WO2016201963A1 - 应用程序的推送方法及装置 - Google Patents

应用程序的推送方法及装置 Download PDF

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WO2016201963A1
WO2016201963A1 PCT/CN2016/070333 CN2016070333W WO2016201963A1 WO 2016201963 A1 WO2016201963 A1 WO 2016201963A1 CN 2016070333 W CN2016070333 W CN 2016070333W WO 2016201963 A1 WO2016201963 A1 WO 2016201963A1
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application
user
dimensional
module
label
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PCT/CN2016/070333
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English (en)
French (fr)
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刘春河
叶椿建
李平
张晨
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赤子城网络技术（北京）有限公司
刘春河
叶椿建
李平
张晨
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Publication of WO2016201963A1 publication Critical patent/WO2016201963A1/zh

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    • 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
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G06F16/9562—Bookmark management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • 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

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  • the invention belongs to the technical field of the Internet and relates to a method and a device for accurately pushing an application.
  • Google App Store has surpassed Apple's App Store in the number of mobile apps, and the number of developers developing apps for Android is more than that of Apple or Amazon mobile platforms. According to statistics, the number of applications in the Google App Store is 1.43 million, while Apple's is 1.21 million, Amazon's is 293,000; Google's platform attracts 388,000 developers, Apple's number is 282,000, Amazon It is 48,000.
  • a commonly used application push method may be: pushing an application similar to the downloaded application to the user according to the application downloaded by the user. For example, when a user downloads a music playing application, other various music playing applications are pushed to the user; and when the user downloads a certain game program, a similar game program is pushed to the user.
  • the above push method can only be pushed when the user downloads the application, and if the user does not actively download the application for a long time, the user cannot be pushed; meanwhile, another possible premise of the existing push method is that the user is in the user.
  • An application has been installed on the terminal to push another application similar to the application. If the application is not installed on the user's terminal, the user cannot be provided with the required or may need Pushing of certain types of applications; in addition, existing push methods are more difficult to collect and analyze user characteristics, and cannot provide accurate push.
  • the object of the present invention is to make up for the above-mentioned deficiencies of the prior art, and to provide a push method and apparatus that can accurately push an application to a user.
  • the present invention provides a method for pushing an application, which includes the following steps:
  • Step S01 collecting application information used by the user
  • Step S02 analyzing the application information, adding a multi-dimensional label to the user, where the multi-dimensional label corresponds to multiple user feature information of the user;
  • Step S03 filtering out an application that meets the multi-dimensional label
  • step S04 the filtered application is pushed to the user.
  • step S01 includes collecting application information used by the user during the time interval every preset time interval, the application information including one or more types of applications, the number of operations, and/or the running time.
  • the application information includes information stored on the terminal and/or information stored in the cloud.
  • step S02 includes analyzing the application information, and adding a multi-dimensional label to the user by the number of runs and/or the type of the application whose runtime is higher than a preset threshold.
  • the pushing method further includes adding a preferentially pushed label to the application if the collected application information includes one or more application running times and/or a running time is lower than a preset threshold.
  • An application that is of the same type or similar type as the application and that conforms to the multi-dimensional tag is preferentially pushed.
  • the pushing method further includes: real-time monitoring whether an application is deleted, and if yes, adding a preferentially pushed label to the deleted application, preferentially pushing the same type or a similar type as the deleted application, And conform to the multi-dimensional tag application.
  • the pushing method further comprises: performing multi-dimensional classification on all existing applications in advance, the multi-dimensional classification is in one-to-one correspondence with the multi-dimensional labels, and step S03 comprises: filtering out the corresponding multi-dimensional classified application according to the multi-dimensional labels.
  • the multi-dimensional tag is selected from one or more of gender, age, occupation, education, geography, and hobbies.
  • the present invention also provides a push device for an application, comprising:
  • An application information collection module for collecting application information used by a user
  • An application information analysis module for analyzing collected application information
  • a label adding module configured to add a multi-dimensional label to the user according to the analyzed application information, to correspond to the plurality of user feature information of the user;
  • An application screening module configured to filter out an application conforming to the multi-dimensional label according to the multi-dimensional label
  • An application push module for pushing the filtered application to the user.
  • the pushing device further includes a clock module, configured to, at every preset time interval, instruct the application information collecting module to collect application information used by the user during the time interval, where the application information includes a Or the type, number of runs, and/or runtime of multiple applications.
  • the application information is stored in the terminal memory and/or in the cloud server memory.
