CN106062806B - 使用交互信号来生成关系并且推广内容 - Google Patents
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Abstract
分析应用使用交互信号来生成关系并且推广内容。查询一个或多个交互应用,诸如社交网络应用,以取回交互信号。交互信号包括指示用户与用户的关系之间的关系的交互模式。基于交互信号来构造关系图。基于关系图来推广与用户相关联的内容。调节交互信号的权重以改进关系图的等级和内容的等级。
Description
背景技术
在生活、数据存储和处理中的每个方面中过程的计算化自动化的激增已经变成处理社交的网络化系统的主要组成部分。在此类系统中,从若干源输入、修改或删除社交数据。同样的数据以相同或不同的格式在多个社交数据存储中得以维护,并且社交数据存储不得不基于不同存储的变化来拾取或同步社交数据的变化。随着由不同的源给出新的输入或修改,从简单的表格到复杂的数据库的各种社交数据存储被维护并且同步。在社交数据的用户之间,在短的时间段内,各种关系多次构建和破裂。变化以规则的间隔进行同步。另外,提供各种服务以使实现内部和外部各方与由数据存储所托管的社交数据的交互性。
旧(legacy)实体关系模型典型地是不完整的,虽然许多解决方案可用于跟踪用户的属性以尝试得到诸如商业联系人的角色的关系。关于关系的属性不能以一般的方式来支持。因此,人们之间的关系不能被捕获,可以仅以非结构化的形式被捕获,或者通过明确定义的并且严格的方案来部分地捕获。缺少这些能力使得难以呈现用户与内容之间的关联性的概览。
发明内容
提供该概述以便以下文在详述部分中进一步描述的简化形式来引入构思的选择。该概述不意在确定所要求保护的主题的关键特征或主要特征,也不意用来帮助确定所要求保护的主题的范围。
实施例涉及使用交互信号来生成关系并且推广内容。分析应用可以查询一个或多个交互应用以取回交互信号。交互信号可以是用户与描述了用户、其他用户和内容之间的关系的用户的关联者之间的交互模式。分析应用可以基于交互信号来构造关系图。该关系图可以以图表形式表示与交互信号相关联的用户之间的关系。接着,分析应用可以基于关系图来推广用户的内容。用户的内容可以基于关系图来划分等级。另外,可以调节交互信号的权重以改进关系图的等级和内容的等级。
这些以及其它的特征和优点将从下面详述的阅读以及相关附图的浏览中变得显而易见。应当理解,前面的概述和下面的详述都是说明性的,并不限制所要求保护的方面。
附图说明
图1是示出了根据实施例的使用交互信号来生成关系并且推广内容的概念图;
图2是根据实施例的使用交互信号来生成关系并且推广内容的方案的组件图;
图3示出了根据实施例的显示利用交互信号生成的关系和推广的内容的用户接口的示例;
图4是在其中可以实现根据实施例的系统的简化的网络环境;
图5是在其中可以实现实施例的示例的计算操作环境的框图;以及
图6示出了根据实施例的使用交互信号来生成关系并且推广内容的过程的逻辑流程图。
具体实施方式
如上文简要描述的,交互信号可以用来生成关系并且推广内容。分析应用可以基于从交互应用查询到的交互信号来构造关系图。可以基于关系图来推广用户的内容。可以调节交互信号的权重以改进关系图的等级和内容的等级。
在下面的详述中,参考了附图,附图构成详述的部分,并且通过示例说明的方式示出了具体的实施例或示例。这些方面可以组合,可以使用其它方面,可以做出结构改变,而不偏离本公开的精神或范围。因此,下面的详述不应从限制的意义上考量,并且本发明的范围由随附的权利要求及其等同内容来限定。
虽然在与运行于计算设备的操作系统上的应用程序相结合执行的程序模块的总的背景下描述了实施例,但是本领域技术人员将认识到,各方面还可以与其他程序模块相结合来实现。
