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    Search result image selection techniques
    1.
    发明授权
    Search result image selection techniques 有权

    公开(公告)号：US11176191B2

    公开(公告)日：2021-11-16

    申请号：US16254032

    申请日：2019-01-22

    Applicant: Amazon Technologies, Inc.

    Inventor： Zohar Barzelay ,  Brad Bowman ,  Michael Donoser ,  Nikhil Garg ,  Matthieu Guillaumin

    IPC: G06F16/53 ,  G06F16/538 ,  G06F16/54 ,  G06F16/9535 ,  G06F16/2457 ,  G06N3/08 ,  G06Q30/06 ,  G06F3/0485

    Abstract: Techniques for prioritizing images associated with an item to display an appropriate image based on a query are described herein. For example, an attention score for an item attribute in an image of an item may be generated based at least in part on a model that uses one or more images of the item. The item attribute for the item associated with a query may be obtained. A plurality of items may be determined based at least in part on the item attribute being associated with the plurality of items where an individual item of the plurality of items includes a plurality of images of the item. The plurality of images of the individual item may be ranked based at least in part on corresponding attention scores associated with each image of the plurality of images.

    Relation graph optimization using inconsistent cycle detection
    2.
    发明授权
    Relation graph optimization using inconsistent cycle detection 有权

    公开(公告)号：US10885452B1

    公开(公告)日：2021-01-05

    申请号：US15193883

    申请日：2016-06-27

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikhil Garg

    IPC: G06N7/00 ,  G06N5/04 ,  G06F16/93 ,  G06F16/901

    Abstract: A first graph is generated from a text data set, with graph nodes representing named entities in the data set and edges representing relationships between the named entities, and with edge weights indicating confidence levels. At least one cycle of the graph may be designated as inconsistent using a rule set. An edge may be selected for deletion from the first graph based on its presence in an inconsistent cycle, the cycle's weight, and/or on the edge weight. A representation of relationships indicated in the modified graph is provided programmatically.

    FEATURE-BASED SEARCH
    4.
    发明申请
    FEATURE-BASED SEARCH 审中-公开

    公开(公告)号：US20200320118A1

    公开(公告)日：2020-10-08

    申请号：US16908464

    申请日：2020-06-22

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikhil Garg ,  Toma Belenzada ,  Sabine Sternig ,  Brad Bowman ,  Zohar Barzelay

    IPC: G06F16/56 ,  G06F16/583 ,  G06N5/04

    Abstract: Various embodiments of systems and methods allow a system to identify subsets of items by mixing and matching identified features in one or more other items. A system can identify features of items in an item database. The system can then calculate “fingerprints” of these features which are vectors describing the characteristics of the features. The system can present a collection of items and a user can select an item of the collection. The user can then select positive features to include in a search and/or negative features to include in the search. The system can then do a search of the database for items that contain features similar to those positive features and do not contain features similar to those negative features. The user can select features through a variety of means.

    Three dimensional object part retrieval
    5.
    发明授权
    Three dimensional object part retrieval 有权

    公开(公告)号：US12259948B1

    公开(公告)日：2025-03-25

    申请号：US16834736

    申请日：2020-03-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikhil Garg ,  Bojan Pepik ,  Matthieu Guillaumin

    IPC: G06F18/2413 ,  G06N3/08 ,  G06N20/00 ,  G06T7/10 ,  G06T17/00

    Abstract: Devices and techniques are generally described for retrieving three dimensional part models. Two-dimensional (2D) image data representing an object with at least a first part and a second part may be received. A first machine learning model may be used to generate a first shape embedding representing the first part and a second shape embedding representing the second part. A first 3D model stored in a non-transitory computer-readable memory that represents the first part may be determined based at least in part on the first shape embedding. A second 3D model stored in the non-transitory computer-readable memory that represents the second part may be determined based at least in part on the second shape embedding.

    Feature-based search
    7.
    发明授权
    Feature-based search 有权

    公开(公告)号：US11586666B2

    公开(公告)日：2023-02-21

    申请号：US16908464

    申请日：2020-06-22

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikhil Garg ,  Toma Belenzada ,  Sabine Sternig ,  Brad Bowman ,  Zohar Barzelay

    IPC: G06F16/583 ,  G06F16/56 ,  G06N5/046 ,  G06F3/04842

    Abstract: Various embodiments of systems and methods allow a system to identify subsets of items by mixing and matching identified features in one or more other items. A system can identify features of items in an item database. The system can then calculate “fingerprints” of these features which are vectors describing the characteristics of the features. The system can present a collection of items and a user can select an item of the collection. The user can then select positive features to include in a search and/or negative features to include in the search. The system can then do a search of the database for items that contain features similar to those positive features and do not contain features similar to those negative features. The user can select features through a variety of means.

    Feature based image detection
    8.
    发明授权
    Feature based image detection 有权

    公开(公告)号：US11341660B1

    公开(公告)日：2022-05-24

    申请号：US16834958

    申请日：2020-03-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikhil Garg ,  Brad Bowman ,  Toma Belenzada ,  Michael Donoser

    IPC: G06T7/33 ,  G06Q30/06 ,  G06V10/10

    Abstract: System and methods are provided for improved visual search systems that can use local features of images. The search system provides a user interface that enables a user to select areas or portions of an image to search on the selected features and the overall appearance of the image. The search system further provides customized user interfaces to exclude certain portions of images from the search algorithms. The search system can be used to detect potential intellectual property risks associated with items in an electronic catalog.

    Feature-based search
    9.
    发明授权
    Feature-based search 有权

    公开(公告)号：US10747807B1

    公开(公告)日：2020-08-18

    申请号：US16126868

    申请日：2018-09-10

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikhil Garg ,  Toma Belenzada ,  Sabine Sternig ,  Brad Bowman ,  Zohar Barzelay

    IPC: G06F16/583 ,  G06F16/56 ,  G06N5/04 ,  G06F3/0484

    Abstract: Various embodiments of systems and methods allow a system to identify subsets of items by mixing and matching identified features in one or more other items. A system can identify features of items in an item database. The system can then calculate “fingerprints” of these features which are vectors describing the characteristics of the features. The system can present a collection of items and a user can select an item of the collection. The user can then select positive features to include in a search and/or negative features to include in the search. The system can then do a search of the database for items that contain features similar to those positive features and do not contain features similar to those negative features. The user can select features through a variety of means.

    SEARCH RESULT IMAGE SELECTION TECHNIQUES
    10.
    发明申请
    SEARCH RESULT IMAGE SELECTION TECHNIQUES 审中-公开

    公开(公告)号：US20200233898A1

    公开(公告)日：2020-07-23

    申请号：US16254032

    申请日：2019-01-22

    Applicant: Amazon Technologies, Inc.

    Inventor： Zohar Barzelay ,  Brad Bowman ,  Michael Donoser ,  Nikhil Garg ,  Matthieu Guillaumin

    IPC: G06F16/538 ,  G06F16/2457 ,  G06F16/54 ,  G06F16/9535 ,  G06Q30/06 ,  G06N3/08

    Abstract: Techniques for prioritizing images associated with an item to display an appropriate image based on a query are described herein. For example, an attention score for an item attribute in an image of an item may be generated based at least in part on a model that uses one or more images of the item. The item attribute for the item associated with a query may be obtained. A plurality of items may be determined based at least in part on the item attribute being associated with the plurality of items where an individual item of the plurality of items includes a plurality of images of the item. The plurality of images of the individual item may be ranked based at least in part on corresponding attention scores associated with each image of the plurality of images.

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