  • the application information analysis module is configured to determine whether the running time and/or the running time of the application is higher than a preset threshold, and if yes, the label adding module uses a type of the application higher than a preset threshold. Add multidimensional labels to users.
  • the application information analysis module is further configured to determine whether the application information collected by the application information collection module includes one or more application running times and/or a running time lower than a preset threshold. If yes, the label adding module adds a preferentially pushed label to the application, and the application pushing module preferentially pushes an application of the same type or similar type as the application and conforms to the multi-dimensional label.
  • the pushing device further includes a monitoring module, configured to monitor in real time whether an application is deleted, and if so, the label adding module adds a preferentially pushed label to the deleted application, and the application pushing module takes precedence.
  • a monitoring module configured to monitor in real time whether an application is deleted, and if so, the label adding module adds a preferentially pushed label to the deleted application, and the application pushing module takes precedence.
  • An application of the same type or similar type as the deleted application and conforming to the multi-dimensional tag is pushed.
  • the pushing device further includes a classification module, configured to perform multi-dimensional classification on all existing applications in advance, the multi-dimensional classification and the multi-dimensional label are in one-to-one correspondence; and the storage module is configured to store classification information of the application.
  • the storage module can also store related information such as the name, type, and download link of the application.
  • the multi-dimensional tag is selected from one or more of gender, age, occupation, education, geography, and hobbies.
  • the method and device for pushing the application program collects and analyzes the application information used by the user, adds a multi-dimensional label to the user to correspond to multiple user characteristic information of the user, and then filters out the application conforming to the multi-dimensional label and pushes To the user.
  • the invention can analyze the application program used by the user, obtain multiple feature information of the user, filter the existing application program with the feature information, and filter out the application program that meets the characteristic information and push it to the user, thereby improving the push. Accuracy allows users to get the applications they really need, and at the same time, the invention is both fast and convenient.
  • FIG. 1 is a schematic flow chart of a pushing method according to a first embodiment of the present invention
  • FIG. 2 is a schematic structural view of a pushing device according to a first embodiment of the present invention.
  • FIG. 3 is a schematic flowchart of a pushing method according to a second embodiment of the present invention.
  • FIG. 4 is a schematic structural view of a pushing device according to a second embodiment of the present invention.
  • FIG. 5 is a schematic flowchart diagram of a pushing method according to a third embodiment of the present invention.
  • Fig. 6 is a schematic structural view of a pushing device according to a third embodiment of the present invention.
  • the method and device for pushing the application program of the embodiment are used to improve the accuracy of pushing the application to the user.
  • the present invention can be applied to any existing electronic device, such as a smart phone. , Pad, personal computer, smart TV, e-book reader, etc.
  • the push method of the application of this embodiment includes the following steps:
  • Step S101 collecting application information used by the user
  • Step S102 analyzing application information, adding a multi-dimensional label to the user, and the multi-dimensional label corresponds to the plurality of user characteristic information of the user;
  • Step S103 filtering out an application that conforms to the multi-dimensional label
  • step S104 the filtered application is pushed to the user.
  • the pushing device of this embodiment includes:
  • the application information collecting module 11 is configured to collect application information used by the user
  • the application information analysis module 12 is configured to analyze application information collected by the foregoing module
  • a label adding module 13 is configured to add a multi-dimensional label to the user according to the application information analyzed by the module to correspond to multiple user feature information of the user;
  • An application screening module 14 is configured to filter out an application conforming to the multi-dimensional label according to the added multi-dimensional label
  • the application pushing module 15 is configured to push the filtered application to the user.
  • the method and device for pushing the application of the embodiment of the present invention collects and analyzes the application information used by the user, adds a multi-dimensional label to the user, and correspondingly selects multiple user feature information of the user, and then filters out the application that conforms to the multi-dimensional label and Push to the user.
  • the application used by the user can be analyzed, and multiple feature information of the user is obtained, and the existing application is filtered by using the feature information, and the application that matches the feature information is filtered and pushed to the user, thereby improving the push. Accuracy, so that users get the applications they really need, at the same time, this embodiment is fast And convenient.
  • the method and device for pushing the application program of the embodiment are used to improve the accuracy of pushing the application to the user, and the present invention can be applied to any existing electronic device, such as a smart phone. , Pad, personal computer, smart TV, e-book reader, etc.
  • the push method of the application of this embodiment includes the following steps:
  • Step S201 Collect application information used by the user during the time interval every preset time interval, where the application information includes one or more types of applications, the number of operations, and/or the running time.
  • the preset time interval may be one hour, half day, one day, one month, etc., or may be set according to actual conditions, in order to periodically collect and obtain the user's use of the application.
