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    Extracting product facets from unstructured data
    1.
    发明授权
    Extracting product facets from unstructured data 有权

    公开(公告)号：US10235449B1

    公开(公告)日：2019-03-19

    申请号：US14866694

    申请日：2015-09-25

    Applicant: Amazon Technologies, Inc.

    Inventor： Krishnamurthy Koduvayur Viswanathan ,  Debprakash Patnaik

    IPC: G06Q30/00 ,  G06F17/30 ,  G06Q30/06 ,  G06F17/21

    Abstract: Disclosed is a platform for assessing queries related to a catalog entry. The platform is able to determine what attributes of the catalog entry the query is directed to using one or more language processing techniques. Once an attribute is identified, the platform may check for appropriate unit types and/or formats based on a category associated with the attribute. The platform then parses additional data associated with the catalog entry (or another catalog entry within the same browse node) to identify a set of potential values for the identified attribute. One or more rule sets may be used to filter the set of potential values to a single probable value, which may then be provided in a response to the query.

    ATTRIBUTE FILL USING TEXT EXTRACTION
    2.
    发明申请
    ATTRIBUTE FILL USING TEXT EXTRACTION 审中-公开
    使用文本提取的属性填充

    公开(公告)号：US20150378975A1

    公开(公告)日：2015-12-31

    申请号：US14314962

    申请日：2014-06-25

    Applicant: Amazon Technologies, Inc.

    Inventor： Jianhui Wu ,  Taibai Xu ,  Wenke Zhang ,  Rongzhou Shen ,  Krishnamurthy Koduvayur Viswanathan ,  Gabriel Parent ,  Jiwei Cao ,  Debprakash Patnaik

    IPC: G06F17/24

    CPC classification number: G06F17/243 ,  G06Q10/10 ,  G06Q30/06

    Abstract: Systems and methods involve filling missing attribute values from unstructured text. A computing device may provide a plurality of items, such as an item catalog for an electronic marketplace. When an item is found to have a missing attribute value, a plurality of existing values for that attribute is compiled by mining other items. Text associated with the item is parsed to determine possible values for the attribute. From those possible values, the most likely value is identified and the missing attribute value is populated with that value.

    Abstract translation: 系统和方法涉及从非结构化文本中填充缺失的属性值。 计算设备可以提供多个项目，诸如电子市场的项目目录。 当一个项目被发现具有缺少的属性值时，通过挖掘其他项目来编译该属性的多个现有值。 与该项相关联的文本被解析以确定属性的可能值。 从这些可能的值中，识别最可能的值，并使用该值填充缺少的属性值。

    Recommendation generation for infrequently accessed items
    5.
    发明授权
    Recommendation generation for infrequently accessed items 有权

    公开(公告)号：US09959563B1

    公开(公告)日：2018-05-01

    申请号：US14135176

    申请日：2013-12-19

    Applicant: Amazon Technologies, Inc.

    Inventor： Jianhui Wu ,  Debprakash Patnaik ,  Rui Wang

    IPC: G06Q30/06

    CPC classification number: G06Q30/0631

    Abstract: Systems and methods are disclosed for generating recommendation rules based on the attributes of items that are purchased together at a threshold rate. The attributes of the items may be extracted from item-detail content associated with the items. Using a count of the frequency with which pairs of items include pairs of attributes, a recommendation rule can be created that recommends items with particular attributes to users who access other items with particular attributes. Further, using the recommendation rules, items may be selected for recommendation to users who access an item that lacks historical access data from which to generate recommendations solving the “cold-start” problem. Moreover, negative rules may be generated based on historical access data and attributes of items purchased and/or not purchased together at a threshold rate to prevent the recommendation of particular items to users who access items associated with the negative rules.

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