METHODS, SYSTEMS AND TECHNIQUES FOR RANKING BLENDED CONTENT RETRIEVED FROM MULTIPLE DISPARATE CONTENT SOURCES

    公开(公告)号:US20170097933A1

    公开(公告)日:2017-04-06

    申请号:US14875219

    申请日:2015-10-05

    Applicant: Yahoo! Inc.

    CPC classification number: G06F16/24578 G06F16/24575 G06F16/9535

    Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to ranking content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include obtaining a plurality sets of content associated with a request from a person, each of which being from a separate data source, and applying a model for each set of content to obtain a set of features for each piece of content in the set of content, wherein the model is specific to a data source from where the set of content comes from. Each set of features for each piece of content of the set of content may be normalized with respect to a common space to generate a normalized feature set. Further, a score for each piece of content from a set of content may be estimated based on the normalized feature set for the piece of content, and based on the score of the piece of content, each piece of content of the plurality sets of content may be ranked.

    Method and system for discovery of user unknown interests based on supplemental content
    3.
    发明授权
    Method and system for discovery of user unknown interests based on supplemental content 有权
    基于补充内容发现用户未知兴趣的方法和系统

    公开(公告)号:US09270767B2

    公开(公告)日:2016-02-23

    申请号:US13835745

    申请日:2013-03-15

    Applicant: YAHOO! INC.

    CPC classification number: H04L67/22 H04L67/306

    Abstract: The present teaching relates to discovery of user unknown interests. In one example, information related to a user is retrieved from a user profile. The information indicates one or more known interests of the user. At least one known interest of the user is identified based on the information. One or more supplemental interests with respect to each identified at least one known interest of the user are identified. The one or more supplemental interests do not overlap with the one or more known interests of the user. Supplemental content associated with the one or more supplemental interests are identified. Each piece of content in the supplemental content is ranked. At least one piece of content in the supplemental content is selected based on the ranking. The selected at least one piece of supplemental content is used to discover unknown interest of the user.

    Abstract translation: 本教学涉及用户未知兴趣的发现。 在一个示例中,从用户简档中检索与用户相关的信息。 该信息指示用户的一个或多个已知兴趣。 基于该信息来识别用户的至少一个已知兴趣。 识别关于每个所识别的用户的至少一个已知兴趣的一个或多个补充兴趣。 一个或多个补充兴趣不与用户的一个或多个已知兴趣重叠。 识别与一个或多个补充利益相关联的补充内容。 补充内容中的每条内容都被排名。 基于排名选择补充内容中的至少一条内容。 所选择的至少一条补充内容用于发现用户的未知兴趣。

    METHOD AND SYSTEM FOR USER PROFILING VIA MAPPING THIRD PARTY INTERESTS TO A UNIVERSAL INTEREST SPACE
    4.
    发明申请
    METHOD AND SYSTEM FOR USER PROFILING VIA MAPPING THIRD PARTY INTERESTS TO A UNIVERSAL INTEREST SPACE 有权
    通过映射第三方对普通利益空间的用户分类的方法和系统

    公开(公告)号:US20140280350A1

    公开(公告)日:2014-09-18

    申请号:US13837357

    申请日:2013-03-15

    Applicant: YAHOO! INC.

    CPC classification number: G06F17/30867 G06F17/30702

    Abstract: Method, system, and programs for mapping data. Information related to users and their interests is obtained by a first application from a second application. An interest space is determined based on one or more sources of information, each of which provides a plurality of concepts. A data structure is created with respect to the interest space, where the data structure has a plurality of attributes each of the attributes corresponds to a concept in the interest space. One or more interests for each of the users based on information obtained from the second application. Each user interest corresponds to an attribute in the structure. A user profile is generated for each user by mapping the interests of the user to the corresponding attributes in the structure.