  • the application information is the specific case of the user using the application, and may include the type, the number of runs, and/or the running time of all used applications in the time interval, and the information may be information stored on the terminal used by the user.
  • an application installed on a smart phone may also be information stored in the cloud.
  • the user does not install some applications on the smart phone that is carried by the user, but installs these applications on another home notebook.
  • the information for these applications is uploaded to the cloud server, so these applications can also reflect some of the characteristics of the user.
  • Step S202 analyzing the application information, including the type of the application used by the user, the number of runs, and/or the running time, analyzing which applications are commonly used by the user, and adding multi-dimensional labels to the user by using the types of the applications, and the multi-dimensional labels are Corresponding to multiple user feature information of the user.
  • the multi-dimensional label can be set according to actual needs, such as one or more of gender, age, occupation, education, region and hobbies.
  • user 1 opens a "Lianliankan” game every day and runs for more than half an hour, and the preset threshold is half a day and 10 minutes, then the analysis determines that the application is a user's common application, and can The user adds a "casual game” tag of the hobby class; at the same time, the user 1 installs the "aunt helper" on the smartphone, and according to the type of the application, the probability that the user is female is very large, You can continue to add a "female” gender class tag to the user. In this way, User 1 has a two-dimensional label that is implemented as a precise image of the user.
  • User 2 installs “Fitness Assistant”, “Eight Abdominal Muscle”, “Knife Tower”, “LinkedIn” and other applications on his smartphone, and User 2 opens “Knife Tower Legend” every day. The time is about 1-2 hours, and User 2 occasionally opens “LinkedIn” and runs for about 0.5-1 hours. From the analysis of these application information, it can be determined that User 2 is likely Is a male, is likely to like to play games, it is likely to be white-collar workers, it is likely to have fitness habits, therefore, add "male” gender tags to users 2, “white-collar” professional tags or social tags, "card games "Hobbies category tags, "fitness” hobbies category tags. In this way, User 2 has a four-dimensional label that is more accurate.
  • the accuracy of a certain dimension probability can also be judged according to the number of times the user runs in the time interval. For example, the probability that the user 2 can be considered as a male is 80%, the probability of playing a game is 75%, and the white-collar The probability is 80%, and the probability of having fitness habits is 60%.
  • the running times and/or the running time is higher than a certain preset threshold value, determining whether it is a common application, and adding a multi-dimensional label to the user with a type of the application higher than a preset threshold, such as The above settings for User 2.
  • Step S203 filtering out an application that conforms to the multi-dimensional label.
  • the application filtered by this step does not have to meet all multi-dimensional tags. If no application that matches all multi-dimensional tags is found, the application that meets the most multi-dimensional tags can be listed to be as close as possible to the user's feature information.
  • the pushing method can perform multi-dimensional classification on all existing applications in advance, and the multi-dimensional classification corresponds to the multi-dimensional label one by one, for example, the application “LinkedIn” can be classified into “white collar”, “male”, “female”; Block abdominal muscles can be classified as “fitness”, “male” and the like.
  • This step is to filter out the corresponding multi-dimensional classification application according to the multi-dimensional label, such as according to the three-dimensional labels such as "male", “white collar”, “card game”, and the like to select “male", “white collar” and " “Card game” and other three-dimensional classified applications "I am MT” and so on.
  • step S204 the filtered application is pushed to the user.
  • the push time can be determined according to actual needs and the time interval for collecting application information, such as pushing every day at noon.
  • the push screen can be pushed on the first screen of the smart phone system.
  • the present invention has the push screen device of the present invention by prefabricating an App icon on the first screen interface of the smart phone.
  • the push method of the present invention is implemented, and after the pushed application is displayed on the App icon, if the number of push applications is displayed by numbers, the user can click the icon to jump to the download page.
  • the pushing device of this embodiment includes:
  • An application information collection module 21 configured to collect application information used by the user
  • the clock module 26 is configured to, at every preset time interval, instruct the application information collection module 21 to collect application information used by the user during the time interval, the application information including one or more types of applications, the number of operations, and/or Running time;
  • the application information analysis module 22 is configured to determine whether the running time and/or the running time of the application is higher than a preset threshold. If yes, the tag adding module 23 uses the type of the application higher than the preset threshold to the user. Add multidimensional labels;
  • a label adding module 23 configured to add a multi-dimensional label to the user to correspond to multiple user feature information of the user;
  • An application screening module configured to filter out an application conforming to the multi-dimensional label according to the added multi-dimensional label
  • the application pushing module 25 is configured to push the filtered application to the user.