一般地,程序模块包括例程、程序、组件、数据结构以及执行特定任务或实现特定抽象数据类型的其它类型的结构。而且,本领域技术人员将意识到,实施例可以通过包括手持式设备、微处理器系统、基于微处理器或可编程消费电子设备、微型计算机、主机计算机和类似的计算设备在内的其它计算机系统配置来实施。实施例还可以在分布式计算环境中来实施,在所述分布式计算环境中任务由通过通信网络链接的远程处理设备来执行。在分布式计算环境中,程序模块可以位于本地存储器存储设备或远程存储器存储设备中。
实施例可以实现为计算机实现的过程(方法)、计算系统,或者实现为制造品,诸如计算机程序产品或计算机可读介质。计算机程序产品可以是能够由计算机系统来读取并且对包含用于使计算机或计算系统执行示例过程的指令的计算机程序进行编码的计算机存储介质。计算机可读存储介质是计算机可读存储器设备。计算机可读存储介质可以例如经由易失性计算机存储器、非易失性存储器、硬盘驱动器和闪速驱动器中的一种或多种来实现。
在该说明书全篇中,术语“平台”可以是使用交互信号来生成关系并且推广内容的软件组件和硬件组件的组合。平台的示例包括但不限于在多个服务器上执行的托管的服务、在单个计算设备上执行的应用以及类似的系统。术语“服务器”一般是指通常在网络环境中执行一个或多个软件程序的计算设备。然而,服务器还可以实现为在视作网络上的服务器的一个或多个计算设备上执行的虚拟服务器(软件程序)。关于这些技术和实例实施例的更多细节可见于下面的说明中。
图1包括示出了根据实施例的使用交互信号来生成关系并且推广内容的概念图100。
在服务器102上执行的分析应用可以使用交互信号来生成关系并且推广内容。交互信号可以是用户之间的交互模式。交互模式可以由分析应用使用来生成用户之间的关系。用户可以是人、物品、位置、动物、应用和类似的事物。用户可以是多个用户的组合。交互模式可以描述用户以及用户间的转播内容之间的关系。在示例的方案中,分析应用可以查询交互应用来取回用户A、用户B和内容之间的交互信号。交互应用可以是允许用户A、用户B和内容之间的一个或多个交互的应用。该内容可以包括文档、消息、视频剪辑、音频剪辑和类似的内容。另外,交互信号可以是关于与用户A相关联的内容的交互模式。分析应用可以基于交互信号所引用的内容来确定用户A与用户B之间的关系。分析应用可以基于所确定的关系来推广内容。在先前的示例中,用户A和用户B不被提供作为限制的示例。其它用户也可以使用交互应用并且参与与用户A、用户B和内容的交互。
在服务器102上执行的分析应用可以查询在内容服务器104和数据服务器106上执行的交互应用。在示例方案中,在内容服务器104上执行的交互应用可以向用户和内容提供交互服务。分析应用可以查询交互应用以取回用户与交互应用的内容之间的交互信号。可选地,分析应用可以在推送方案中接收来自交互应用的交互信号。交互信号可以用来生成关系图以推广与用户相关联的内容,诸如用户的文档。
另外,分析应用可以查询在数据服务器106上执行的交互应用。在数据服务器106上执行的交互应用可以存储诸如通讯录信息的用户的属性。交互应用可以管理用户之间的关系,诸如商业、个人、社交和类似的关系。交互应用还可以基于用户之间的交互来管理关系。示例可以包括访问频率。
分析应用可以从数据服务器106取回与用户相关联的交互信号。可以利用交互信号来构造关系图。可选地,通过取回新的或更新的交互信号可以扩增先前构造的关系图。
在服务器102上执行的分析应用可以基于关系图来对与用户相关联的内容划分等级。示例可以包括用户访问的文档作为由分析应用划分等级的内容。还可以由分析应用基于用户的访问频率和用户的关联者的访问频率来对内容进行分类。用户的关联者可以是其它用户。还可以基于与用户的相关性以及与用户的关联者的相关性对内容进行分类。可以基于访问频率来向该关联者推荐内容。
