PREDICTING CONTENT AND CONTEXT PERFORMANCE BASED ON PERFORMANCE HISTORY OF USERS
    2.
    发明申请
    PREDICTING CONTENT AND CONTEXT PERFORMANCE BASED ON PERFORMANCE HISTORY OF USERS 有权
    基于用户性能的预测内容和背景性能

    公开(公告)号:US20130132391A1

    公开(公告)日:2013-05-23

    申请号:US13734723

    申请日:2013-01-04

    Applicant: Apple Inc.

    Abstract: Systems and methods are provided for selecting contexts for new invitational content and invitational content for new contexts. In particular, a performance history of delivered invitational content in known contexts is combined with similarity measures for the delivered invitational content, with respect to a new invitational content, to generate a list of potential contexts for the new invitational content. Similarly, a performance history of in known contexts with delivered invitational content can combined with similarity measures for known contexts, with respect to a new context, to generate a list of potential content for the new context. Further, a combination of these methods can be used to pair new invitational content with new contexts.

    Abstract translation: 提供了系统和方法,用于为新的上下文选择新的邀请内容和邀请内容的上下文。 特别地,在已知上下文中传递的邀请内容的性能历史与相对于新的邀请内容的传递的邀请内容的相似性度量相结合,以生成新的邀请内容的潜在上下文的列表。 类似地,具有递送的邀请内容的已知上下文中的性能历史可以与关于新上下文的已知上下文的相似性度量相结合,以生成用于新上下文的潜在内容的列表。 此外,可以使用这些方法的组合来将新的邀请内容与新的上下文配对。

    RECOMMENDING MEDIA ITEMS BASED ON PURCHASE HISTORY
    6.
    发明申请
    RECOMMENDING MEDIA ITEMS BASED ON PURCHASE HISTORY 审中-公开
    基于采购历史的推荐媒体项目

    公开(公告)号:US20140324965A1

    公开(公告)日:2014-10-30

    申请号:US13871573

    申请日:2013-04-26

    Applicant: APPLE INC.

    CPC classification number: H04L67/306 G06Q30/0255 G06Q30/0631

    Abstract: A media item recommendation can be based on application purchase data. Application purchase data of a population of users can be used to create application preference clusters that represent unique application preference profiles. Media preference data of the same population of users can be used to create media preference clusters that represent unique media preference profiles. A preference relationship between an application preference cluster and a media preference cluster can be identified based on the number of members of the media preference cluster that are also members of the application preference cluster. Upon receiving a recommendation request from a user, the user's application preference profile can be determined based on the user's application purchase data. A media item can then be recommended based on a media preference cluster that has a preference relationship with an application preference cluster that represents the application preference profile of the user.

    Abstract translation: 媒体项目建议可以基于应用程序购买数据。 可以使用用户群体的应用程序购买数据来创建表示唯一应用程序偏好配置文件的应用程序首选项集群。 可以使用相同用户群体的媒体偏好数据来创建表示唯一媒体偏好配置文件的媒体偏好集群。 可以根据也是应用程序首选项集群成员的媒体首选项集群的成员数量,来标识应用程序首选项集群和媒体首选项集群之间的偏好关系。 在从用户接收到推荐请求时,可以基于用户的应用购买数据来确定用户的应用偏好简档。 然后可以基于与表示用户的应用程序偏好配置文件的应用程序首选项集群具有偏好关系的媒体首选项集群来推荐媒体项目。

    Delivery of apps in a media stream

    公开(公告)号:US10708391B1

    公开(公告)日:2020-07-07

    申请号:US14814287

    申请日:2015-07-30

    Applicant: Apple Inc.

    Abstract: Embedding a reduced-content application bundle (a “reduced app bundle”) such as a video overlay reduced app bundle into a media stream, and launching that reduced app bundle over a network connection without first performing a substantial downloading and installation of the software on the device is disclosed.

    PRESENTING CONTENT PACKAGES BASED ON AUDIENCE EXCLUSION
    9.
    发明申请
    PRESENTING CONTENT PACKAGES BASED ON AUDIENCE EXCLUSION 审中-公开
    根据排除规则提供内容包

    公开(公告)号:US20160110764A1

    公开(公告)日:2016-04-21

    申请号:US14885465

    申请日:2015-10-16

    Applicant: Apple Inc.

    Abstract: The present technology maintains a profile for each user known to a content delivery system and selectively excludes delivery of certain content to some users based on past performance. The user profile includes a listing of all completed conversion actions associated with the invitational content presented to the user. When presented with a request for invitational content, the system identifies the set of all possible invitational content for the given context. Based on the user profile, the system removes from the set all invitational content for which the user has completed the associated conversion action to create a user-specific set of invitational content. The system selects an invitational content from the user-specific set of invitational content to include in the content package presented to the user.

    Abstract translation: 本技术维护内容传送系统已知的每个用户的简档,并且基于过去的性能选择性地排除某些用户的传送。 用户简档包括与呈现给用户的邀请内容相关联的所有完成的转换动作的列表。 当呈现邀请内容的请求时,系统识别给定上下文的所有可能邀请内容的集合。 基于用户简档,系统从设置中删除用户已经完成相关联的转换动作的所有邀请内容,以创建用户特定的邀请内容集合。 系统从用户特定的邀请内容集合中选择邀请内容以包括在呈现给用户的内容包中。

    Selection and delivery of invitational content based on prediction of user interest
    10.
    发明授权
    Selection and delivery of invitational content based on prediction of user interest 有权
    基于用户兴趣的预测,选择和传送邀请内容

    公开(公告)号:US09183247B2

    公开(公告)日:2015-11-10

    申请号:US13938880

    申请日:2013-07-10

    Applicant: Apple Inc.

    CPC classification number: G06F17/30386 G06F17/30185 G06F17/30867 G06Q30/02

    Abstract: Systems and methods are provided for selecting invitational content for users based on their short-term and their long-term features. In operation, responsive to a request from a user terminal for a content package a journal of events associated with a user. Thereafter, short-term and long-term features in the journal are identified and tagged with pre-defined tags indicating a type of content associated with the patterns. The tags are then used to select invitational content by selecting content based on tags for the identified short-term features associated with a threshold level of activity or tags for the identified long-term features.

    Abstract translation: 提供系统和方法,用于根据用户的短期和长期特征为用户选择邀请内容。 在操作中,响应于来自用户终端对于内容包的与用户相关联的事件日志的请求。 此后,日记中的短期和长期特征被识别并用预定义的标签标记,指示与模式相关联的内容的类型。 然后,标签通过基于用于所标识的短期特征的标签选择内容来选择邀请内容,所述标签与所识别的长期特征的活动或标签的阈值水平相关联。

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