  • the pushing device of the embodiment further includes a classification module 27, configured to perform multi-dimensional classification on all existing applications in advance, and the multi-dimensional classification corresponds to the multi-dimensional label one by one;
  • the storage module 28 is configured to store the classification information of the application. .
  • the storage module 28 can also store related information such as the name, type, and download link of the application.
  • the application screening module 24 can filter out the multi-dimensional tag-compliant application from the storage module 28.
  • the application push module 25 can push the related information such as the name, type, download link, and the like of the filtered application from the storage module 28 as push content.
  • the application pushing method of this embodiment is based on the second embodiment, and further includes determining whether the application information includes the running times of the one or more applications and/or the running time is lower than a preset threshold. If yes, a priority push tag is added to the application, and the application of the same type or similar type and conforming to the multi-dimensional tag is preferentially pushed.
  • the purpose of this step is to determine whether the user has an application that is installed or not used or is idle. It can be roughly judged that the user has certain interests and needs for such an application, but the installed software may not fully meet the user's needs, so In this step, the application of the same type or similar type and conforming to the user characteristic information can be pushed to the user to improve the accuracy of the push.
  • the pushing method of the embodiment further includes real-time monitoring whether an application is deleted, and if yes, adding a preferentially pushed label to the deleted application, and preferentially pushing the same type or similar type as the deleted application. And the application that conforms to the multidimensional tag.
  • This step can roughly determine that the user has certain interests and needs for such applications, but the deleted application may not fully meet the user's needs. Therefore, this step can be of the same type or similar type and meets the user characteristic information.
