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    Enhanced brand matching using multi-layer machine learning
    1.
    发明授权
    Enhanced brand matching using multi-layer machine learning 有权

    公开(公告)号：US12112252B1

    公开(公告)日：2024-10-08

    申请号：US17327422

    申请日：2021-05-21

    Applicant: Amazon Technologies, Inc.

    Inventor： Xianshun Chen ,  Archiman Dutta

    IPC: G06N3/045 ,  G06F18/22 ,  G06V30/19

    CPC classification number: G06N3/045 ,  G06F18/22 ,  G06V30/19013

    Abstract: Devices, systems, and methods are provided for brand matching using multi-layer machine learning. A method may include generating, based on a first embedding vector and a second embedding vector as inputs to a twin neural network, a third embedding vector and a fourth embedding vector; generating, based on the first embedding vector and the second embedding vector as inputs to a difference neural network, a difference vector indicative of a difference between the first embedding vector and the second embedding vector; generating a concatenated vector by concatenating the third embedding vector with the fourth embedding vector and the difference vector; generating, based on the concatenated vector as an input to a feedforward neural network (FFN), a score between zero and one, the score indicative of a relationship between a first entity and a second entity.

    Substitute web content generation for detection and avoidance of automated agent interaction
    3.
    发明授权
    Substitute web content generation for detection and avoidance of automated agent interaction 有权

    公开(公告)号：US10565385B1

    公开(公告)日：2020-02-18

    申请号：US15688772

    申请日：2017-08-28

    Applicant: Amazon Technologies, Inc.

    Inventor： Lohith Ravi ,  Archiman Dutta

    IPC: G06F21/60 ,  H04L29/06 ,  G06F21/56 ,  G06F21/55

    Abstract: Online service providers may operate a rendering service for generating and providing substitute web content information for rendering substitute web content instead of authentic web content. The rendering service may obtain web content information for the authentic web content in response to receiving a request for web content. The rendering service may use the web content information to generate the substitute web content information. The substitute web content information is useable by the computing device to generate substitute web content that includes one or more visual elements resembling resource objects of the authentic web content. The visual elements are rendered, as a result of processing by the computing device, as image content instead of interactive objects.

    Evaluation of nodes
    4.
    发明授权
    Evaluation of nodes 有权
    节点评估

    公开(公告)号：US08977622B1

    公开(公告)日：2015-03-10

    申请号：US13621550

    申请日：2012-09-17

    Applicant: Amazon Technologies, Inc.

    Inventor： Archiman Dutta

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30327 ,  G06F17/30598

    Abstract: Disclosed are various embodiments for assessing the quality of a node that comprises a collection of items containing textual data. The homogeneity of the node can be related to its quality. Highly ranked descriptive terms used in the node are identified and quality score is calculated that provides a measure of the quality of the node. Additionally, a node can be examined for outliers to improve node quality.

    Abstract translation: 公开了用于评估包括包含文本数据的项目的集合的节点的质量的各种实施例。 节点的同质性可以与其质量有关。 识别在节点中使用的高排名的描述性术语，并且计算质量得分，其提供节点质量的度量。 另外，可以检查节点的异常值以提高节点质量。

    Taxonomy generation with statistical analysis and auditing
    7.
    发明授权
    Taxonomy generation with statistical analysis and auditing 有权

    公开(公告)号：US10909144B1

    公开(公告)日：2021-02-02

    申请号：US14640974

    申请日：2015-03-06

    Applicant: Amazon Technologies, Inc.

    Inventor： Archiman Dutta ,  Shoubhik Bhattacharya ,  Deepak Kumar Nayak ,  Avik Sinha

    IPC: G06F16/28 ,  G06F16/242

    Abstract: Methods, systems, and computer-readable media for taxonomy generation with automated analysis and auditing are disclosed. A primary classification is determined for a hierarchical taxonomy of items in a marketplace. The primary classification is selected from a plurality of terms describing items in the marketplace, and the primary classification is selected based at least in part on automated analysis of the terms. A plurality of secondary classifications are determined for the hierarchical taxonomy. The secondary classifications are selected from the terms describing the items in the marketplace, and the secondary classifications are selected based at least in part on automated analysis of the terms. The hierarchical taxonomy is modified based at least in part on feedback from a plurality of users. The feedback comprises one or more terms entered by one or more of the users to filter a set of items.

    Scalable hierarchical clustering
    8.
    发明授权
    Scalable hierarchical clustering 有权

    公开(公告)号：US11675766B1

    公开(公告)日：2023-06-13

    申请号：US16808162

    申请日：2020-03-03

    Applicant: Amazon Technologies, Inc.

    Inventor： Xianshun Chen ,  Kai Liu ,  Nikhil Anand Navali ,  Archiman Dutta

    IPC: G06F16/22 ,  G06F16/28 ,  G06F16/901

    CPC classification number: G06F16/2246 ,  G06F16/285 ,  G06F16/9024

    Abstract: A hierarchical representation of an input data set comprising similarity scores for respective entity pairs is generated iteratively. In a particular iteration, clusters are obtained from a subset of the iteration's input entity pairs which satisfy a similarity criterion, and then spanning trees are generated for at least some of the clusters. An indication of at least a representative pair of one or more of the clusters is added to the hierarchical representation in the iteration. The hierarchical representation is used to respond to clustering requests.

    System for classifying items based on user interactions
    10.
    发明授权
    System for classifying items based on user interactions 有权

    公开(公告)号：US10783167B1

    公开(公告)日：2020-09-22

    申请号：US15244320

    申请日：2016-08-23

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Archiman Dutta ,  Meghana Shivanand Rajamane

    IPC: G06F40/117 ,  G06F16/28 ,  H04L29/08 ,  G06F16/2457

    Abstract: Described are techniques for modifying or creating classification data used to automatically classify items in an online marketplace or catalog, based on user interaction data. For one or more classification labels that may be applied to an item, user interaction data indicative of a count of instances that the label was accessed, a length of time during which the label was accessed, counts of instances that parent and child labels were accessed, and counts of instances that the label was accessed via a search query may be determined. Based on the user interaction data, an importance score for the label may be determined. Labels having an importance score greater than or equal to a threshold value may be included in classification data and used for subsequent classification of items. Labels having an importance score less than a threshold may be excluded from the classification data.

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