WO2012037847A1 - 展示好友动态的方法及系统、计算机存储介质 - Google Patents

展示好友动态的方法及系统、计算机存储介质 Download PDF

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Publication number
WO2012037847A1
WO2012037847A1 PCT/CN2011/079009 CN2011079009W WO2012037847A1 WO 2012037847 A1 WO2012037847 A1 WO 2012037847A1 CN 2011079009 W CN2011079009 W CN 2011079009W WO 2012037847 A1 WO2012037847 A1 WO 2012037847A1
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Prior art keywords
dynamic information
friend
classification
attribute
displaying
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PCT/CN2011/079009
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English (en)
French (fr)
Inventor
陈敏
周清
林树扬
黄晓军
杨雍
郑志昊
梁柱
陈杉
徐晓
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腾讯科技（深圳）有限公司
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Priority to KR1020127026372A priority Critical patent/KR20130009987A/ko
Priority to RU2012150125/08A priority patent/RU2571401C2/ru
Priority to EP11826374.8A priority patent/EP2620879A4/en
Priority to CA2800013A priority patent/CA2800013A1/en
Publication of WO2012037847A1 publication Critical patent/WO2012037847A1/zh
Priority to US13/744,077 priority patent/US20130132393A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry

Definitions

  • the present invention relates to Internet technologies, and in particular, to a method and system for displaying friend dynamics, and a computer storage medium.
  • SNS Social Networking Services
  • the SNS network For the massive users and massive information in the SNS network, it is a traditional SNS to quickly and efficiently obtain the required information and content.
  • the SNS network often displays all the user's dynamic information in a mixed manner, and cannot quickly obtain the required friend dynamic information.
  • a method for displaying a friend's activity includes the following steps: dynamically generating dynamic information according to a friend relationship chain; classifying the dynamic information according to a preset classification rule, and obtaining a corresponding classification set; collecting screening conditions, and collecting Dynamic information that satisfies the screening condition is extracted from the classification set and displayed.
  • the step of classifying the dynamic information according to a preset classification rule to obtain a corresponding classification set is: extracting, according to a preset classification rule, an attribute associated with the classification rule in the dynamic information. And classifying the dynamic information according to the attribute to form a classification set.
  • the classification rule includes one or more of an information attribute, a friend attribute, or a user event attribute.
  • the collecting and filtering conditions, extracting dynamic information that satisfies the screening condition from the classification set, and displaying the steps are: collecting a screening condition; acquiring a classification set corresponding to the screening condition; Dynamic information is extracted from the collection and displayed.
  • the screening condition is a plurality of screening conditions
  • the step of acquiring the classification set corresponding to the screening condition further comprises the step of: taking the intersection of the filtered classification sets.
  • a system for displaying a friend's activity includes at least an aggregation server, configured to dynamically generate dynamic information according to a friend relationship chain, and a dynamic information server, configured to classify the dynamic information according to a preset classification rule, and obtain a corresponding a collection of classifications; a client, configured to collect screening conditions, extract dynamic information that satisfies the screening conditions from the collection of categories, and display the information.
  • the dynamic information server includes: an extracting module, configured to extract, according to a preset classification rule, an attribute associated with the classification rule in the dynamic information; and a classification module, configured to: according to the attribute Dynamic information is classified to form a classification set.
  • the classification rule according to the extraction module includes one or more of an information attribute, a friend attribute, or a user event attribute.
  • the client includes: an identification module, configured to collect a screening condition; a screening module, configured to acquire a classification set corresponding to the screening condition; and a display module, configured to extract dynamic information from the classification set, And display.
  • an identification module configured to collect a screening condition
  • a screening module configured to acquire a classification set corresponding to the screening condition
  • a display module configured to extract dynamic information from the classification set, And display.
  • the screening condition is a plurality of screening conditions
  • the client further includes: a merging module, configured to take an intersection of the filtered classification set.
  • a computer storage medium storing computer executable instructions for controlling a computer to perform a method of displaying a friend's activity, the method comprising:
  • the screening condition is collected, and dynamic information that satisfies the screening condition is extracted from the classification set and displayed.
  • the step of classifying the dynamic information according to a preset classification rule to obtain a corresponding classification set is:
  • the dynamic information is classified according to the attribute to form a classification set.
  • the classification rule includes one or more of an information attribute, a friend attribute, or a user event attribute.
