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公开(公告)号：US11080596B1
公开(公告)日：2021-08-03
申请号：US15623291
申请日：2017-06-14
Applicant: Amazon Technologies, Inc.
Inventor： Roshan Harish Makhijani , Soo-Min Pantel , Sanjeev Jain , Gaurav Chanda
Abstract: The present disclosure is directed to filtering co-occurrence data. In one embodiment, a machine learning model can be trained. An output of an intermediate structure of the machine learning model (e.g., an output of an internal layer of a neural network) can be used as a representation of an event. Similarities between representations of events can be determined and used to generate, augment, or modify co-occurrence data.
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公开(公告)号：US11100558B1
公开(公告)日：2021-08-24
申请号：US15600540
申请日：2017-05-19
Applicant: Amazon Technologies, Inc.
Inventor： Gaurav Chanda , Sanjeev Jain
Abstract: A recommendation service that utilizes a machine learning algorithm trained with association vectors is provided. To allow for filtering of unrelated items, a recommendation service generates vectors that represent a quantization of items within a browse node that are considered complementary or a substitute of a selected item. Using an association vector, a machine learning algorithm can be trained to determine whether a particular item recommendation is considered noise, complementary or a substitute. Thereafter, the recommendation service can utilize the trained machine learning algorithm to filter a set of recommendations to remove items considered to be noise or to prioritize items identified as complementary or a substitute.
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公开(公告)号：US10467307B1
公开(公告)日：2019-11-05
申请号：US15210847
申请日：2016-07-14
Applicant: Amazon Technologies, Inc.
Inventor： Gaurav Chanda , Srinivas Vasu Chappidi , Saurabh Wadwekar
IPC: G06F16/00 , G06F16/9535 , G06F16/248 , G06F16/901 , G06F16/2457
Abstract: Features are provided for the analysis of collections of data and automatic grouping of data having certain similarities. A collection of data regarding user interactions with item-specific content can be analyzed. The analysis can be used to identify groups of items that are of interest to groups of similar users and/or to identify groups of users with demonstrated interests in groups of similar items. Data may be analyzed in a “bottom-up” manner in which correlations within the data are discovered in an iterative manner, or in a “top-down” manner in which desired top-level groups are specified at the beginning of the process. A bottom-up process may also be distributed among multiple devices or processors to more efficiently discover groups when using large collections of data.
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Patent Agency Ranking
公开(公告)号：US09864784B1
公开(公告)日：2018-01-09
申请号：US14629570
申请日：2015-02-24
Applicant: Amazon Technologies, Inc.
Inventor： Gaurav Chanda
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30864
Abstract: Disclosed are various embodiments for classifying search queries. A computing device identifies a user account associated with a submission of a search query to an electronic commerce application. The computing device then identifies a network page provided by the electronic commerce application, wherein the network page is requested with the user account. Subsequently, the computing device classifies the search query based at least in part on the requested network page.
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公开(公告)号：US08751333B1
公开(公告)日：2014-06-10
申请号：US13767761
申请日：2013-02-14
Applicant: Amazon Technologies, Inc.
Inventor： Gaurav Chanda
IPC: G06Q30/00
CPC classification number: G06Q30/0255
Abstract: A system is provided that extrapolates item characteristics from items considered to possess a characteristic to items not known to possess the characteristic. The system may include an item data repository that stores data representing physical items. These items can include first items having a characteristic and second items not known to have the characteristic. A characteristic extrapolation module can extrapolate the characteristic from at least some of the first items to at least some of the second items based at least in part on the strength of associations between the plurality of items. A recommendations module may provide item recommendations based at least partly on the characteristic of the items.
Abstract translation: 提供一种系统，其将项目特征从被认为具有特征的项目外推到不知道具有特征的项目。 系统可以包括存储表示物理项目的数据的项目数据存储库。 这些项目可以包括具有特征的第一项目和不知道具有特征的第二项目。 特征外推模块可以至少部分地基于多个项目之间的关联强度，将特征从至少一些第一项目外推到至少一些第二项目。 建议模块可以至少部分地基于项目的特征来提供项目建议。
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公开(公告)号：US11151608B1
公开(公告)日：2021-10-19
申请号：US16588680
申请日：2019-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Xuan Guo , Gaurav Chanda
Abstract: Techniques are provided for determining that an item should be provided for presentation to a user based on an item concept relatedness score. For example, a computer system may partition a plurality of items into a plurality of item concepts, whereby each item is assigned to one and only one item concept. The computer system may receive a list of co-selected items, whereby each item of the list is assigned to an item concept. Based at least in part on this list, the system may determine an item concept relatedness score between a first item concept and a second item concept of the plurality of item concepts. The computer system may then receive a selection of a first item assigned to a first item concept. Based at least in part on the item concept relatedness score, the system may provide the second item for presentation to a user.
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公开(公告)号：US09965526B1
公开(公告)日：2018-05-08
申请号：US14738081
申请日：2015-06-12
Applicant: Amazon Technologies, Inc.
Inventor： Gaurav Chanda
IPC: G06F17/30
CPC classification number: G06F17/30539 , G06F17/30572
Abstract: Techniques for determining multiple item comparisons may be provided. For example, a system may monitor user interaction of a plurality of users that includes viewing and ordering items. The system may determine one or more items that compete, such that ordering a first item in the competing category of items lowers a probability that the user will also order a second item. The system may determine a subset of the competing items and providing information about the comparison and/or items for presentation to a user.
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公开(公告)号：US20180081882A1
公开(公告)日：2018-03-22
申请号：US15827122
申请日：2017-11-30
Applicant: Amazon Technologies, Inc.
Inventor： Gaurav Chanda
IPC: G06F17/30
CPC classification number: G06F16/24578 , G06F16/951
Abstract: Disclosed are various embodiments for classifying search queries. A computing device identifies a user account associated with a submission of a search query to an electronic commerce application. The computing device then identifies a network page provided by the electronic commerce application, wherein the network page is requested with the user account. Subsequently, the computing device classifies the search query based at least in part on the requested network page.
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