITAL RECEIPTS ECONOMY 审中-公开
    ÖKONOMIEDIGITALER QUITTUNGEN

    公开(公告)号：EP3014553A4

    公开(公告)日：2017-01-04

    申请号：EP14818548

    申请日：2014-05-20

    Applicant: INTEL CORP

    Inventor： WOUHAYBI RITA H ,  BECKWITH RICHARD T ,  SIA JOSE K JR ,  COPPERNOLL TIMOTHY G ,  BALASUNDARAM SAI P ,  NACHMAN LAMA ,  BROTMAN RYAN S ,  SHAW DAVID I

    IPC: G06Q30/02 ,  G06Q30/06

    CPC classification number: G06Q30/0204 ,  G06Q10/087 ,  G06Q30/02 ,  G06Q30/0207 ,  G06Q30/06 ,  G06Q40/12

    Abstract: Techniques to extract data from computer-readable purchase records of a user, cluster the items of interest based on descriptions of the items, and associate descriptive keywords to the clusters, where the keywords represent interests of the user. One or more processes and/or functions may be performed on extracted data, including cluster-specific processes and/or function, including user-based, user interest-based, and/or crowd-based processes and/or function, which may include shopping pattern extraction, item or types of items availability based on time, location and other contextual metric, pricing data of items and expected pricing changes over time and seasonal variations, identification of user preferences, and/or shopping recommendations.

    Abstract translation: 从用户的计算机可读购买记录中提取数据的技术，基于对项目的描述聚集所关心的项目，并将描述性关键词与关键字表示用户的兴趣相关联。 可以对提取的数据执行一个或多个处理和/或功能，包括基于用户的，基于用户兴趣的和/或基于人群的过程和/或功能的特定于群集的过程和/或功能，其可以包括 购物模式提取，基于时间，位置和其他上下文度量的项目可用性的项目或类型，项目的定价数据和期望的价格变化以及季节变化，用户偏好的确定和/或购物建议。

    NON-MONETARY BIDDING BASED ON BIDDER-SPECIFIC DATA
    2.
    发明公开
    NON-MONETARY BIDDING BASED ON BIDDER-SPECIFIC DATA 审中-公开
    基于投标人特定数据的非货币投标

    公开(公告)号：EP3011532A4

    公开(公告)日：2016-12-14

    申请号：EP13887120

    申请日：2013-06-22

    Applicant: INTEL CORP

    Inventor： SIA JOSE K JR ,  ANDERSON KENNETH ,  SALVADOR ANTHONY

    IPC: G06Q30/08

    CPC classification number: G06Q30/08

    Abstract: Technologies are presented that provide automated non-monetary bidding based on bidder-specific data. A method includes receiving, from a bid acceptance server, an information request associated with a bidder; collecting and analyzing data regarding one or more data points associated with the bidder and requested in the information request; packaging analysis results into a bid; and providing the bid to the bid acceptance server. The data points may be limited based on input from the bidder. The data analyzed may include electronically-available data associated with the bidder. The method may be performed at the bid acceptance server, at a device of a bidder, or at a combination of the two. Submitted bids may be ranked by the bid acceptance server according to a given algorithm.

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