  • the collecting and filtering conditions, extracting dynamic information that satisfies the screening condition from the classification set, and displaying the steps are:
  • Dynamic information is extracted from the classification set and displayed.
  • the screening condition is a plurality of screening conditions
  • the step of acquiring the classification set corresponding to the screening condition further comprises:
  • the friends dynamics are classified and filtered, and the friend dynamics that meet the screening conditions input by the user are obtained, and displayed, and the quick screening in the massive information is realized, and the user is quickly provided with all of them.
  • the effective dynamic information and content of friends meet the needs of personalized browsing.
  • FIG. 1 is a flow chart of a method for displaying friend dynamics according to the present invention
  • FIG. 2 is a flow chart of a method for displaying friend dynamics in an embodiment
  • FIG. 3 is a schematic diagram of an interaction interface for obtaining screening conditions according to an embodiment
  • FIG. 4 is a schematic diagram of a system for displaying friend dynamics according to the present invention.
  • Figure 5 is a block diagram of a dynamic information server of an embodiment
  • Figure 6 is a diagram of a client module of an embodiment.
  • FIG. 1 shows a method flow of displaying a friend dynamic of the present invention, which includes the following steps:
  • the friends dynamically generate dynamic information.
  • the friend relationship chain includes all friend information and contact information of the user, for example, user A and B, C, and D. Is a network friend, then B, C, D and their related information is User A's simplest friend relationship chain.
  • Friend activity is the user's friend in SNS
  • the event triggered in the cyberspace dynamically generates dynamic information for the user to view in the SNS cyberspace.
  • the buddy in the user's buddy chain can be dynamically packaged into a file format as a feed. Type of dynamic information. If user A's network friend B posts a log in the SNS network space, then for user A, the network friend B's friend activity is B. Post a log to generate dynamic information that records the dynamics of this friend.
  • the file format of the dynamic message can be a feed type.
  • the dynamic information is classified according to a preset classification rule to obtain a corresponding classification set.
  • the classification rule includes one or more of an information attribute, a friend attribute, or a user event attribute.
  • information attributes which may include information type, information generation time, and the like.
  • the type of information is a log, an album, a message, a vote to participate or initiate, and the like.
  • the friend attribute can be derived from the friend relationship chain, including age, gender, group of users to which the friend belongs, group where the friend is located, and the like.
  • the user event attribute is obtained by investigating or observing the user behavior, and the user event attribute includes the user's dynamic, the keyword that the user pays attention to, and the user's demand. For example, through research to know that users want to receive information on cars and travel, the current user event attribute is to obtain information on cars and travel. If the user's activity is known to find information about education, the current user event attribute is information on obtaining education. If the current user's most frequently used phrase is environmentally friendly, then the keyword that the user is concerned about is 'environmental protection', and the current user event attribute is information on obtaining environmental protection.
  • the dynamic information is classified according to the information attribute.
  • the information attribute includes the information type and the information generation time
  • the dynamic information is separately classified according to the information type and the information generation time, and the classification set related to the information type and the classification related to the information generation time are obtained. set.
  • the filter condition is collected, and dynamic information satisfying the filter condition is extracted from the classification set and displayed.
  • the screening conditions input by the user are collected, and according to the screening conditions set by the user, dynamic information that satisfies the screening condition is extracted from the classification set and displayed.
  • the filter condition can be time to the nearest 3 days of logs.
  • users can select multiple filters, for example, the filter can be the last 3 days of logs and albums from my friends.
  • FIG. 2 shows a method flow for displaying friend dynamics in an embodiment, including the following steps:
  • step S201 In the middle, according to the friend relationship chain, the friends dynamically generate dynamic information.
  • the SNS triggered by all the friends and contacts in the friend relationship chain is obtained.
  • the cyberspace is dynamic, generating relevant dynamic information.
  • a friend dynamic may be a friend in a friend relationship chain sharing a photo in the SNS cyberspace.
  • the attribute related to the classification rule in the dynamic information is extracted according to a preset classification rule.
  • the attributes related to the classification rule are extracted from the dynamic information according to one or more classification rules of the information attribute, the friend attribute, or the user event attribute. For example, if the classification rule is an information attribute, all information attributes such as an attribute of the information type and an attribute of the information generation time are extracted from the dynamic information.
  • step S203 Dynamic information is classified according to attributes.
  • the buddy dynamic information in the pair of buddy relationship chains is classified.
  • step S204 the screening conditions are collected.
