CN101517529B - 用于产生针对社交网络的成员而个性化的新鲜事的源的系统及方法 - Google Patents

用于产生针对社交网络的成员而个性化的新鲜事的源的系统及方法 Download PDF

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CN101517529B
CN101517529B CN200780034021.3A CN200780034021A CN101517529B CN 101517529 B CN101517529 B CN 101517529B CN 200780034021 A CN200780034021 A CN 200780034021A CN 101517529 B CN101517529 B CN 101517529B
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安德鲁·博斯沃思
克里斯·考克斯
鲁希·桑吉维
敕·罗摩克里希南
亚当·丹吉洛
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Abstract

本发明提供用于产生针对基于web的社交网络的成员而个性化的基于动态关系的内容的系统及方法。使基于web的社交网络的一个或一个以上成员的至少一个动作与所述一个或一个以上成员的关系数据相关联以产生合并数据。识别与所述合并数据相关联的一个或一个以上要素并使用所述要素来聚集所述合并数据。另外的例示性方法包括根据仿射性来给所述经聚集的合并数据加权以产生针对所述基于web的社交网络的所述成员而个性化的基于动态关系的内容。

Description

用于产生针对社交网络的成员而个性化的新鲜事的源的系统及方法
本发明大体来说涉及社交连网，且更特定来说涉及用于产生针对基于web的社交网络的成员而个性化的基于动态关系的内容的系统及方法。 
背景技术
随着社交连网的日趋流行，每一成员可获得的信息已不计其数。因此，成员可受到大量其不感兴趣的信息的烦扰。此外，成员可发现自己无法以及时且有效的方式找到确实使其感兴趣的信息，例如关于其好友及其社区的信息。因此需要用于产生针对基于web的社交网终的成员而被个性化的基于动态关系的内容的系统及方法。 
发明内容
本发明提供用于产生针对基于web的社交网络的成员而被个性化的基于动态关系的内容的系统及方法。一种例示性方法包括：存储基于web的社交网络的一个或一个以上成员的至少一个动作；存取所述一个或一个以上成员的关系数据；使所述至少一个动作与所述关系数据相关联以产生合并数据；识别与所述合并数据相关联的一个或一个以上要素；及基于所述一个或一个以上要素聚集所述合并数据以产生经聚集的合并数据。另外的例示性方法包括根据仿射性来给所述经聚集的合并数据加权以产生针对基于web的社交网络的成员而个性化的基于动态关系的内容。 
一种用于产生针对基于web的社交网络的成员而被个性化的基于动态关系的内容的例示性系统包括：经配置以用于存储基于web的社交网络的一个或一个以上成员的至少一个动作的数据库；配置有所述基于web的社交网络的一个或一个以上成员的关系数据的数据库；配置有关联组件的处理模块，所述关联组件使所述至少一个动作与所述关系数据相关联以产生合并数据；配置有识别组件的所述处理模块，所述识别组件识别与所述合并数据相关联的一个或一个以上要素；及配置有聚集组件的所述处理模块，所述聚集组件基于所述一个或一个以上要素聚集所述合并数据以产生经聚集的合并数据。另一例示性系统包括配置有仿射性组件的处理模块，所述仿射性组件根据仿射性来给所述经聚集的合并数据加权以产生针对基于web的社交网络的成员而个性化的基于动态关系的内容。 
附图说明
图1图解说明用于产生针对基于web的社交网络的成员而被个性化的基于动态关系的内容的例示性环境； 
图2是例示性内容引擎的方块图； 
图3是例示性处理模块的方块图； 
图4是所产生的针对基于web的社交网络的成员而被个性化的基于动态关系的内容的例示性项目屏幕快照；且 
图5是用于产生针对基于web的社交网络的成员而被个性化的基于动态关系的内容的例示性过程的流程图。 
具体实施方式
本发明提供用于产生针对基于web的社交网络的成员而被个性化的基于动态关系的内容的系统及方法。基于web的社交网络的一个或一个以上成员的至少一个动作与所述一个或一个以上成员的关系数据相关联以产生合并数据。识别并使用与所述合并数据相关联的一个或一个以上要素来聚集所述合并数据。另外的例示性方法包括根据仿射性来给所述经聚集的合并数据加权以产生针对基于web的社交网络的成员而个性化的基于动态关系的内容。 
图1图解说明用于产生针对基于web的社交网络的成员而被个性化的基于动态关系的内容的例示性环境。一个或一个以上成员(例如成员装置102处的成员)经由网络104耦合到基于web的社交网络106。 
