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    • 5. 发明申请
    • GENERATING CLUSTERS OF SIMILAR USERS FOR ADVERTISEMENT TARGETING
    • 生成用于广告目标的类似用户的群集
    • US20130124298A1
    • 2013-05-16
    • US13297117
    • 2011-11-15
    • Huajing LiYanxin ShiRohit DhawanRichard Bill SimRong YanDavid Dawei Ye
    • Huajing LiYanxin ShiRohit DhawanRichard Bill SimRong YanDavid Dawei Ye
    • G06Q30/02
    • G06Q30/0241
    • A social networking system may identify a first set of users as part of a training cluster and identify a second set of users that is similar to the first set of users for purposes of targeting advertisements related to the advertiser. Using past engagement history (e.g., click-through rates), demographic information, and keywords associated with the training cluster of users, a social networking system may generate a training model specific to the training cluster. Confidence scores may be used to identify similar users across the total population of users of the social networking system for creating a targeting cluster of users for the advertisement. A revenue sharing scheme may be used induce page administrators to increase their fan base by enabling advertisers to target advertisements to users that have expressed interest in pages associated with the page administrators.
    • 社交网络系统可以将第一组用户识别为训练集群的一部分,并且识别类似于第一组用户的第二组用户,用于定位与广告商相关的广告。 使用过去的参与历史(例如,点击率),人口统计信息和与用户的训练群组相关联的关键词,社交网络系统可以生成训练集群特有的训练模型。 置信度分数可用于识别社交网络系统的用户总数的类似用户,以创建用于广告的用户的目标群集。 可以使用收益分享计划,引导页面管理员通过使广告商能够将广告定向到对与页面管理员相关联的页面感兴趣的用户来增加他们的粉丝基础。