划分等级的内容可以呈现给设备110。基于从设备110接收到的对内容的请求,可以按照需要将内容传送给设备110。可选地,服务器102可以基于对内容的订阅而将内容传送到设备。内容可以通过设备110上的一个或多个用户接口而呈现给观看者108。设备110可以包括台式计算机、平板式计算机、笔记本计算机、智能手机和类似的设备。
虽然已经通过包括使用交互信号来生成关系并且推广内容的服务器102的具体组件描述了图1的示例的系统,但是实施例不限于这些组件或系统配置并且能够通过其它采用更少或额外的组件的系统配置来实现。在替代的示例中,分析应用可以连同交互应用一起在服务器102中执行。本文论述的方法可以应用于由应用和/或服务器利用本文所描述的原理所提供的任何合规过程。
图2是使用交互信号来生成关系并且推广内容的方案的组件图。示意图200示出了通过使用交互信号来生成关系并且推广内容的分析应用202的示例。
分析应用202可以查询交互应用以接收交互应用输出204。可选地,分析应用可以基于预定的计划或者按照需要以推送方案来接收来自交互应用的交互应用输出204。生成交互应用输出204的交互应用可以包括管理用户、内容和关系信息的内部和外部交互应用。交互应用输出204可以是包括建立用户之间的关系的建议的交互信号。交互应用输出204可以包括分析应用被准许访问的与用户相关联的交互信号。
分析应用202可以将交互信号存储在信号存储输入210组件内。信号存储输入210组件可以管理与外部交互应用的交互,包括对交互信号的访问、交互信号的查询和取回。信号存储输入210组件可以通过应用编程接口(API)来访问交互应用。API可以由分析应用202定制以获得对交互应用所管理的交互信号的访问权。定制可以包括配置API以与交互应用建立连接。
分析应用202的观看208组件可用于分析对内容的观看。交互信号可以将内容与用户相关联。观看208组件可以分析交互信号以确定在预定时间段内内容的观看的最近程度。预定时间段可以是数年、数月、数周、数天、数小时、数秒以及每个的组合。在示例方案中,预定时间段可以被指定为两周以将内容视为与用户或用户的关联者相关。预定时间段的示例不是在限制的意义上提供,还可以将其它时间段指定为预定时间段以考虑与用户或关联者相关的内容。
人际关系206组件可以分析用户与用户的关联者之间的交互。分析应用202可以响应于判定出用户与关系之间的交互数量在预定阈值以上而确定用户与关联者之间的加权关系。预定阈值可以基于多种标准来被手动地配置或者动态地配置。交互可以包括关注(follow)操作、共享操作、建议、协作、呈现和类似的交互。关系可以插入到关系图中。
来自人际关系206、观看208和信号存储输入210组件的输出可以传送到流行内容212组件以用于分析。流行内容212组件的输入可以包括关系、观看频率信息和交互信号。流行内容212组件可以生成用户和用户的关联者所访问的流行内容。流行内容212组件可以基于通过用户的关联者与内容的交互而生成用户可能感兴趣的内容。用户的关联者可以从用户列表中自动或手动地选出,所述用户的列表是从将用户与关联者相关联的交互信号获得的。
图索引馈送器214组件可以分析关系以产生关系图。图索引馈送器214可以通过图表形式将该关系制到关系图中。可以基于关系图来对诸如流行内容212模块分析的文档的内容划分等级。图索引馈送器214组件可以基于分数来对内容划分等级,所述分数是根据与内容相关联的关系而指定给内容的。关系图和划分等级的内容可以通过图索引216而呈现给消费者,所述图索引216基于消费者的关系而呈现划分等级内容。
分析应用202可以使用划分等级的函数来基于关系图对内容划分等级。根据一些实施例,下面的值可以由划分等级的函数使用:
