REACH AND FREQUENCY FOR ONLINE ADVERTISING BASED ON DATA AGGREGATION AND COMPUTING

    公开(公告)号:US20170213241A1

    公开(公告)日:2017-07-27

    申请号:US15007125

    申请日:2016-01-26

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0246 G06Q30/0201 G06Q50/01

    Abstract: An audience analysis system determines and predicts reach and frequency information of online users. The system receives real-time ad impression data from ad publishers or other data providers as well as report requests from advertisers asking for the reach and frequency information. The reach and frequency information of online users describes characteristics of online users that are reached by the advertisers. Matched users and unmatched users are identified via online cookies. Atomic data units are generated to allow feature computation and reach prediction for online users in a more efficient way. Machine learning models are trained to help predict the reach and frequency of unmatched users and to generate reports. The audience analysis system provides the advertisers with the generated reports, responding to the report requests.

Patent Agency Ranking