  • the application is pushed to the user to improve the accuracy of the push.
  • the pushing device of this embodiment further includes a monitoring module 29, configured to monitor in real time whether an application is deleted, and if so, the label adding module adds a preferentially pushed label to the deleted application.
  • the application push module preferentially pushes an application of the same type or similar type as the deleted application and conforms to the multi-dimensional tag.

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Abstract

一种应用程序的推送方法及装置，通过收集并分析用户使用的应用程序信息，对用户添加多维标签，以对应用户的多个用户特征信息，随后筛选出符合多维标签的应用程序并推送给用户。该方法和装置可以对用户使用过的应用程序进行分析，得到用户的多个特征信息，以这些特征信息对已有应用程序进行筛选，筛选出符合这些特征信息的应用程序推送给用户，从而提高推送的精准性，使用户获得真正需要的应用程序，同时兼具快速和便捷。

Description

应用程序的推送方法及装置 技术领域
本发明属于互联网技术领域，涉及一种对应用程序进行精准推送的方法及装置。
技术背景
随着互联网技术的发展和智能手机的普及，可被应用在智能手机中的App(Application，应用程序)也日益增多。
据appFigures提供的数据显示，谷歌应用商店已在移动应用数量上超过了苹果的App Store，为安卓开发应用的开发者在数量上也较支持苹果或亚马逊移动平台的要更多。据统计，谷歌应用商店中的应用数量为143万，而苹果的则为121万，亚马逊的是29.3万；谷歌的平台吸引了38.8万名开发者，苹果的这一数量为28.2万，亚马逊则为4.8万。
应用程序数量的爆炸式增长不但给移动互联网带来了新的商机，同样也带来了新的问题。用户在庞大的App商店中举步维艰，他们很多时候不知道该选择什么应用，也不知道哪些应用适合自己。用户通常需要到应用商店或者App的下载网页上查找并获取App，这种获取App的方式比较繁琐，为了便于用户快速获取App，可以向用户提供主动推送App的服务。
常用的应用程序推送方法可以为：根据用户下载的应用程序，向该用户推送与下载的应用程序相似的应用程序。比如当用户下载某个音乐播放应用程序时，则向该用户推送其他各种音乐播放应用程序；又如当用户下载某一个游戏程序时，则向该用户推送相似的游戏程序。
然而，上述推送方法仅能在用户下载应用程序时进行推送，如果用户长时间没有主动下载应用程序，则无法向该用户进行推送；同时，现有推送方法的另一个可能的前提是用户在其终端上已经安装了某个应用程序，才能推送与该应用程序相类似的另一款应用程序，如果用户的终端上没有安装这个类型的应用程序，就无法为该用户提供所需要的或可能需要的某类应用程序的推送；此外，现有推送方法更无法收集、分析用户的特征，无法提供精准推送。
因此，如何提供一种应用程序的推送方法和装置，为用户精准、快速、便捷地推送用户所需要的应用程序，是本领域技术人员亟待解决的技术问题之一。
发明概要
本发明的目的在于弥补上述现有技术的不足，提供一种可以对用户进行应用程序精准推送的推送方法及装置。
为实现上述目的，本发明提供一种应用程序的推送方法，其包括以下步骤：
步骤S01，收集用户使用的应用程序信息；
步骤S02，分析所述应用程序信息，对所述用户添加多维标签，所述多维标签对应所述用户的多个用户特征信息；
步骤S03，筛选出符合所述多维标签的应用程序；
步骤S04，向所述用户推送筛选出的应用程序。
进一步地，步骤S01包括每隔预设时间间隔，收集所述时间间隔内用户使用的应用程序信息，所述应用程序信息包括一个或多个应用程序的类型、运行次数和/或运行时长。
进一步地，所述应用程序信息包括存储于终端上的信息和/或存储于云端上的信息。
进一步地，步骤S02包括分析所述应用程序信息，以运行次数和/或运行时长高于一预设阈值的应用程序的类型，对所述用户添加多维标签。
进一步地，所述推送方法还包括若收集到的应用程序信息包含一个或多个应用程序的运行次数和/或运行时长低于一预设阈值，则对所述应用程序添加优先推送的标签，优先推送与所述应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
进一步地，所述推送方法还包括实时监测是否有应用程序被删除，若是，则对所述被删除的应用程序添加优先推送的标签，优先推送与所述被删除应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