基于web的社交网络106可包括提供社交连网服务、交流服务、约会服务等的任何实体。例如，基于web的社交网络106可托管这样一种网站，其允许一个或一个以上成员(例如成员装置102处的成员)经由所述网站相互交流。在一种情况下，与成员装置102相关联的第一成员可经由与基于web的社交网络106相关联的社交连网网站和与一个或一个以上第二成员装置相关联的一个或一个以上第二成员交流。所述社交连网网站为成员提供与和所述成员就读(例如)同一大学的一个或一个以上第二成员联络或再联络的机会。 
根据例示性实施例，可为每一成员提供一个或一个以上网络或社区。例如，所述成员可拥有：由根据所就读的大学而分组的人组成的网络；由根据成员所居住的地理位置而分组的人组成的网络；由根据共同的工作领域而分组的人组成的网络；由根据特定行业而分组的人组成的网络，等等。 
内容引擎108耦合到基于web的社交网络106。内容引擎108利用关于一个或一个以上成员(例如成员装置102处的成员)的动作及关系数据来产生针对基于web的社交网络106的成员而被个性化的基于动态关系的内容。根据某些实施例，成员装置102可直接耦合到内容引擎108。根据其它实施例，内容引擎108包括与基于web 的社交网络106相关联的模块。 
现在参照图2，图中显示例示性内容引擎的方块图。例示性内容引擎108包括动作数据库202、关系数据库204、处理模块206、存储数据库208及发布器210。 
动作数据库202可存储基于web的社交网络106(图1)上的一个或一个以上成员动作或活动。例如，动作数据库202可以一个或一个以上内容项目来存储成员动作，例如新鲜事、其它成员的简档及/或经由基于web的社交网络106提供的电子邮件。可将任何类型的成员动作存储在动作数据库202中。 
根据例示性实施例，动作数据可表示基于web的社交网络106上一特定时间周期(例如最近一小时、六小时、一天、一周或一个月)内的特定成员动作。例如，成员A的动作数据可表示成员A在最近一小时内的动作：向另一成员发送电子邮件、选择与三个其它成员参加会议及向成员A的简档添加照片。 
提供关系数据库204以用于存储与所述成员中的每一者(例如与成员装置102(图1)相关联的成员)相关联的关系数据。根据例示性实施例，关系数据库204包括基于web的社交网络106的每一成员的成员简档。当成员加入基于web的社交网络106时，可为所述成员产生成员简档。所述成员可经由所述成员简档或通过任何其它方式规定与一个或一个以上其它成员的关系。所述成员可向与所述成员有关系的一个或一个以上其它成员指派分类、群组、网络等等。例如，所述关系可规定所述成员为好友、好友的好友、家庭成员、校友、前女友等等。可规定任何类型的关系。此外，所述成员可根据一个或一个以上分类来将其它成员分组。当所述成员更新成员简档中的信息(例如添加额外的联系人或好友)时，关系数据库204中的成员简档可随所添加的信息而被更新。 
根据某些实施例，提供处理模块206以用于实施如本文中结合图3所描述的数个功能。除其它功能外，处理模块206还负责使成员动作与成员关系数据相关联以产生合并数据。处理模块206识别与所述合并数据相关联的一个或一个以上要素并基于所述一个或一个以上要素聚集所述合并数据以产生经聚集的合并数据。在又一实施例中，处理模块206根据仿射性来给所述经聚集的合并数据加权以产生针对基于web的社交网络106的成员而个性化的基于动态关系的内容。可提供存储数据库208以用于存储所产生的针对基于web的社交网络106的成员而被个性化的基于动态关系的内容。 
可提供发布器210以用于发布所产生的针对基于web的社交网络106的成员而个性化的基于动态关系的内容。根据一个实施例，发布器210包括服务器，所述服务器经配置以向已针对其个性化所产生的基于动态关系的内容的成员发送所述内容。在又一实施例中，发布器210经配置以用预定的布置风格来格式化内容以便呈现给基于web的社交网络106的成员。 
虽然将例示性内容引擎108描述为由各种组件(动作数据库202、关系数据库204、处理模块206、存储数据库208及发布器210)组成，但更少或更多的组件可组成内 容引擎108且仍归属于各实施例的范围内。 
图3是例示性处理模块的方块图。如结合图2所描述，根据一个实施例，处理模块206包括关联组件302、识别组件304、聚集组件306及仿射性组件308。 
关联组件302经配置以使一个或一个以上成员动作与所述成员的关系数据相关联以产生合并数据。例如，成员A的简档可包含成员A的十五个好友及成员A的好友的另外二十个好友(“好友的好友”)。关联组件302将使成员A的动作与成员A的好友、好友的好友及/或其它成员相关联。例如，关联组件302可使成员A加入专注于“绿日(Green Day)”乐队的群组的动作与成员A的好友中也属于这一乐队的好友相关联。在此实例中，所产生的合并数据可呈“成员A加入绿日群组，成员A的好友皮特(Pete)和比尔(Bill)也在此群组中”的形式。 
