公开(公告)号：US11429889B2

公开(公告)日：2022-08-30

申请号：US15595866

申请日：2017-05-15

Applicant: Amazon Technologies, Inc.

Inventor： Charles Shearer Dorner ,  Robert Yuji Haitani ,  Sven Daehne

IPC: G06N20/00 ,  G06Q30/02 ,  G06F16/2458 ,  G06Q10/10

Abstract: Techniques described herein include systems and methods for evaluating an unsupervised machine learning model. In some embodiments, the system identifies item-to-item similarity values based on historical transaction data. The system may also generate collection data for a number of users based on the historical transaction data. Similarity matrices may be created for each pair of users that include rows associated with a first collection and columns associated with a second collection. Each data field in the similarity matrix may indicate an item-to-item similarity value as identified by the system. In some embodiments, a similarity score may be calculated for the user pair based on the item-to-item similarity values included in the similarity matrix. In some embodiments, the system may generate a graphical summary representation of the similarity matrix.

公开(公告)号：US10657176B1

公开(公告)日：2020-05-19

申请号：US16437649

申请日：2019-06-11

Applicant: Amazon Technologies, Inc.

Inventor： Dominick Khanh Pham ,  Sven Daehne ,  Mike Dodge ,  Janet Galore

IPC: H04N9/80 ,  G06F16/783 ,  G06F16/732 ,  G06F16/78

Abstract: A video tagging system that can generate tags corresponding to associations of object-related keywords mentioned in a video to time instances in the video is described. The video tagging system identifies a particular object associated with a video. Using a transcription of audio content within the video, the video tagging system determines a keyword mentioned in the audio content that is associated with the object and a time instance within a timeline of the video when the keyword is mentioned. The video tagging system generates a tag that associates the keyword with the time instance and sends an indication of the tag to a user device. Once the video is displayed on the user device, the user can search for the keyword. This prompts the user device to display a marker indicating the time instance when the keyword is mentioned.

公开(公告)号：US11120490B1

公开(公告)日：2021-09-14

申请号：US16432841

申请日：2019-06-05

Applicant: Amazon Technologies, Inc.

Inventor： Dominick Khanh Pham ,  Sven Daehne ,  Mike Dodge ,  Janet Galore

IPC: H04N9/80 ,  G06Q30/06 ,  G11B27/34 ,  G10L25/78 ,  G11B27/031 ,  G06F16/783 ,  G06F16/78 ,  G06K9/00

Abstract: A video segmenting system identifies a product for sale in a video and determines one or more attributes of audio and video content within the video. The video segmenting system determines a video segment within the video that is associated with the product for sale, based on the attributes. The video segmenting system generates a tag that associates the product for sale with the video segment and sends an indication of the tag to a user device. Once the video is played on a user device, the user device detects a search query about the product for sale. Using the tag, the user device can display a marker on the user device corresponding to the location of the video segment within the video.

公开(公告)号：US20180330270A1

公开(公告)日：2018-11-15

申请号：US15595866

申请日：2017-05-15

Applicant: Amazon Technologies, Inc.

Inventor： Charles Shearer Dorner ,  Robert Yuji Haitani ,  Sven Daehne

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06F17/30536 ,  G06F17/30542 ,  G06Q10/10 ,  G06Q30/0201

Abstract: Techniques described herein include systems and methods for evaluating an unsupervised machine learning model. In some embodiments, the system identifies item-to-item similarity values based on historical transaction data. The system may also generate collection data for a number of users based on the historical transaction data. Similarity matrices may be created for each pair of users that include rows associated with a first collection and columns associated with a second collection. Each data field in the similarity matrix may indicate an item-to-item similarity value as identified by the system. In some embodiments, a similarity score may be calculated for the user pair based on the item-to-item similarity values included in the similarity matrix. In some embodiments, the system may generate a graphical summary representation of the similarity matrix.

公开(公告)号：US11170817B2

公开(公告)日：2021-11-09

申请号：US16858928

申请日：2020-04-27

Applicant: Amazon Technologies, Inc.

Inventor： Dominick Khanh Pham ,  Sven Daehne ,  Janet Galore ,  Damon Jon Ganem

IPC: H04N9/80 ,  G11B27/036 ,  G06T7/246 ,  H04N21/81 ,  H04N21/44 ,  H04N21/478

Abstract: Embodiments herein describe a video editor that can identify and track objects (e.g., products) in a video. The video editor identifies a particular object in one frame of the video and tracks the location of the object in the video. The video editor can update a position of an indicator that tracks the location of the object in the video. In addition, the video editor can identify an identification (ID) of the object which the editor can use to suggest annotations that provide additional information about the object. Once modified, the video is displayed on a user device, and when the viewer sees an object she can is interested in, she can pause the video which causes the indicator to appear. The user can select the indicator which prompts the user device to display the annotations corresponding to the object.

公开(公告)号：US10699750B1

公开(公告)日：2020-06-30

申请号：US16427161

申请日：2019-05-30

Applicant: Amazon Technologies, Inc.

Inventor： Dominick Khanh Pham ,  Sven Daehne ,  Janet Galore ,  Damon Jon Ganem

IPC: H04N9/80 ,  G11B27/036 ,  G06T7/246 ,  H04N21/81 ,  H04N21/44 ,  H04N21/478

Abstract: Embodiments herein describe a video editor that can identify and track objects (e.g., products) in a video. The video editor identifies a particular object in one frame of the video and tracks the location of the object in the video. The video editor can update a position of an indicator that tracks the location of the object in the video. In addition, the video editor can identify an identification (ID) of the object which the editor can use to suggest annotations that provide additional information about the object. Once modified, the video is displayed on a user device, and when the viewer sees an object she can is interested in, she can pause the video which causes the indicator to appear. The user can select the indicator which prompts the user device to display the annotations corresponding to the object.