进一步地，所述推送方法还包括，预先对已有所有应用程序进行多维分类，所述多维分类与多维标签一一对应，步骤S03包括根据所述多维标签，筛选出对应多维分类的应用程序。
进一步地，所述多维标签选自性别、年龄、职业、教育、地域和兴趣爱好中的一个或多个。
为实现上述目的，本发明还提供一种应用程序的推送装置，其包括：
应用程序信息收集模块，用于收集用户使用的应用程序信息；
应用程序信息分析模块，用于分析收集到的应用程序信息；
标签添加模块，用于根据分析的应用程序信息，对所述用户添加多维标签，以对应所述用户的多个用户特征信息；
应用程序筛选模块，用于根据所述多维标签，筛选出符合多维标签的应用程序；
应用程序推送模块，用于将筛选出的应用程序推送给所述用户。
进一步地，所述推送装置还包括时钟模块，用于在每隔预设时间间隔，指令所述应用程序信息收集模块收集所述时间间隔内用户使用的应用程序信息，所述应用程序信息包括一个或多个应用程序的类型、运行次数和/或运行时长。
进一步地，所述应用程序信息存储于终端内存内和/或云端服务器内存内。
进一步地，所述应用程序信息分析模块用于判断应用程序的运行次数和/或运行时长是否高于一预设阈值，若是，则由标签添加模块以高于预设阈值的应用程序的类型，对用户添加多维标签。
进一步地，所述应用程序信息分析模块还用于判断所述应用程序信息收集模块收集到的应用程序信息是否包含一个或多个应用程序的运行次数和/或运行时长低于一预设阈值，若是，则由标签添加模块对所述应用程序添加优先推送的标签，由应用程序推送模块优先推送与所述应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
进一步地，所述推送装置还包括监测模块，用于实时监测是否有应用程序被删除，若是，则由标签添加模块对所述被删除的应用程序添加优先推送的标签，由应用程序推送模块优先推送与所述被删除应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
进一步地，所述推送装置还包括分类模块，用于预先对已有所有应用程序进行多维分类，所述多维分类与多维标签一一对应；存储模块，用于存储应用程序的分类信息。其中，存储模块还可以存储应用程序的名称、类型、下载链接等相关信息。
进一步地，所述多维标签选自性别、年龄、职业、教育、地域和兴趣爱好中的一个或多个。
本发明提供的应用程序的推送方法及装置，通过收集并分析用户使用的应用程序信息，对用户添加多维标签，以对应用户的多个用户特征信息，随后筛选出符合多维标签的应用程序并推送给用户。本发明可以对用户使用过的应用程序进行分析，得到用户的多个特征信息，以这些特征信息对已有应用程序进行筛选，筛选出符合这些特征信息的应用程序推送给用户，从而提高推送的精准性，使用户获得真正需要的应用程序，同时，本发明兼具快速和便捷。
附图说明
为能更清楚理解本发明的目的、特点和优点，以下将结合附图对本发明的较佳实施例进行详细描述，其中：
图1为本发明第一实施例推送方法的流程示意图；
图2为本发明第一实施例推送装置的结构示意图；
图3为本发明第二实施例推送方法的流程示意图；
图4为本发明第二实施例推送装置的结构示意图；
图5为本发明第三实施例推送方法的流程示意图；
图6为本发明第三实施例推送装置的结构示意图。
发明内容
第一实施例
请同时参阅图1和图2，本实施例的应用程序的推送方法和装置，用于提高对用户推送应用程序的精准性，本发明可应用于现有的任一电子设备中，如智能手机、Pad、个人计算机、智能电视、电子书阅读器等等。
如图1所示，本实施例的应用程序的推送方法包括以下步骤：
步骤S101，收集用户使用的应用程序信息；
步骤S102，分析应用程序信息，对用户添加多维标签，多维标签对应用户的多个用户特征信息；
步骤S103，筛选出符合多维标签的应用程序；
步骤S104，向用户推送筛选出的应用程序。
本实施例的推送装置如图2所示，包括：
应用程序信息收集模块11，用于收集用户使用的应用程序信息；
应用程序信息分析模块12，用于分析上述模块收集到的应用程序信息；
标签添加模块13，用于根据上述模块分析的应用程序信息，对用户添加多维标签，以对应用户的多个用户特征信息；
应用程序筛选模块14，用于根据添加的多维标签，筛选出符合多维标签的应用程序；
应用程序推送模块15，用于将筛选出的应用程序推送给所述用户。
本发实施例的应用程序的推送方法及装置，通过收集并分析用户使用的应用程序信息，对用户添加多维标签，以对应用户的多个用户特征信息，随后筛选出符合多维标签的应用程序并推送给用户。本实施例可以对用户使用过的应用程序进行分析，得到用户的多个特征信息，以这些特征信息对已有应用程序进行筛选，筛选出符合这些特征信息的应用程序推送给用户，从而提高推送的精准性，使用户获得真正需要的应用程序，同时，本实施例兼具快速 和便捷。
第二实施例
请同时参阅图3和图4，本实施例的应用程序的推送方法和装置，用于提高对用户推送应用程序的精准性，本发明可应用于现有的任一电子设备中，如智能手机、Pad、个人计算机、智能电视、电子书阅读器等等。
如图3所示，本实施例的应用程序的推送方法包括以下步骤：
步骤S201，每隔预设时间间隔，收集该时间间隔内用户使用的应用程序信息，该应用程序信息包括一个或多个应用程序的类型、运行次数和/或运行时长。