可提供识别组件304来作为处理模块206的一部分以识别与所述合并数据相关联的一个或一个以上要素。例如，针对呈“成员A加入绿日群组，成员A的好友皮特(Pete)和比尔(Bill)也在此群组中”的形式的合并数据，识别组件304可识别要素“绿日”。根据某些实施例，识别组件304可识别与关系数据相关联的动作的任何要素(以形成合并数据)。例如，识别组件304可基于动作类型、所涉及成员、媒体或内容类型及/或其多个要素来识别要素。如本文中所描述，使用所识别的要素来聚集合并数据。 
根据某些实施例，提供聚集组件306来基于一个或一个以上要素聚集合并数据以产生经聚集的合并数据。例如，聚集组件306可利用要素“绿日”来聚集合并数据“成员A加入绿日群组，成员A的好友皮特(Pete)和比尔(Bill)也在此群组中”与共享同一要素“绿日”的其它合并数据。在此实例中，聚集组件306做出的聚集可产生呈“成员A及成员A的社区的五十个其它成员加入绿日群组”的形式的经聚集的合并数据。聚集组件306可利用其它聚集参数或准则且仍在本文中所请求的实施例范围内。 
根据某些实施例，提供仿射性组件308以根据仿射性给聚合合并数据加权，以产生针对基于web的社交网络106的成员而个性化的基于动态关系的内容。基于一个或一个以上成员活动及相关联的关系，过去、现在或将来内容的仿射性可由仿射性组件308确定。当确定仿射性组件308用以给经聚集的合并数据加权的仿射性时，可考虑任何类型的变量。在又一实施例中，可利用仿射性组件308来为呈现给成员的内容指派次序。例如，赋予关于成员B与成员C解除关系的新鲜事低于关于成员A的兄弟喜得贵子的新鲜事的等级，且因此，关于成员B与成员C解除关系的新鲜事可出现在关于成员A的兄弟喜得贵子的新鲜事下方。 
图4是所产生的针对基于web的社交网络的成员而被个性化的基于动态关系的内容的例示性项目屏幕快照。例示性屏幕快照400表示与特定成员(例如成员装置102处的成员)相关联的显示页面。可经由所述显示页面显示各种新鲜事、内容等等。在图4中所显示的例示性屏幕快照中，显示数个新鲜事及/或新鲜事标题。 
根据仿射性，赋予名称为“达娜(Dana)加入群组“谁是麦克琼斯(Myke Jones)？””的第一新鲜事402最高等级。基于成员与其它内容的互动及与成员与其它内容的互动相关联的成员关系，可能已向出现在显示页面上的每一新鲜事指派了仿射性。接着按照根据仿射性的次序来显示新鲜事。例如，基于为内容的成员及/或第一新鲜事402中包含的其它成员所确定的仿射性为第一新鲜事402指派最高次序，而基于为关于所述内容的成员及/或第二新鲜事404中包含的其它成员所确定的仿射性为名称为“安东尼(Anthony)加入群组“狗狗？是的，请！(Pugs？Yes，please！)””的第二新鲜事404指派第二高的次序，依此类推。 
虽然基于在基于web的社交网络106内的一个或一个以上成员活动确定仿射性，但根据某些实施例，在确定内容及/或其它成员的仿射性时也可考虑在基于web的社交网络106之外的成员活动。 
现在参照图5，图中显示用于产生针对基于web的社交网络的成员而个性化的基于动态关系的内容的例示性过程的流程图。 
在步骤505处，存储基于web的社交网络106(图1)的一个或一个以上成员的至少一个动作。根据一个实施例，成员活动数据可表示在一特定时间周期内在基于web的社交网络106上的特定成员活动。 
在步骤510处，存取基于web的社交网络106的一个或一个以上成员的关系数据。在一个实施例中，关系数据库204(图2)存储配置在成员简档中的数据，其中包含成员的好友及/或其好友的好友。 
在步骤515处，使至少一个动作(步骤505)与关系数据(步骤510)相关联以产生合并数据。在一个实施例中，关联组件302使成员的活动与可能已涉及相同活动的成员的好友及/或成员的好友的好友相关联。 
在步骤520处，识别与合并数据相关联的一个或一个以上要素。在一个实施例中，识别组件304识别与合并数据相关联的一个或一个以上符号、声音及/或图像。 
在步骤525处，基于所述一个或一个以上要素聚集所述合并数据以产生经聚集的合并数据。 
在步骤530处，根据仿射性来给经聚集的合并数据加权，以产生针对基于web的社交网络106的成员而个性化的基于动态关系的内容。根据某些实施例，可根据对将来成员活动的预测来产生所述内容及/或对所述内容排序。 
在步骤535处，存储所产生的针对基于web的社交网络106的成员而个性化的基于动态关系的内容。 
在步骤540中，为基于web的社交网络106的成员发布所存储的已产生的基于动态关系的内容。在一个实施例中，一服务器经配置以将内容发送给已针对其个性化所述内容的成员。 
尽管上文已描述各种实施例，但应了解，所述实施例仅以实例方式而非限定方式提出。例如，与内容引擎相关联的元件中的任一者均可采用上文阐述的所需功能性中 的任一者。因此，优选实施例的广度及范围不应受上文所描述的例示性实施例中的任一者的限制。 

