SYSTEM AND METHOD FOR USER MODEL BASED ON APP BEHAVIOR

    公开(公告)号:US20170185901A1

    公开(公告)日:2017-06-29

    申请号:US14982997

    申请日:2015-12-29

    Applicant: Yahoo! Inc.

    CPC classification number: H04L67/22 G06F16/00 G06F16/9535 G06N5/04 H04L67/20

    Abstract: Systems and methods are provided for building a user model. The system includes a processor and a non-transitory storage medium accessible to the processor. The processor is configured to obtain user data from a database, where the user data include user behavior for a plurality of apps installed on one or more user terminals. The processor selects at least one rating parameters using the user data, where the at least one rating parameters indicates a rating of relevant app usage. The system builds the user model based on a rating matrix comprising the at least one rating parameters.

    Bidding Systems and Methods For Minimizing The Cost Of Field Experiments Using Advertisement Exchanges
    2.
    发明申请
    Bidding Systems and Methods For Minimizing The Cost Of Field Experiments Using Advertisement Exchanges 审中-公开
    招标系统和方法,以最小化使用广告交易的现场实验的成本

    公开(公告)号:US20170018009A1

    公开(公告)日:2017-01-19

    申请号:US14798090

    申请日:2015-07-13

    Applicant: Yahoo! Inc.

    Inventor: Ayman FARAHAT

    CPC classification number: G06Q30/0275

    Abstract: Systems and methods are provided for minimizing the cost of field experiments using advertisement exchanges. The system includes circuitry configured to obtain a bidding opportunity to deliver a message from an exchange system, where the bidding opportunity comprises an impression candidate and user information associated with the impression candidate. The system includes circuitry configured to obtain at least one bidding parameters from the database, where the at least one bidding parameters indicates a target audience of the message. The system includes circuitry configured to assign a random bid amount to the bidding opportunity based on the at least one bidding parameters, where the random bid amount at least partially indicates a treatment intensity of the message.

    Abstract translation: 提供了系统和方法,以最小化使用广告交换的现场实验的成本。 该系统包括被配置为获得投标机会以从交换系统传递消息的电路,其中投标机会包括印象候选者和与该印象候选者相关联的用户信息。 该系统包括被配置为从数据库获得至少一个出价参数的电路,其中至少一个出价参数指示消息的目标受众。 所述系统包括被配置为基于所述至少一个投标参数为所述招标机会分配随机出价金额的电路,其中所述随机出价金额至少部分地指示所述消息的处理强度。

    SYSTEMS AND METHODS FOR TRACKING BRAND REPUTATION AND MARKET SHARE
    3.
    发明申请
    SYSTEMS AND METHODS FOR TRACKING BRAND REPUTATION AND MARKET SHARE 审中-公开
    跟踪品牌声誉和市场份额的系统和方法

    公开(公告)号:US20160125450A1

    公开(公告)日:2016-05-05

    申请号:US14533898

    申请日:2014-11-05

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0242 G06Q30/0201

    Abstract: Systems and methods for tracking brand reputation and market share are provided. The system includes one or more devices having a processor and a non-transitory storage medium accessible to the hardware processor. The device is programmed to obtain an awareness index at a plurality of levels at least partially based on the brand data. The device is programmed to obtain a favorability index as a ratio of user numbers based on the brand data. The device is programmed to obtain a branding index by combining the awareness index and the favorability index. The device is programmed to obtain an affinity score for a group of users at least partially based on the brand data and recommend the group of users based on the affinity score to increase the branding index.

    Abstract translation: 提供跟踪品牌声誉和市场份额的系统和方法。 该系统包括具有可由硬件处理器访问的处理器和非暂时性存储介质的一个或多个设备。 该设备被编程为至少部分地基于品牌数据获得多个级别的意识索引。 该设备被编程为以基于品牌数据的用户数量的比率获得有利指数。 该设备被编程为通过结合意识指数和有利指数来获得品牌指数。 该设备被编程为至少部分地基于品牌数据获得一群用户的亲和度分数,并且基于亲和度分数推荐该用户组以增加品牌指数。

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