PiS的值可以包括用户与相关的人i(也称为关系)之间的相关人分数。可以通过人际关系206组件来计算值PiS。人可以是通过作为得到的交互信号的关系而关联的用户之一。可以通过关系图中的相关人分数来对关系划分等级。
PDi,jS的值可以包括人i与文档j之间的人-文档分数,其中文档j是与人i相关联的内容。基于人i在文档j上的交互。
DjS的值可以包括用于选定人的文档j的分数。
f的值可以是指用来产生相关的人与文档之间的分数的特征。特征的示例可以包括人所看到的诸如文档的内容的多个观看。
Cf的值可以包括诸如文档的人所看到的多个观看的特征的计数。
Tf的值可以包括通过人而在文档上发生特征事件的最后时间的时间戳。
值Wf可以包括特征权重。该权重可以用于调节特征如何是文档分数。交互信号的权重可以被调节以添加关系或者从关系图中去除关系。权重的调节可以基于预定标准而手动地或者自动地实现。
分析应用202可以通过下式来计算对于人i而言文档j的分数
从而将文档j与选定的用户相关。从多个用户指向文档的链接是由如下函数聚合的
由于上述分数取决于值PiS(即,相关人的分数),所以来自具有较高分数的人的文档增加。当在用户之间计算文档j的分数DjS时,通过相关度来对文档进行分类。
划分等级的函数的示例不是在限制的意义上提供的。可以使用其它划分等级的函数来对内容划分等级。
图3示出了根据实施例的用于显示利用交互信号生成的关系和推广的内容的用户接口的示例。
如示意图300所示,客户端应用302可以呈现用户304的关系。用户304可以通过诸如头部图像的图形和诸如名称的标识符信息的图形来表示。可以通过关联者306、308和310来标识与用户的关系。关系306、308和310可以通过包括管理者、同事和同辈的针对关系的描述性术语来标识与用户304的关系。描述性术语不是在限制的意义上提供的,其它描述性术语如家庭、朋友和类似的术语可以用来描述用户与关联者之间的关系。
分析应用可以基于关系图来对与用户304相关联的内容划分等级。响应于检测到选择用户304的一个或多个关联者的交互,分析应用可以对与用户304和选定的关联者相关联的内容划分等级。划分等级的内容可以呈现给客户端应用302。客户端应用可以显示动作链接312以呈现与用户304和选定的关联者相关联的划分等级的内容。
响应于检测到动作链接312的激活,客户端应用314可以将划分等级的内容显示为内容316。内容316可以包括与用户304和选定的关联者有关的文档、分布列表(即,电子邮件)、群组、会议和类似的内容。另外,可以提供感兴趣的信息。感兴趣的信息可以包括用户304的关联者与内容316之间的交互的概述。感兴趣的信息可以基于概述来提供用户为何对该内容感兴趣的描述。感兴趣的信息可以传送到客户端应用以使客户端应用将感兴趣的信息显示在与内容316相关联的一个或多个感兴趣的窗格318内。
图2和图3中的示例的场景和概要是通过具体的组件、数据类型和配置示出的。实施例不限于根据这些示例配置的系统。使用交互信号生成关系并且推广内容可以实现在在应用和用户接口中采用更少或额外的组件的配置中。此外,图2和图3所示的示例的概要和组件及其子组件可以利用本文所描述的原理通过其它值以类似的方式实现。
图4是在其中可以实现实施例的示例的网络环境。使用交互信号来生成关系并且推广内容的系统可以经由诸如托管服务的在一个或多个服务器414上执行的软件来实现。平台可以通过网络410与在诸如智能手机413、膝上型计算机412或台式计算机411(‘客户端设备’)的个体计算设备上的客户端应用通信。
在客户端设备411-413中的任一个上执行的客户端应用可以经由服务器414执行的应用或者个体服务器416上的应用来利于通信。分析应用可以根据交互信号来生成关系图。关系图可以用于对用户的内容划分等级。基于该关系,可以对用户和用户的关联者推广划分等级的内容。关系和内容数据可以直接地或者通过数据库服务器418而存储在数据存储419中。