  • the screening condition input by the user is obtained through the interaction interface, and the interaction interface is as shown in FIG. 3 . Shown.
  • the collected filter criteria are all logs and albums from the last 3 days of my friends.
  • step S205 Get the collection of categories corresponding to the filter criteria.
  • the classification set is filtered according to the screening condition to obtain dynamic information that completely satisfies the screening condition.
  • the screening condition is a plurality of screening conditions, in step S205. It also includes the step of taking the intersection of the filtered classification sets. In this embodiment, if the number of the screening conditions is multiple, the same dynamic information exists between the plurality of classification sets filtered according to the screening condition, and different dynamic information exists, so that the obtained dynamic information is satisfied. For all screening conditions, it is necessary to take the intersection of the filtered classification sets.
  • step S206 dynamic information is extracted and displayed.
  • the extracted dynamic information is displayed on the SNS of the friend. In cyberspace, so that users can view their friends' dynamics.
  • FIG. 4 shows a system for displaying buddy dynamics of the present invention, which includes an aggregation server 10, a dynamic information server 20, and a client. 30, where:
  • the aggregation server 10 is configured to dynamically generate dynamic information according to the friend relationship chain.
  • the aggregation server 10 Dynamically generate dynamic information based on all friend information and contact information in the friend relationship chain.
  • Dynamic Information Server 20 The method is used to classify dynamic information according to a preset classification rule to obtain a corresponding classification set.
  • the dynamic information server 20 The obtained classification rule includes one or more of an information attribute, a friend attribute, or a user event attribute.
  • the client 30 is configured to collect a screening condition, and extract dynamic information that meets the screening condition from the classification set and display it.
  • the client 30 The screening conditions input by the user are collected, and based on the screening conditions set by the user, dynamic information that satisfies the screening conditions is extracted from the classification set and displayed.
  • FIG. 5 shows a dynamic information server of an embodiment, the dynamic information server 20 including an extraction module 201 and a classification module 202. ,among them:
  • the extracting module 201 is configured to extract, according to a preset classification rule, an attribute associated with the classification rule in the dynamic information.
  • the extraction module 201 Extracting attributes related to the classification rule from the dynamic information according to one or more classification rules of the information attribute, the friend attribute, or the user event attribute.
  • the classification module 202 is configured to classify the dynamic information according to the attribute.
  • the classification module 202 According to the extracted attributes, the buddy dynamic information in the pair of buddy relationship chains is classified.
  • FIG. 6 shows a client of an embodiment, which includes an identification module 301, a screening module 302, and a display module. 303, where:
  • the identification module 301 collects screening conditions.
  • the identification module 301 The filtering conditions input by the user are obtained through the interactive interface.
  • the filtering module 302 is configured to obtain a classification set corresponding to the screening condition.
  • the screening module 302 According to the screening conditions, the classification set is filtered to obtain dynamic information that completely satisfies the screening conditions.
  • the client 30 A merge module is also included, the merge module is configured to take an intersection of the filtered classification sets.
  • the number of the screening conditions is multiple, the same dynamic information exists between the multiple classification sets filtered according to the screening conditions, and different dynamic information exists, so that the obtained dynamic information is obtained. Meet all filter criteria and require client The merge module in 30 takes the intersection of the filtered classification sets.
  • the display module 303 is configured to extract dynamic information and display it.
  • This invention also provides a computer storage medium storing computer executable instructions for performing the above-described method of displaying friend dynamics.
  • a method and system for displaying friend dynamics and a computer storage medium are described below in conjunction with a detailed embodiment.
  • the user logs in to the client 30.
  • the aggregation server 10 obtains the SNS network space dynamic triggered by all the friends and contacts in the friend relationship chain, and packages the generated file format into the feed type dynamic information, thereby extracting the module 201. Extracting the information attribute and the friend attribute respectively from the obtained dynamic information, and the classification module 202
  • the dynamic information is classified according to the type of information, the time when the information is generated, the age, the gender, the group of users to which the friend belongs, and the group in which the friend is located, to form a classification set.
  • the identification module 301 of the client 30 is as shown in FIG.
  • the interaction interface entered by the user is obtained in the interactive interface shown, and the filtering condition is that the information generation time is the latest 3 The days, the users to which the friends belong are grouped into my friends, and the information types are logs and albums. Since the screening condition is multiple, the screening module 302 The classification set is filtered according to the filtering condition, and the merging module takes the intersection of the classification set to obtain dynamic information, so that the display module 303 displays to the user.