Claims (11)

1.一种用于产生针对社交网络的用户而个性化的新鲜事的源的方法，其包括：
存储被社交网络的一个或一个以上用户执行的动作；
存取所述一个或一个以上用户的关系数据，所述关系数据规定所述社交网络的用户间的关系；
使至少一个动作与至少一个用户相关联以产生合并数据，其中针对多个动作中的每一个的所述合并数据识别至少一个动作以及所述社交网络中执行所述动作的用户；
识别与所述合并数据相关联的一个或一个以上要素；
聚集具有一个或一个以上共同要素的合并数据以产生经聚集的合并数据，其中所述经聚集的合并数据识别与共同要素相关联的至少一个动作，所述社交网络中执行所述动作的用户，以及所述社交网络中同样执行了与所述共同要素相关联的动作的一个或一个以上用户；
产生针对所述社交网络的用户而个性化的新鲜事，其中所述新鲜事包括至少所述动作的描述，执行所述动作的所述用户，以及同样执行了与所述共同要素相关联的动作的一个或一个以上的所述用户；以及
发送针对所述用户而个性化的所述新鲜事至所述用户。
2.如权利要求1所述的方法，其进一步包括存储所述所产生的针对所述社交网络的所述用户而个性化的新鲜事。
3.如权利要求1所述的方法，其中所述关系数据包括所述社交网络的所述一个或一个以上用户的好友。
4.如权利要求3所述的方法，其中所述关系数据包括所述社交网络的所述一个或一个以上用户的所述好友的好友。
5.如权利要求1所述的方法，其中所述至少一个动作是对用户简档的改变。
6.如权利要求1所述的方法，其中产生针对所述用户的新鲜事包括：通过至所述经聚合的合并数据的所述用户的仿射性加权所述经聚合的合并数据，并且至少部分地基于所述加权选择所述经聚合的合并数据。
7.一种用于产生针对社交网络的用户而个性化的新鲜事的源的系统，其包括：
用于存储被社交网络的一个或一个以上用户执行的动作的动作数据库；
用于存储所述社交网络的所述一个或一个以上用户的关系数据的关系数据库，所述关系数据规定了所述社交网络的用户间的关系；
耦合到所述动作数据库和所述关系数据库的处理模块，其包括：
使所述动作数据库中的动作与执行所述动作的所述用户相关联以产生合并数据的关联组件，其中针对多个动作中的每一个的所述合并数据识别至少一个动作以及所述社交网络中执行所述动作的用户；
识别与所述合并数据相关联的一个或一个以上要素的识别组件；
聚集具有一个或一个以上共同要素的合并数据以产生经聚集的合并数据的聚集组件，其中所述经聚集的合并数据识别与共同要素相关联的至少一个动作，所述社交网络中执行所述动作的用户，以及所述社交网络中同样执行了与所述共同要素相关联的动作的一个或一个以上用户；
产生针对所述社交网络的用户而个性化的新鲜事的组件，其中所述新鲜事包括至少所述动作的描述，执行所述动作的所述用户，以及同样执行了与所述共同要素相关联的动作的一个或一个以上的所述用户；以及
发送针对所述用户而个性化的所述新鲜事至所述用户的服务器。
8.如权利要求7所述的系统，其进一步包括用于存储所述所产生的针对所述社交网络的所述用户而个性化的新鲜事的数据库。
9.如权利要求7所述的系统，其中所述关系数据包括所述社交网络的所述一个或一个以上用户的好友。
10.如权利要求9所述的系统，其中所述关系数据包括所述社交网络的所述一个或一个以上用户的所述好友的好友。
11.如权利要求7所述的系统，进一步包括仿射性组件，其用以通过至所述经聚合的合并数据的所述用户的仿射性加权所述经聚合的合并数据，并且至少部分地基于所述加权选择所述经聚合的合并数据。
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