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    • 3. 发明授权
    • Systems and methods for trending and relevance of phrases for a user
    • 针对用户的短语的趋势和相关性的系统和方法
    • US09135211B2
    • 2015-09-15
    • US13332090
    • 2011-12-20
    • Peter SternHilary MasonMichael Dewar
    • Peter SternHilary MasonMichael Dewar
    • G06F15/173G06F17/30G06Q50/00
    • G06F15/173G06F17/30G06Q50/01
    • The present disclosure is directed to a method for identifying which phrases are trending across an aggregate of users that are relevant to a specific user. The method may include receiving, by a server, identification of a user. The server may identify a plurality of phrases that are trending upwards based on velocity of clicks to content containing, related to or associated with the plurality of phrases. The server may identify trending or temporally popular phrases based on aggregating multiple users' interactions with an aggregate of content. The server may determine a relevance score for each phrase of the plurality of phrases that are trending upwards based on identification of the user and actions of the user on content associated with each phrase, such as user clicking on content identifying or related to each phrase. The server may identify one or more phrases of the plurality of phrases based on relevance score.
    • 本公开涉及一种用于识别与特定用户相关的跨越整个用户的哪些短语趋向于的方法。 该方法可以包括由服务器接收用户的标识。 服务器可以基于包含与多个短语相关或关联的内容的点击速度来识别向上趋势的多个短语。 服务器可以基于聚合多个用户与内容的聚合的交互来识别趋势或临时流行的短语。 服务器可以基于用户的识别和用户对与每个短语相关联的内容的动作(例如用户点击识别或与每个短语相关的内容)来确定正在向上趋势的多个短语中的每个短语的相关性得分。 服务器可以基于相关性得分识别多个短语中的一个或多个短语。
    • 6. 发明授权
    • Systems and methods for identifying phrases in digital content that are trending
    • 用于识别正在趋向的数字内容中的短语的系统和方法
    • US09128896B2
    • 2015-09-08
    • US13332062
    • 2011-12-20
    • Hilary MasonMichael Dewar
    • Hilary MasonMichael Dewar
    • G06F15/173G06Q10/00
    • G06F15/173G06Q10/00
    • The present disclosure is directed to systems and methods to identify trending or temporally popular phrases based on aggregating multiple users' interactions with an aggregate of content. A server may receive identification of a plurality of clicks of encoded uniform resource locator (URL) links. The server may identify, for each of the plurality of clicks, in content identified from decoding the encoded URL links, a plurality of phrases that correspond to a predetermined set of keywords. The server may determine a velocity of clicks on content corresponding to each phrase of the plurality of phrases and identify a trend in one or more phrases of the plurality of phrases based on the velocity of clicks.
    • 本公开涉及用于基于聚合多个用户与内容集合的交互来识别趋势或临时流行的短语的系统和方法。 服务器可以接收多个点击编码的统一资源定位符(URL)链接的标识。 对于多个点击中的每一个,服务器可以识别从解码编码的URL链接所识别的内容中的多个短语,其对应于预定的一组关键字。 服务器可以确定与多个短语中的每个短语相对应的内容上的点击速度,并且基于点击速度来识别多个短语中的一个或多个短语中的趋势。
    • 10. 发明授权
    • Systems and methods for relevance scoring of a digital resource
    • 数字资源相关评分的系统和方法
    • US09111211B2
    • 2015-08-18
    • US13332019
    • 2011-12-20
    • Hilary MasonTodd Levy
    • Hilary MasonTodd Levy
    • G06F17/00G06N5/00G06Q50/00G06F17/30
    • G06N5/00G06F17/30864G06Q50/01
    • The present disclosure is directed to systems and methods that score content, URLs, domains, phrases or any entity based on an expected relevance to an individual user which may be based on that user's previous engagement with digital resources. A server receives identification of a plurality of actions of a user, which may include a click by the user on a link associated with a digital resource of a plurality of digital resources. The server may receive identification of actions of the user to share one or more digital resources of the plurality of digital resources. The server may identify a plurality of keywords from content of the plurality of digital resources, classify patterns from the actions of the users and the keywords and generate, based on the pattern classification, a relevance score responsive to receiving a user identifier and a digital resource keyword.
    • 本公开涉及基于与个人用户的预期相关性来评估内容,URL,域,短语或任何实体的系统和方法,其可以基于该用户之前与数字资源的接合。 服务器接收用户的多个动作的识别,其可以包括用户在与多个数字资源的数字资源相关联的链路上的点击。 服务器可以接收用户的动作的识别,以共享多个数字资源中的一个或多个数字资源。 服务器可以从多个数字资源的内容中识别多个关键字,从用户和关键字的动作中分类模式,并且基于模式分类,生成响应于接收到用户标识符和数字资源的相关性得分 关键词。