SYSTEMS AND METHODS FOR PRIVATE LOCAL SPONSORED CONTENT

    公开(公告)号:US20200098011A1

    公开(公告)日:2020-03-26

    申请号:US16694691

    申请日:2019-11-25

    Applicant: Google LLC

    Abstract: Systems and methods are shown for providing private local sponsored content selection and improving intelligence models through distribution among mobile devices. This allows greater data gathering capabilities through the use of the sensors of the mobile devices as well as data stored on data storage components of the mobile devices to create predicted models while offering better opportunities to preserve privacy. Locally stored profiles comprising machine intelligence models may also be used to determine the relevance of the data gathered and in improving an aggregated model for identifying the relevance of data and the selection of sponsored content items. Distributed optimization is used in conjunction with privacy techniques to create the improved machine intelligence models. Publishers may also benefit from the improved privacy by protecting the statistics of type or volume of sponsored content items shown with publisher content.

    On-device query rewriting
    83.
    发明授权

    公开(公告)号:US10346493B1

    公开(公告)日:2019-07-09

    申请号:US15595019

    申请日:2017-05-15

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to on-device query annotating. In some implementations, a search query is received, and a mobile device identifies a reference to a particular entity and a reference to a category based on the query. A model that is stored on the mobile device and stores one or more facts that are associated with one or more entities is accessed. A subset of facts from among the facts that are stored in the model for the particular entity is selected. The search query is annotated based at least on one or more facts of the subset of facts that are stored in the model for the particular entity. The annotated search query is transmitted, from the mobile device to a search engine, for processing. A result of processing the annotated search query is received by the mobile device.

    Architecture for Responding to Visual Query
    85.
    发明申请

    公开(公告)号:US20190012334A1

    公开(公告)日:2019-01-10

    申请号:US16131004

    申请日:2018-09-13

    Applicant: GOOGLE LLC

    Inventor: David Petrou

    Abstract: A visual query such as a photograph, a screen shot, a scanned image, a video frame, or an image created by a content authoring application is submitted to a visual query search system. The search system processes the visual query by sending it to a plurality of parallel search systems, each implementing a distinct visual query search process. These parallel search systems may include but are not limited to optical character recognition (OCR), facial recognition, product recognition, bar code recognition, object-or-object-category recognition, named entity recognition, and color recognition. Then at least one search result is sent to the client system. In some embodiments, when the visual query is an image containing a text element and a non-text element, at least one search result includes an optical character recognition result for the text element and at least one image-match result for the non-text element.

    Facial recognition with social network aiding

    公开(公告)号:US10031927B2

    公开(公告)日:2018-07-24

    申请号:US14929958

    申请日:2015-11-02

    Applicant: Google LLC

    Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.

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