其中，预设时间间隔可以为一小时、半天、一天、一个月等，也可以根据实际情况而设，目的是为了定时收集获取到用户使用应用程序的情况。应用程序信息即是用户使用应用程序的具体情况，可以包括时间间隔内所有使用过的应用程序的类型、运行次数和/或运行时长，这些信息可以是存储于用户所使用的终端上的信息，如智能手机上安装的应用程序等，也可以是存储于云端上的信息，如用户在随身携带的智能手机上未安装某些应用程序，但在另一台家用笔记本上安装了这些应用程序，并将这些应用程序的信息上传到云端服务器上，因而这些应用程序也能反映出该用户的一些特征。
步骤S202，分析应用程序信息，包括用户使用的应用程序的类型、运行次数和/或运行时长，分析出用户常用哪些应用程序，以这些应用程序的类型，对用户添加多维标签，这些多维标签即对应用户的多个用户特征信息。
其中，多维标签可以根据实际需要进行设定类型，如性别、年龄、职业、教育、地域和兴趣爱好中的一个或多个。
实际应用中，例如，用户1每天都会打开“连连看”游戏，并运行半个小时以上，而预设阈值为半天和10分钟，则分析确定该应用程序为用户的常用应用程序，并可以对该用户添加一个“休闲游戏”的兴趣爱好类的标签；同时，用户1在智能手机上安装了“姨妈助手”，则根据该应用程序的类型，可以分析确定该用户为女性的概率非常大，则可以对该用户继续添加一个“女性”的性别类的标签。这样，用户1就有了一个二维标签，实现为用户的精确造像。
又如，用户2在其智能手机上安装了“健身助手”、“八块腹肌”、“刀塔传奇”、“LinkedIn”等应用程序，且用户2每天都会打开“刀塔传奇”，运行时间约1-2小时，且用户2偶尔会打开“LinkedIn”，运行时间约0.5-1小时，从这些应用程序信息分析，可以确定用户2很可能 是男性，很可能喜欢玩游戏，很可能是白领，很可能有健身习惯，因此，对用户2添加“男性”的性别类标签、“白领”的职业类标签或社交类标签、“卡牌游戏”的兴趣爱好类标签、“健身”的兴趣爱好类标签。这样，用户2就有了一个四维标签，造像更精确。
实际应用中，还可以根据时间间隔内用户运行次数来判断某一维度概率的准确性，如用户2上述行为可以认为其为男性的概率是80％、爱玩游戏的概率是75％、白领的概率是80％、有健身习惯的概率是60％。
较佳地，可以以运行次数和/或运行时长高于某一预设阈值为标准，确定是否为常用应用程序，并以高于预设阈值的应用程序的类型，对用户添加多维标签，如上述对用户2的设置。
步骤S203，筛选出符合多维标签的应用程序。
其中，本步骤筛选出的应用程序并非必须符合全部多维标签，如果没有查找到符合全部多维标签的应用程序，可以列出符合最多多维标签的应用程序，以尽可能接近用户的特征信息。
较佳地，推送方法可以预先对已有所有应用程序进行多维分类，多维分类与多维标签一一对应，如应用程序“LinkedIn”可以分类为“白领”、“男性”、“女性”；“八块腹肌”可以分类为“健身”、“男性”等等。本步骤则为根据多维标签，筛选出对应的多维分类的应用程序，如根据具有“男性”、“白领”、“卡牌游戏”等三维标签，筛选出具有“男性”、“白领”和“卡牌游戏”等三维分类的应用程序“我是MT”等。
步骤S204，向用户推送筛选出的应用程序。
其中，推送时间可以根据实际需要以及收集应用程序信息的时间间隔而定，如每天中午推送一次等。为了提高给用户的体验感受，可以在智能手机系统的首屏进行推送，在一个实施例中，本发明通过预制一个App图标在智能手机的首屏界面，该App即具有本发明的推送装置，实施本发明的推送方法，并在有推送的应用程序之后，在该App图标上予以显示，如以数字显示有推送应用程序的数量，用户点击该图标即可跳转到下载页面。
本实施例的推送装置如图4所示，包括：
应用程序信息收集模块21，用于收集用户使用的应用程序信息；
时钟模块26，用于在每隔预设时间间隔，指令应用程序信息收集模块21收集时间间隔内用户使用的应用程序信息，应用程序信息包括一个或多个应用程序的类型、运行次数和/或运行时长；
应用程序信息分析模块22，用于判断应用程序的运行次数和/或运行时长是否高于一预设阈值，若是，则由标签添加模块23以高于预设阈值的应用程序的类型，对用户添加多维标签；
标签添加模块23，用于对用户添加多维标签，以对应用户的多个用户特征信息；
应用程序筛选模块24，用于根据添加的多维标签，筛选出符合多维标签的应用程序；
应用程序推送模块25，用于将筛选出的应用程序推送给所述用户。
较佳地，本实施例的推送装置还包括分类模块27，用于预先对已有所有应用程序进行多维分类，多维分类与多维标签一一对应；存储模块28，用于存储应用程序的分类信息。其中，存储模块28还可以存储应用程序的名称、类型、下载链接等相关信息。应用程序筛选模块24可以从存储模块28中筛选出符合多维标签的应用程序。应用程序推送模块25可以从存储模块28中将筛选出的应用程序的名称、类型、下载链接等相关信息作为推送内容进行推送。
第三实施例
请参阅图5，本实施例的应用程序推送方法是在第二实施例基础上，还包括判断应用程序信息是否包含一个或多个应用程序的运行次数和/或运行时长低于一预设阈值，若是，则对该应用程序添加优先推送的标签，优先推送与该应用程序同一类型或相似类型、且符合多维标签的应用程序。本步骤的目的是为了判断用户是否有安装后但不常用或闲置的应用程序，可以大致判断用户对此类应用程序有一定的兴趣和需求，但已安装软件可能未能充分满足用户需求，因此，本步骤可以将同类或相似类型的，且符合用户特征信息的应用程序推送给用户，提高推送的精准性。
