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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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公开(公告)号：US10163144B1
公开(公告)日：2018-12-25
申请号：US14479026
申请日：2014-09-05
Applicant: Amazon Technologies, Inc.
Inventor： Jianhui Wu , Krishnamurthy Koduvayur Viswanathan
Abstract: Techniques for extracting unstructured quantitative data may be provided. For example, a process may attempt to extract unstructured quantitative data to form structured data. This quantitative data may be used for searchable ordering of items in an electronic marketplace. For example, a process may attempt to find common attributes amongst several item descriptions. The common attributes may be recognized in the unstructured data, stored as structured data, and incorporated with a network page to allow the user to search for a particular item with a particular attribute. The desired attribute can help narrow a set of results from a search query.
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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。
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公开(公告)号：US10102195B2
公开(公告)日：2018-10-16
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
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.
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