网络410可以包括服务器、客户端、因特网服务提供商和通信介质的任意拓扑结构。根据实施例的系统可以具有静态或动态拓扑结构。网络410可以包括诸如企业网的安全网络、诸如无线开放网的非安全网络或因特网。网络410还可以协调通过诸如公共交换电话网(PSTN)或蜂窝网络的其他网络的通信。此外,网络410可以包括短程无线网,诸如蓝牙或类似的网络。网络410提供本文所描述的节点之间的通信。通过示例的方式而不是限制的方法,网络410可以包括诸如声波、RF、红外和其他无线介质的无线介质。
计算设备、应用、数据结构和数据分布系统的许多其他配置可以被采用来利用交互信号以生成关系并且推广内容。此外,图4所论述的网络环境仅为了示例的目的。实施例不限于示例的应用、模块或过程。
图5和相关的论述意在提供可以实现实施例的适合的计算环境的简要的、总体的描述。参考图5,示出了根据实施例的用于应用的示例的计算操作环境的框图,诸如计算设备500。在基本配置中,计算设备500可以是根据实施例的执行分析应用的任意计算设备,并且可以包括至少一个处理单元502和系统存储器504。计算设备500还可以包括在执行程序时协作的多个处理单元。根据计算设备的确切的配置和类型,系统存储器504可以是易失性的(诸如RAM)、非易失性的(诸如ROM、闪存等)或两者的某种组合。系统存储器504典型地包括适合于控制平台的操作的操作系统505,诸如来自华盛顿的Redmond的微软公司的操作系统。系统存储器504还可以包括一个或多个软件应用,诸如程序模块506、分析应用522和关系模块524。
分析应用522可以查询交互应用来取回交互信号。分析应用522可以根据在交互信号中推断的关系来生成关系图。关系模块524可以用于基于关系图来对与用户相关联的内容划分等级。分析应用522可以推广划分等级的内容。该基本配置在图5中由虚线508内的那些组件示出。
计算设备500可以具有附加的特征或功能。例如,计算设备500还可以包括附加的数据存储设备(可移除和/或非可移除),诸如例如磁盘、光盘或磁带。图5中通过可移除存储设备509和非可移除存储设备510来示出该附加存储设备。计算机可读存储介质可以包括以用于存储诸如计算机可读指令、数据结构、程序模块或其它数据的信息的任何方法或技术实现的易失性和非易失性的、可移除的和非可移除的介质。系统存储器504、可移除存储设备509和非可移除存储设备510都是计算机可读存储介质的实例。计算机可读存储介质包括但不限于RAM、ROM、EEPROM、闪速存储器或其它存储器技术、CD-ROM、数字多功能盘(DVD)或其它光学存储、磁盒、磁带、磁盘存储或其它磁存储设备或者任何其它能够用来存储所需信息并且能够由计算设备500访问的介质。任何这样的计算机可读存储介质可以是计算设备500的部分。计算设备500还可以具有诸如键盘、鼠标、笔、语音输入设备、触摸输入设备、用于检测姿势的光学捕获设备和类似的输入设备之类的输入设备512。还可以包括诸如显示器、扬声器、打印机和其它类型的输出设备之类的输出设备514。这些设备是本领域公知的,无需再次详述。
计算设备500还可以包含通信连接516,其允许设备与其它设备518通信,例如通过分布式计算环境中的有线或无线网、卫星链路、蜂窝链路、短程网络和类似的机制。其它设备518可以包括执行通信应用的计算机设备、网络服务器和类似设备。通信连接516是通信介质的一个示例。通信介质中可以包括计算机可读指令、数据结构、程序模块或其它数据。通过实例而不是限制的方式,通信介质包括诸如有线网或直接接线连接的有线介质以及诸如声波、RF、红外和其它无线介质的无线介质。