  • the friends dynamics are classified and filtered, and the friend dynamics that meet the screening conditions input by the user are obtained, and displayed, and the quick screening in the massive information is realized, and the user is quickly provided with all of them.
  • the effective dynamic information and content of friends meet the needs of personalized browsing.

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Abstract

一种展示好友动态的方法，包括如下步骤：根据好友关系链，将好友动态生成动态信息；将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示。上述展示好友动态的方法及系统中通过对好友动态进行分类后过滤，得到满足了用户所输入的筛选条件的好友动态，并显示，实现了在海量信息中进行快速筛选，为用户迅速提供其所有好友的有效的动态信息和内容，满足了个性化浏览的需求。

Description

展示好友动态的方法及系统、计算机存储介质
【技术领域】
本发明涉及互联网技术，特别是涉及一种展示好友动态的方法及系统、计算机存储介质。
【背景技术】
随着网络的不断发展与普及，网络生活已经成为人们生活中不可或缺的重要组成部分。越来越多的人参与到网络活动中去，从而使得网络信息的数量呈爆炸式地增长。与此同时，社会化网络（ Social Networking Services ，简称 SNS ）也已经不再是单个用户与单个用户之间的关系，而是单对多以及多对多的关系，因此， SNS 网络包含了网络用户、用户动态及其关系网络，具体非常多的信息。
对于 SNS 网络中的海量用户及海量信息，迅速有效地获取到需要的信息和内容是传统的 SNS 网络面临的首要问题。但是， SNS 网络常常将用户的全部好友动态信息通过混排的方式展现，无法快速地获取需要的好友动态信息。
【发明内容】
基于此，有必要提供一种可筛选好友动态信息的展示好友动态的方法。
此外，还有必要提供一种可筛选好友动态信息的展示好友动态的系统。
一种展示好友动态的方法，包括如下步骤：根据好友关系链，将好友动态生成动态信息；将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示。
优选地，所述将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合的步骤是：根据预设的分类规则，提取所述动态信息中与所述分类规则相关联的属性；根据所述属性对所述动态信息进行分类，形成分类集合。
优选地，所述分类规则包括信息属性、好友属性或用户事件属性中的一种或两种以上。
优选地，所述采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示的步骤是：采集筛选条件；获取与所述筛选条件相对应的分类集合；从所述分类集合中提取动态信息并显示。
优选地，所述筛选条件为多个筛选条件，所述获取与所述筛选条件相对应的分类集合的步骤之后还包括：对筛选后的分类集合取交集的步骤。
一种展示好友动态的系统，至少包括：聚合服务器，用于根据好友关系链，将好友动态生成动态信息；动态信息服务器，用于将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；客户端，用于采集筛选条件，从所述分类集合中提取满足筛选条件的动态信息并显示。
优选地，所述动态信息服务器包括：提取模块，用于根据预设的分类规则，提取所述动态信息中与所述分类规则相关联的属性；分类模块，用于根据所述属性对所述动态信息进行分类，形成分类集合。
优选地，所述提取模块所根据的分类规则包括信息属性、好友属性或用户事件属性中的一种或两种以上。
优选地，所述客户端包括：识别模块，用于采集筛选条件；筛选模块，用于获取与所述筛选条件相对应的分类集合；显示模块，用于从所述分类集合中提取动态信息，并显示。
优选地，所述筛选条件为多个筛选条件，所述客户端还包括：合并模块，用于对筛选后的分类集合取交集。
另外，还提供了一种存储计算机可执行指令的计算机存储介质，所述计算机可执行指令用于控制计算机执行一种展示好友动态的方法，所述方法包括：
根据好友关系链，将好友动态生成动态信息；
