E-commerce recommendation system and method

    公开(公告)号:US10223727B2

    公开(公告)日:2019-03-05

    申请号:US14518431

    申请日:2014-10-20

    Applicant: OATH INC.

    Abstract: Disclosed herein is item recommender that uses a model trained using a combination of at least visual item similarity training data and social activity training data. The model may be used, for example, to identify a set of recommended products having similar visual features as a given product. The set of recommended products may be presented to the user along with the given product. The model may be continuously updated using feedback from users to identify the features considered to be important to the users relative to other features.

    Image-based faceted system and method

    公开(公告)号:US10102227B2

    公开(公告)日:2018-10-16

    申请号:US15924923

    申请日:2018-03-19

    Applicant: OATH INC.

    Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.

    On-line product related recommendations

    公开(公告)号:US11151630B2

    公开(公告)日:2021-10-19

    申请号:US14325192

    申请日:2014-07-07

    Applicant: Oath Inc.

    Inventor: JenHao Hsiao Jia Li

    Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate or support one or more processes and/or operations for one or more on-line recommendations, such as product-related recommendations, for example.

    Visual recognition using social links

    公开(公告)号:US10204090B2

    公开(公告)日:2019-02-12

    申请号:US15651822

    申请日:2017-07-17

    Applicant: OATH INC.

    Abstract: System, method and architecture for providing improved visual recognition by modeling visual content, semantic content and an implicit social network representing individuals depicted in a collection of content, such as visual images, photographs, etc., which network may be determined based on co-occurrences of individuals represented by the content, and/or other data linking the individuals. In accordance with one or more embodiments, using images as an example, a relationship structure may comprise an implicit structure, or network, determined from co-occurrences of individuals in the images. A kernel jointly modeling content, semantic and social network information may be built and used in automatic image annotation and/or determination of relationships between individuals, for example.

    Automatically creating at-a-glance content

    公开(公告)号:US10678992B2

    公开(公告)日:2020-06-09

    申请号:US16418221

    申请日:2019-05-21

    Applicant: OATH INC.

    Inventor: Bin Ni Jia Li

    Abstract: Generating notifications comprising text and image data for client devices with limited display screens is disclosed. An image to be included in the notification is resized and reshaped using image processing techniques. The resized image is further analyzed to identify optimal portions for placing the text data. The text data can also be analyzed and shortened for including at the identified portion of resized image to generate a notification. The resulting notification displays the text and image data optimally within the limited screen space of the client device so that a user observing the notification can obtain the information at a glance.

    Automatically creating at-a-glance content

    公开(公告)号:US10318611B2

    公开(公告)日:2019-06-11

    申请号:US15661105

    申请日:2017-07-27

    Applicant: OATH INC.

    Inventor: Bin Ni Jia Li

    Abstract: Generating notifications comprising text and image data for client devices with limited display screens is disclosed. An image to be included in the notification is resized and reshaped using image processing techniques. The resized image is further analyzed to identify optimal portions for placing the text data. The text data can also be analyzed and shortened for including at the identified portion of resized image to generate a notification. The resulting notification displays the text and image data optimally within the limited screen space of the client device so that a user observing the notification can obtain the information at a glance.

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