Clustering of geographical content

    公开(公告)号:US10747788B2

    公开(公告)日:2020-08-18

    申请号:US15332838

    申请日:2016-10-24

    Applicant: Oath Inc.

    Abstract: A method and apparatus for determining geographic clusters of geographical content may include computation of a first evaluation metric. The first evaluation metric may be descriptive of a distribution of geo-location points within a cluster of a plurality of geographic clusters. A second evaluation metric may also be computed that is descriptive of coherence of the plurality of geographic clusters. Geo-location points of the geographical content may be clustered based, at least in part on the first and second evaluation metrics.

    Systems and methods for establishing and utilizing a hierarchical Bayesian framework for ad click through rate prediction

    公开(公告)号:US10559004B2

    公开(公告)日:2020-02-11

    申请号:US14874153

    申请日:2015-10-02

    Applicant: Oath Inc.

    Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N−1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

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