将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；
采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示。
优选地，所述将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合的步骤为：
根据预设的分类规则，提取所述动态信息中与所述分类规则相关联的属性；
根据所述属性对所述动态信息进行分类，形成分类集合。
优选地，所述分类规则包括信息属性、好友属性或用户事件属性中的一种或两种以上。
优选地，其特征在于，所述采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示的步骤为：
采集筛选条件；
获取与所述筛选条件相对应的分类集合；
从所述分类集合中提取动态信息并显示。
优选地，所述筛选条件为多个筛选条件，所述获取与所述筛选条件相对应的分类集合的步骤之后还包括：
对筛选后的分类集合取交集的步骤。
上述展示好友动态的方法及系统中通过对好友动态进行分类后过滤，得到满足了用户所输入的筛选条件的好友动态，并显示，实现了在海量信息中进行快速筛选，为用户迅速提供其所有好友的有效的动态信息和内容，满足了个性化浏览的需求。
【附图说明】
图 1 为本发明的展示好友动态的方法流程图；
图 2 为一实施例中展示好友动态的方法流程图；
图 3 为一实施例的获取筛选条件的交互界面示意图；
图 4 为本发明的展示好友动态的系统示意图；
图 5 为一实施例的动态信息服务器的模块图；
图 6 为一实施例的客户端模块图。
【具体实施方式】
图 1 示出了本发明的展示好友动态的方法流程，包括如下步骤：
在步骤 S10 中，根据好友关系链，将好友动态生成动态信息。本实施例中，好友关系链包括了用户的所有好友信息及联系人信息，例如，用户 A 与 B 、 C 、 D 是网络好友，那么 B 、 C 、 D 以及他们的相关信息就是用户 A 的最简单的好友关系链。好友动态是用户的好友在 SNS 网络空间中所触发的事件，将好友动态生成动态信息，以便于用户在进入 SNS 网络空间中查看，例如，可将用户的好友关系链中的好友动态打包成文件格式为 feed 类型的动态信息。若用户 A 的网络好友 B 在 SNS 网络空间中发布了一篇日志，则对于用户 A 而言，其网络好友 B 的好友动态是 B 发布一篇日志，生成记录了这一好友动态的动态信息，该动态信息的文件格式可为 feed 类型。
在步骤 S20 中，将动态信息根据预设的分类规则进行分类，得到相应的分类集合。本实施例中，分类规则包括了信息属性、好友属性或用户事件属性中的一种或两种以上。具体地，对于每一条动态信息，都拥有着许多的不同的信息属性，该信息属性可以包括信息类型、信息产生时间等。例如，信息类型是日志、相册、留言、参与或发起的投票等。好友属性可源自于好友关系链，包括了年龄、性别、好友所属的用户分组、好友所在的群组等。通过调研或者观察用户行为，以获取用户事件属性，该用户事件属性包括了用户的动态、用户所关注的关键字以及用户需求等。例如，通过调研获知用户希望收到汽车、旅行方面的信息，则当前的用户事件属性是获取汽车、旅行方面的信息。若获知用户的动态为查找关于教育方面的资讯，则当前的用户事件属性是获取教育方面的信息。若当前用户使用频率最高的词组为环保，则此时用户所关注的关键字为'环保'，当前的用户事件属性是获取环保方面的信息。获取信息属性、好友属性或用户事件属性中的一种或两种以上作为分类规则，从而对海量的动态信息根据所获取得到的分类规则进行分类，例如，若所获取的分类规则是信息属性，则根据信息属性来对动态信息进行分类。如前所述，由于信息属性包括了信息类型、信息产生时间，因此分别根据信息类型、信息产生时间来分别对动态信息进行分类，得到与信息类型相关的分类集合及与信息产生时间相关的分类集合。
在步骤 S30 中，采集筛选条件，从分类集合中提取满足筛选条件的动态信息并显示。本实施例中，采集用户所输入的筛选条件，根据该用户设定的筛选条件，从分类集合中提取满足了筛选条件的动态信息并显示出来。例如，筛选条件可以是时间为最近 3 天的日志。此外，用户还可以选择多个筛选条件，例如筛选条件可以是我的好友中最近 3 天的日志和相册。
图 2 示出了一实施例中展示好友动态的方法流程，包括如下步骤：
在步骤 S201 中，根据好友关系链，将好友动态生成动态信息。本实施例中，在用户登录后，根据该用户所属的好友关系链，获取好友关系链中所有的好友及联系人所触发的 SNS 网络空间动态，从而生成相关的动态信息。例如，好友动态可以是好友关系链中的一好友在 SNS 网络空间中分享了照片。
在步骤 S202 中，根据预设的分类规则，提取动态信息中与分类规则相关的属性。本实施例中，根据信息属性、好友属性或用户事件属性中一种或两种以上的分类规则，从动态信息中提取出与分类规则相关的属性。例如，若分类规则为信息属性，则从动态信息中提取所有的信息属性，如信息类型的属性、信息产生时间的属性等。
