Scale-permuted machine learning architecture

    公开(公告)号:US12079695B2

    公开(公告)日:2024-09-03

    申请号:US17061355

    申请日:2020-10-01

    Applicant: Google LLC

    CPC classification number: G06N20/00 G06F11/3495 G06N3/04

    Abstract: A computer-implemented method of generating scale-permuted models can generate models having improved accuracy and reduced evaluation computational requirements. The method can include defining, by a computing system including one or more computing devices, a search space including a plurality of candidate permutations of a plurality of candidate feature blocks, each of the plurality of candidate feature blocks having a respective scale. The method can include performing, by the computing system, a plurality of search iterations by a search algorithm to select a scale-permuted model from the search space, the scale-permuted model based at least in part on a candidate permutation of the plurality of candidate permutations.

    Granular Cluster Generation for Real-Time Processing

    公开(公告)号:US20230267176A1

    公开(公告)日:2023-08-24

    申请号:US18167297

    申请日:2023-02-10

    Applicant: Google LLC

    CPC classification number: G06F18/23211 G06F16/906 G06F16/215 G06F18/23213

    Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

    EVENT-BASED CONTENT DISTRIBUTION
    13.
    发明申请

    公开(公告)号:US20230052230A1

    公开(公告)日:2023-02-16

    申请号:US17974204

    申请日:2022-10-26

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes storing, in a data structure, data specifying a future live event. An opportunity to provide the specified content to a user at a user device is identified. It is determined that (i) a time of the opportunity is between a start time and an end time for the live event, (ii) that a user device is located in a same geographic region as the live event based on geographical data provided by the user device, and (iii) the user is interested in the live event based on attributes of the user matching attributes of other users that were identified as interested in the live event (e.g., based on evaluation of online search data). The content is provided for display at the user device.

    CONTENT PLACEMENT CRITERIA EXPANSION
    14.
    发明申请

    公开(公告)号:US20190034544A1

    公开(公告)日:2019-01-31

    申请号:US16145369

    申请日:2018-09-28

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of providing information via a computer network are provided. A data processing system can identify a cluster that includes a plurality of online content items having a semantic or user similarity. The data processing system determines a plurality of cluster placement criteria of the cluster, and receives content configured for display with a web page. The content can be associated with the cluster based on the semantic or user similarity. A cluster placement criterion of the plurality of cluster placement criteria can be selected based on a quality metric of the selected cluster placement criterion, and the selected cluster placement criterion can be provided as a supplemental criterion used to select the content for display with the web page.

    EVENT-BASED CONTENT DISTRIBUTION
    15.
    发明申请

    公开(公告)号:US20180070120A1

    公开(公告)日:2018-03-08

    申请号:US15810943

    申请日:2017-11-13

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes storing, in a data structure, data specifying a future live event. An opportunity to provide the specified content to a user at a user device is identified. It is determined that (i) a time of the opportunity is between a start time and an end time for the live event, (ii) that a user device is located in a same geographic region as the live event based on geographical data provided by the user device, and (iii) the user is interested in the live event based on attributes of the user matching attributes of other users that were identified as interested in the live event (e.g., based on evaluation of online search data). The content is provided for display at the user device.

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