    Abstract translation: 用于映射数据的方法,系统和程序。 与第二个应用程序的第一个应用程序获得与用户及其兴趣有关的信息。 基于一个或多个信息源确定兴趣空间,每个信息源提供多个概念。 相对于兴趣空间创建数据结构,其中数据结构具有多个属性,每个属性对应于兴趣空间中的概念。 基于从第二应用获得的信息,每个用户的一个或多个兴趣。 每个用户兴趣对应于结构中的一个属性。 通过将用户的兴趣映射到结构中的对应属性,为每个用户生成用户简档。

    Method and system for user profiling via mapping third party interests to a universal interest space
    5.
    发明授权
    Method and system for user profiling via mapping third party interests to a universal interest space 有权
    通过将第三方利益映射到普遍利益空间来进行用户分析的方法和系统

    公开(公告)号:US09430572B2

    公开(公告)日:2016-08-30

    申请号:US13837357

    申请日:2013-03-15

    Applicant: YAHOO! INC.

    CPC classification number: G06F17/30867 G06F17/30702

    Abstract: Method, system, and programs for mapping data. Information related to users and their interests is obtained by a first application from a second application. An interest space is determined based on one or more sources of information, each of which provides a plurality of concepts. A data structure is created with respect to the interest space, where the data structure has a plurality of attributes each of the attributes corresponds to a concept in the interest space. One or more interests for each of the users based on information obtained from the second application. Each user interest corresponds to an attribute in the structure. A user profile is generated for each user by mapping the interests of the user to the corresponding attributes in the structure.

    Abstract translation: 用于映射数据的方法,系统和程序。 与第二个应用程序的第一个应用程序获得与用户及其兴趣有关的信息。 基于一个或多个信息源确定兴趣空间,每个信息源提供多个概念。 相对于兴趣空间创建数据结构,其中数据结构具有多个属性,每个属性对应于兴趣空间中的概念。 基于从第二应用获得的信息,每个用户的一个或多个兴趣。 每个用户兴趣对应于结构中的一个属性。 通过将用户的兴趣映射到结构中的相应属性,为每个用户生成用户简档。

    METHOD AND SYSTEM FOR DISCOVERY OF USER UNKNOWN INTERESTS
    6.
    发明申请
    METHOD AND SYSTEM FOR DISCOVERY OF USER UNKNOWN INTERESTS 有权
    发现用户未知兴趣的方法和系统

    公开(公告)号:US20140280548A1

    公开(公告)日:2014-09-18

    申请号:US13835745

    申请日:2013-03-15

    Applicant: YAHOO! INC.

    CPC classification number: H04L67/22 H04L67/306

    Abstract: A method and system for exploring a list of user interests beyond the currently known user interests by defining a distance metrics in the interest space is disclosed. The new method and system target for exploration, items of interests which are close in proximity to the current set of user interests, thereby greatly improving the chance that one of the exploration items will be liked by the user.

    Abstract translation: 公开了一种用于通过在感兴趣空间中定义距离度量来探索超出当前已知用户兴趣的用户兴趣列表的方法和系统。 用于勘探的新方法和系统目标,靠近当前用户兴趣集合的兴趣项目,从而大大提高了用户希望探索项目的机会。

    CONTENT RECOMMENDATION
    7.
    发明申请

    公开(公告)号:US20170124200A1

    公开(公告)日:2017-05-04

    申请号:US14930218

    申请日:2015-11-02

    Applicant: Yahoo! Inc.

    CPC classification number: G06F16/9535

    Abstract: Briefly, embodiments of methods and/or systems for performing content recommendation are disclosed. For one embodiment, as an example, estimating relevance may include computing an inner product of latent factors corresponding to a plurality of users and features of one or more content items.

    METHOD AND SYSTEM FOR MEASURING USER ENGAGEMENT USING CLICK/SKIP IN CONTENT STREAM
    8.
    发明申请
    METHOD AND SYSTEM FOR MEASURING USER ENGAGEMENT USING CLICK/SKIP IN CONTENT STREAM 审中-公开
    使用内容流中的点击/跳跃来测量用户参与的方法和系统

    公开(公告)号:US20140278308A1

    公开(公告)日:2014-09-18

    申请号:US13836556

    申请日:2013-03-15

    Applicant: YAHOO! INC.

    Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

    Abstract translation: 测量用户参与度的方法,系统和程序。 在一个示例中,获得基于关于多个内容的用户活动而生成的模型。 识别关于一条多条内容的用户活动的一个或多个实际出现。 基于该模型来估计关于该内容的用户活动的一个或多个未来出现。 基于用户活动的一个或多个实际出现以及用户活动的一个或多个未来出现来计算相对于该内容的用户参与度分数。

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