在步骤 S203 中，根据属性对动态信息进行分类。本实施例中，根据所提取到的属性，逐一对好友关系链中的好友动态信息进行分类。
在步骤 S204 中，采集筛选条件。本实施例中，通过交互界面获取用户所输入的筛选条件，该交互界面如图 3 所示。在交互界面中，所采集到的筛选条件为来自于我的好友中的最近 3 天的所有日志和相册。
在步骤 S205 中，获取与筛选条件相对应的分类集合。本实施例中，根据筛选条件，过滤分类集合，以获得完全满足了筛选条件的动态信息。
在其他实施例中，该筛选条件为多个筛选条件，在步骤 S205 之后还包括对筛选后的分类集合取交集的步骤。本实施例中，如果筛选条件的数量为多个，根据筛选条件所过滤得到的多个分类集合之间，存在着相同的动态信息，也存在着不同的动态信息，为使得到的动态信息满足所有的筛选条件，需要对筛选后的分类集合取交集。
在步骤 S206 中，提取动态信息并显示。本实施例中，将提取出的动态信息显示于好友的 SNS 网络空间中，以便于用户查看好友动态。
图 4 示出了本发明的展示好友动态的系统，该系统包括聚合服务器 10 、动态信息服务器 20 及客户端 30 ，其中：
聚合服务器 10 ，用于根据好友关系链，将好友动态生成动态信息。本实施例中，聚合服务器 10 根据好友关系链中的所有好友信息及联系人信息，将好友动态生成动态信息。
动态信息服务器 20 ，用于将动态信息根据预设的分类规则进行分类，得到相应的分类集合。本实施例中，如前所述，动态信息服务器 20 所获取到的分类规则包括了信息属性、好友属性或用户事件属性中的一种或两种以上。
客户端 30 ，用于采集筛选条件，从分类集合中提取满足筛选条件的动态信息并显示。本实施例中，客户端 30 采集用户所输入的筛选条件，根据该用户设定的筛选条件，从分类集合中提取满足了筛选条件的动态信息并显示出来。
图 5 示出了一实施例的动态信息服务器，该动态信息服务器 20 包括提取模块 201 及分类模块 202 ，其中：
提取模块 201 ，用于根据预设的分类规则，提取动态信息中与分类规则相关联的属性。本实施例中，提取模块 201 根据信息属性、好友属性或用户事件属性中一种或两种以上的分类规则，从动态信息中提取出与分类规则相关的属性。
分类模块 202 ，用于根据属性对动态信息进行分类。本实施例中，分类模块 202 根据所提取到的属性，逐一对好友关系链中的好友动态信息进行分类。
图 6 示出了一实施例的客户端，该客户端 30 包括识别模块 301 、筛选模块 302 及显示模块 303 ，其中：
识别模块 301 ，采集筛选条件。本实施例中，识别模块 301 通过交互界面获取用户所输入的筛选条件。
筛选模块 302 ，用于获取与筛选条件相对应的分类集合。本实施例中，筛选模块 302 根据筛选条件，过滤分类集合，以获得完全满足了筛选条件的动态信息。
在其他实施例中，若筛选条件为多个筛选条件，则客户端 30 还包括合并模块，该合并模块用于对筛选后的分类集合取交集。本实施例中，如果筛选条件的数量为多个，则根据筛选条件所过滤得到的多个分类集合之间，存在着相同的动态信息，也存在着不同的动态信息，为使得到的动态信息满足所有的筛选条件，需要客户端 30 中的合并模块对筛选后的分类集合取交集。
显示模块 303 ，用于提取动态信息，并显示。
本 发明还提供了一种存储了计算机可执行指令的计算机存储介质，该计算机可执行指令用于执行上述展示好友动态的方法。
下面结合一个详细的实施例阐述展示好友动态的方法及系统、计算机存储介质，该实施例中，用户登录客户端 30 ，聚合服务器 10 获取好友关系链中所有的好友及联系人所触发的 SNS 网络空间动态，打包生成文件格式为 feed 类型的动态信息，从而提取模块 201 对所获取到的动态信息分别提取其信息属性、好友属性，分类模块 202 根据信息类型、信息产生时间、年龄、性别、好友所属的用户分组、好友所在的群组分别对动态信息进行分类，形成分类集合。客户端 30 的识别模块 301 从如图 3 所示的交互界面中获取用户所输入的筛选条件，其筛选条件为信息产生时间为最近 3 天、好友所属的用户分组为我的好友、信息类型为日志和相册。由于该筛选条件为多个，则筛选模块 302 根据筛选条件过滤得到的分类集合，合并模块对该分类集合取交集，得到动态信息，以便于显示模块 303 向用户展示。
上述展示好友动态的方法及系统中通过对好友动态进行分类后过滤，得到满足了用户所输入的筛选条件的好友动态，并显示，实现了在海量信息中进行快速筛选，为用户迅速提供其所有好友的有效的动态信息和内容，满足了个性化浏览的需求。