示例性实施例还包括方法。这些方法能够以任意多种方式来实现,包括在该文档中描述的结构。一种这样的方式是通过该文档中所描述的类型的设备的机器操作。
另一种可选的方式是与执行一些操作的一个或多个人类操作者联合地执行方法的各操作中的一个或多个。这些人类操作者无需彼此配合,但是每个均仅有一台执行程序的一部分的机器。
图6示出了根据实施例的使用交互信号来生成关系并并且推广内容的过程的逻辑流程图。过程600可以通过分析应用来实现。
过程600开始于操作610,查询一个或多个交互应用以取回交互信号。在操作620中,分析应用可以基于交互信号来构造关系图。可以基于关系图来对用户的内容划分等级。在操作630中,可以基于关系图来推广用户的内容。在操作640中,交互信号的权重可以被调节以改进关系图的等级和内容的等级。
根据一些实施例,可以提供使用交互信号来生成关系并且推广内容的方法。示例的方法可以包括:查询一个或多个交互应用以取回交互信号,基于交互信号来构造关系图,基于关系图来推广用户的内容,以及调节交互信号的权重来改进关系图的等级和内容的等级。
根据其它实施例,该方法可以包括:从一个或多个交互应用取回新的或更新的交互信号,以及用新的或更新的交互信号来扩增关系图。可以基于关系图对内容划分等级。可以基于与用户以及关联于内容的关联者的相关度来对内容进行分类。可选地,可以基于用户的访问频率和关联于内容的关联者的访问频率来对内容进行分类。另外,文档可以被分析为内容。
根据另外的实施例,该方法可以包括以图形索引来呈现关系图和内容。可以基于指定给文档的人-文档分数来对作为内容的文档划分等级。可以基于文档与用户和用户的关联者的关联来指定人-文档分数。通过计算用户与从交互信号得到的相关人之间的相关人分数,可以根据交互信号中的一个或多个来确定关系。可以基于相关人分数在关系图内对关系划分等级。
根据一些实施例,计算设备(500)可以被提供以使用交互信号来生成关系和推广内容。计算设备可以包括存储器、与存储器耦合的处理器。处理器可以与存储在存储器中的指令相结合来执行分析应用。分析应用可以被配置为查询一个或多个交互应用以取回交互信号,基于交互信号来构造关系图,通过基于关系图对内容划分等级来推广用户的内容,以及调节交互信号的权重来改进关系图的等级和内容的等级。
根据其它实施例,分析应用可以被进一步配置为分析用户与用户的关联者之间的交互以根据交互信号来确定关系。该关系可以响应于判定出交互数量在预定阈值以上而被确定,并且关系可以插入关系图中。应用编程接口(API)可以被定制以建立与一个或多个交互应用的连接从而取回交互信号。通过分析交互信号,可以由用户或用户的关联者在预定时间内确定内容的观看的最近程度。预定时间段可以被指定为两周以将该内容视为与用户或关联者相关。
根据一些实施例,计算机可读存储器设备可以被提供以使用交互信号来生成关系并且推广内容。指令可以响应于执行而实施方法,所述方法类似于上述的方法。
过程600中所包含的操作仅为了示例的目的。可以通过具有较少或额外步骤的类似过程以及利用本文所描述的原理按不同的操作顺序来实现分析应用。
上面的说明书、示例和数据提供了对实施例的构成物的制造和使用的完整描述。虽然以特定于结构特征和/或方法行为的语言描述了主题,但是应当理解在随附权利要求中限定的主题不必局限于上述的特定特征或行为。相反,上述的特定的特征或行为被公开为实现权利要求和实施例的示例形式。
Claims (14)
1.一种在计算设备上执行的使用交互信号来生成关系并且推广内容的方法,所述方法包括:
从一个或多个交互应用取回交互信号,其中,所述交互信号包括表示用户之间的关系以及所述用户之间的内容的交互模式;
基于所述交互信号来构造关系图;