较佳地，本实施例的推送方法还包括实时监测是否有应用程序被删除，若是，则对该被删除的应用程序添加优先推送的标签，优先推送与该被删除应用程序同一类型或相似类型、且符合该多维标签的应用程序。本步骤可以大致判断用户对此类应用程序有一定的兴趣和需求，但被删除的应用程序可能未能充分满足用户需求，因此，本步骤可以将同类或相似类型的，且符合用户特征信息的应用程序推送给用户，提高推送的精准性。
如图6所示，本实施例的推送装置还包括监测模块29，用于实时监测是否有应用程序被删除，若是，则由标签添加模块对所述被删除的应用程序添加优先推送的标签，由应用程序推送模块优先推送与所述被删除应用程序同一类型或相似类型、且符合所述多维标签的应用程序。

Claims (16)

  1. 一种应用程序的推送方法，其特征在于，其包括以下步骤：
    步骤S01，收集用户使用的应用程序信息；
    步骤S02，分析所述应用程序信息，对所述用户添加多维标签，所述多维标签对应所述用户的多个用户特征信息；
    步骤S03，筛选出符合所述多维标签的应用程序；
    步骤S04，向所述用户推送筛选出的应用程序。
  2. 根据权利要求1所述的推送方法，其特征在于：步骤S01包括每隔预设时间间隔，收集所述时间间隔内用户使用的应用程序信息，所述应用程序信息包括一个或多个应用程序的类型、运行次数和/或运行时长。
  3. 根据权利要求2所述的推送方法，其特征在于：所述应用程序信息包括存储于终端上的信息和/或存储于云端上的信息。
  4. 根据权利要求2所述的推送方法，其特征在于：步骤S02包括分析所述应用程序信息，以运行次数和/或运行时长高于一预设阈值的应用程序的类型，对所述用户添加多维标签。
  5. 根据权利要求1至4任一项所述的推送方法，其特征在于：所述推送方法还包括若收集到的应用程序信息包含一个或多个应用程序的运行次数和/或运行时长低于一预设阈值，则对所述应用程序添加优先推送的标签，优先推送与所述应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
  6. 根据权利要求1至4任一项所述的推送方法，其特征在于：所述推送方法还包括实时监测是否有应用程序被删除，若是，则对所述被删除的应用程序添加优先推送的标签，优先推送与所述被删除应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
  7. 根据权利要求1至4任一项所述的推送方法，其特征在于：所述推送方法还包括，预先对已有所有应用程序进行多维分类，所述多维分类与多维标签一一对应，步骤S03包括根据所述多维标签，筛选出对应多维分类的应用程序。
  8. 根据权利要求7所述的推送方法，其特征在于：所述多维标签选自性别、年龄、职业、教育、地域和兴趣爱好中的一个或多个。
  9. 一种应用程序的推送装置，其特征在于，其包括：
    应用程序信息收集模块，用于收集用户使用的应用程序信息；
    应用程序信息分析模块，用于分析收集到的应用程序信息；
    标签添加模块，用于根据分析的应用程序信息，对所述用户添加多维标签，以对应所述用户的多个用户特征信息；
    应用程序筛选模块，用于根据所述多维标签，筛选出符合多维标签的应用程序；
    应用程序推送模块，用于将筛选出的应用程序推送给所述用户。
  10. 根据权利要求9所述的推送装置，其特征在于：所述推送装置还包括时钟模块，用于在每隔预设时间间隔，指令所述应用程序信息收集模块收集所述时间间隔内用户使用的应用程序信息，所述应用程序信息包括一个或多个应用程序的类型、运行次数和/或运行时长。
  11. 根据权利要求10所述的推送装置，其特征在于：所述应用程序信息存储于终端内存内和/或云端服务器内存内。
  12. 根据权利要求10所述的推送装置，其特征在于：所述应用程序信息分析模块用于判断应用程序的运行次数和/或运行时长是否高于一预设阈值，若是，则由标签添加模块以高于预设阈值的应用程序的类型，对用户添加多维标签。
  13. 根据权利要求9至12任一项所述的推送装置，其特征在于：所述应用程序信息分析模块还用于判断所述应用程序信息收集模块收集到的应用程序信息是否包含一个或多个应用程序的运行次数和/或运行时长低于一预设阈值，若是，则由标签添加模块对所述应用程序添加优先推送的标签，由应用程序推送模块优先推送与所述应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
  14. 根据权利要求9至12任一项所述的推送装置，其特征在于：所述推送装置还包括监测模块，用于实时监测是否有应用程序被删除，若是，则由标签添加模块对所述被删除的应用程序添加优先推送的标签，由应用程序推送模块优先推送与所述被删除应用程序同一类型或相似类型、且符合所述多维标签的应用程序。
  15. 根据权利要求9至12任一项所述的推送装置，其特征在于：所述推送装置还包括分类模块，用于预先对已有所有应用程序进行多维分类，所述多维分类与多维标签一一对应；存储模块，用于存储应用程序的分类信息。其中，存储模块还可以存储应用程序的名称、类型、下载链接等相关信息。
  16. 根据权利要求15所述的推送装置，其特征在于：所述多维标签选自性别、年龄、职业、教育、地域和兴趣爱好中的一个或多个。
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