以上所述实施例仅表达了本发明的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干变形和改进，这些都属于本发明的保护范围。因此，本发明专利的保护范围应以所附权利要求为准。

Claims (15)

  1. 一种展示好友动态的方法，包括如下步骤：
    根据好友关系链，将好友动态生成动态信息；
    将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；
    采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示。
  2. 根据权利要求 1 所述的展示好友动态的方法，其特征在于，所述将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合的步骤是：
    根据预设的分类规则，提取所述动态信息中与所述分类规则相关联的属性；
    根据所述属性对所述动态信息进行分类，形成分类集合。
  3. 根据权利要求2所述的展示好友动态的方法，其特征在于，所述分类规则包括信息属性、好友属性或用户事件属性中的一种或两种以上。
  4. 根据权利要求 1 至 3 中任意一项所述的展示好友动态的方法，其特征在于，所述采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示的步骤是：
    采集筛选条件；
    获取与所述筛选条件相对应的分类集合；
    从所述分类集合中提取动态信息并显示。
  5. 根据权利要求 4 所述的展示好友动态的方法，其特征在于，所述筛选条件为多个筛选条件，所述获取与所述筛选条件相对应的分类集合的步骤之后还包括：
    对筛选后的分类集合取交集的步骤。
  6. 一种展示好友动态的系统，其特征在于，至少包括：
    聚合服务器，用于根据好友关系链，将好友动态生成动态信息；
    动态信息服务器，用于将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；
    客户端，用于采集筛选条件，从所述分类集合中提取满足筛选条件的动态信息并显示。
  7. 根据权利要求 6 所述的展示好友动态的系统，其特征在于，所述动态信息服务器包括：
    提取模块，用于根据预设的分类规则，提取所述动态信息中与所述分类规则相关联的属性；
    分类模块，用于根据所述属性对所述动态信息进行分类，形成分类集合。
  8. 根据权利要求7所述的展示好友动态的系统，其特征在于，所述提取模块所根据的分类规则包括信息属性、好友属性或用户事件属性中的一种或两种以上。
  9. 根据权利要求 6 至 8 任意一项所述的展示好友动态的系统，其特征在于，所述客户端包括：
    识别模块，用于采集筛选条件；
    筛选模块，用于获取与所述筛选条件相对应的分类集合；
    显示模块，用于从所述分类集合中提取动态信息，并显示。
  10. 根据权利要求 9 所述的展示好友动态的系统，其特征在于，所述筛选条件为多个筛选条件，所述客户端还包括：
    合并模块，用于对筛选后的分类集合取交集。
  11. 一种用于存储计算机可执行指令的计算机存储介质，所述计算机可执行指令用于控制计算机执行一种展示好友动态的方法，其特征在于，所述方法包括：
    根据好友关系链，将好友动态生成动态信息；
    将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合；
    采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示。
  12. 根据权利要求 11 所述的计算机存储介质，其特征在于，所述将所述动态信息根据预设的分类规则进行分类，得到相应的分类集合的步骤为：
    根据预设的分类规则，提取所述动态信息中与所述分类规则相关联的属性；
    根据所述属性对所述动态信息进行分类，形成分类集合。
  13. 根据权利要求12所述的计算机存储介质，其特征在于，所述分类规则包括信息属性、好友属性或用户事件属性中的一种或两种以上。
  14. 根据权利要求 11 至 13 中任意一项所述的计算机存储介质，其特征在于，所述采集筛选条件，从所述分类集合中提取满足所述筛选条件的动态信息并显示的步骤为：
    采集筛选条件；
    获取与所述筛选条件相对应的分类集合；
    从所述分类集合中提取动态信息并显示。
  15. 根据权利要求 14 所述的计算机存储介质，其特征在于，所述筛选条件为多个筛选条件，所述获取与所述筛选条件相对应的分类集合的步骤之后还包括：
    对筛选后的分类集合取交集的步骤。
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