基于所述关系图和指定给所述内容的人-文档分数对所述内容划分等级,其中,每个人-文档分数是用户与内容之间的交互的计数、所述用户与所述内容之间的交互的最近程度以及与所述交互相关联的权重的函数;
基于所述等级来推广所述内容中的至少一个内容;以及
调节至少一个人-文档分数的权重以改进所述关系图的等级和所述内容的等级。
2.如权利要求1所述的方法,进一步包括:
从所述一个或多个交互应用取回新的或更新的交互信号;以及
利用所述新的或更新的交互信号来扩增所述关系图。
3.如权利要求1所述的方法,进一步包括:
基于与所述用户和关联于所述内容的关联者的相关度来对所述内容进行排序。
4.如权利要求1所述的方法,进一步包括:
基于所述用户的访问的频率以及关联于所述内容的关联者的访问频率来对所述内容进行排序。
5.如权利要求1所述的方法,进一步包括:
提供包括所述用户的关联者与所述内容之间的交互的概述的兴趣信息。
6.如权利要求1所述的方法,进一步包括:
以图索引来呈现所述关系图和所述内容。
7.如权利要求1所述的方法,进一步包括:
基于指定给文档的人-文档分数来对作为所述内容的所述文档划分等级。
8.一种使用交互信号来生成关系并且推广内容的计算设备,所述计算设备包括:
存储器;
与所述存储器耦合的处理器,所述处理器与存储在所述存储器中的指令相结合地执行分析应用,其中,所述分析应用被配置为:
从一个或多个交互应用取回交互信号,其中,所述交互信号包括表示用户之间的关系以及所述用户之间的内容的交互模式;
基于所述交互信号来构造关系图;
基于所述关系图和指定给所述内容的人-文档分数对所述内容划分等级,其中,每个人-文档分数是用户与内容之间的交互的计数、所述用户与所述内容之间的交互的最近程度以及与所述交互相关联的权重的函数;
基于所述等级来推广所述内容中的至少一个内容;以及
调节至少一个人-文档分数的权重以改进所述关系图的等级和所述内容的等级。
9.如权利要求8所述的计算设备,其中,所述分析应用进一步被配置为:
分析所述用户与所述用户的关联者之间的交互以根据所述交互信号来确定关系。
10.如权利要求9所述的计算设备,其中,所述分析应用进一步被配置为:
响应于确定所述交互的数量在预定阈值以上,确定所述关系;以及
将所述关系插入到所述关系图中。
11.如权利要求8所述的计算设备,其中,所述分析应用进一步被配置为:
定制应用编程接口(API)以建立到所述一个或多个交互应用的连接从而取回所述交互信号。
12.如权利要求8所述的计算设备,其中,所述分析应用进一步被配置为:
通过分析所述交互信号,由所述用户或所述用户的关联者确定在预定时间段内对所述内容的观看的最近程度。
13.如权利要求12所述的计算设备,其中,所述分析应用进一步被配置为:
将所述预定时间段指定为将所述内容视为与所述用户或所述关联者相关的时间段。
14.一种其上存储有用于使用交互信号来生成关系并且推广内容的指令的计算机可读存储设备,所述指令当被运行时执行包括以下项的操作:
从一个或多个交互应用取回交互信号,其中,所述交互信号包括表示用户之间的关系以及所述用户之间的内容的交互模式;
基于所述交互信号来构造关系图;
基于所述关系图和指定给所述内容的人-文档分数对所述内容划分等级,其中,每个人-文档分数是用户与内容之间的交互的计数、所述用户与所述内容之间的交互的最近程度以及与所述交互相关联的权重的函数;
基于所述等级来推广所述内容中的至少一个内容;以及
调节至少一个人-文档分数的权重以改进所述关系图的等级和所述内容的等级。
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BR112016017850A2 (pt) | 2020-10-06 |
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