CN106790392B - Application pushing method and application pushing platform system - Google Patents
Application pushing method and application pushing platform system Download PDFInfo
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Abstract
The invention discloses an application pushing method which comprises the steps of obtaining application coordinates of each application downloaded and installed from an application pushing platform system by a designated client side in a preset coordinate system; each coordinate axis in the preset coordinate system corresponds to a type of preset coordinate classification, and when the application coordinates are a preset number of users to classify corresponding applications, the applications respectively appear in each preset coordinate classification; in a preset coordinate system, determining applications corresponding to application coordinates in a preset range around the application coordinates of each application downloaded and installed from the application push platform system by the appointed client, and selecting the undelivered applications in the appointed client to push to the appointed client. The invention can push different applications for different clients according to habits of different clients, ensures that the pushed applications are more consistent with the use habits of the clients as far as possible, and has good user experience. The invention also discloses an application push platform system based on the method, which is not described herein again.
Description
Technical Field
The invention relates to the field of software pushing, in particular to an application pushing method. The invention also relates to an application pushing platform system.
Background
With the gradual increase of mobile phone Applications (APPs), users and application developers need mobile phones or other mobile terminals to perform pushing services on the APPs, so that the users can know the existing application types and functions in time and select the APPs needed by the users to download.
The existing pushing mode is to sort according to the number of times that a plurality of users download each application, and then push a plurality of applications ranked in the top to the users, in this mode, the application contents pushed to most of the users are the same, but each user has own application habits, it is obviously not very suitable to push the same application list to different users, many users are not used to use the applications in the pushing list, the user experience is poor, and the number of application downloads is small, which affects the benefit of application developers.
Therefore, how to provide an application pushing method and an application pushing platform system capable of improving user experience is a problem that needs to be solved by those skilled in the art at present.
Disclosure of Invention
The invention aims to provide an application pushing method and an application pushing platform system, which can push different applications for different clients according to habits of different clients, ensure that the pushed applications are more consistent with the use habits of the clients as far as possible, and ensure good user experience.
In order to solve the above technical problem, the present invention provides an application push method, which is used for an application push platform system, and the method includes:
acquiring application coordinates of each application downloaded and installed from the application push platform system by a designated client side in a preset coordinate system; each coordinate axis in the preset coordinate system corresponds to a type of preset coordinate classification, and the application coordinates are the times of occurrence of the corresponding application of the application coordinates in each preset coordinate classification when a preset number of users classify the corresponding application;
and in the preset coordinate system, determining the application corresponding to the application coordinate in the preset range around the application coordinate of each application downloaded and installed from the application push platform system by the appointed client, and selecting the application which is not downloaded in the appointed client from the application push platform system to push the application to the appointed client.
Preferably, the applications with the application coordinates obtained after classifying the preset number of users are used as original applications, and the construction process of the preset coordinate system further includes:
acquiring applications downloaded by each client from the application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to the original application in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
collecting application coordinates of the applications downloaded from the application push platform system by each client; when the collection times of one application which does not belong to the original application in the applications downloaded by the client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
Preferably, the obtaining of the application downloaded by each client from the application push platform system further comprises:
dividing the client terminal which downloads the application from the application pushing platform system into a high-frequency client terminal and a low-frequency client terminal according to the quantity of the downloaded application and a preset rule;
the construction process of the preset coordinate system specifically comprises the following steps:
acquiring the application downloaded from the application push platform system by each low-frequency client, and calculating the average value of application coordinates of a plurality of applications belonging to the original application in the downloaded application to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
collecting application coordinates of the applications downloaded from the application push platform system by each low-frequency client; when the collection times of one application which does not belong to the original application in the applications downloaded by the low-frequency client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
Preferably, the preset coordinate system is a three-dimensional coordinate system.
In order to solve the above technical problem, the present invention further provides an application push platform system, including:
the system comprises a characteristic acquisition module, a characteristic acquisition module and a characteristic acquisition module, wherein the characteristic acquisition module is used for acquiring application coordinates of each application downloaded and installed from the application push platform system by a specified client, each coordinate axis in the preset coordinate system corresponds to a type of preset coordinate classification, and the application coordinates are the times of occurrence of the application corresponding to the application coordinates in each preset coordinate classification when a preset number of users classify the corresponding application;
the pushing module is used for determining the applications corresponding to the application coordinates in the preset range around the application coordinates of each application downloaded and installed from the application pushing platform system by the appointed client in the preset coordinate system, and selecting the undelivered applications in the appointed client from the applications to push the undelivered applications to the appointed client;
and the coordinate database is used for storing the application coordinates of each application.
Preferably, the feature acquisition module further comprises:
the original application unit is used for classifying the preset number of users to obtain the application of the application coordinates as original application; storing application coordinates of an original application into the coordinate database;
the first averaging unit is used for acquiring the applications downloaded by each client from the application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to the original application in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
the second averaging unit is used for collecting application coordinates of the applications downloaded by the clients from the application push platform system; when the collection times of one application which does not belong to the original application in the applications downloaded by the client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application until all applications in the application push platform system are added into the original application.
Preferably, the feature acquisition module further comprises:
the client classifying unit is used for dividing the client which downloads the application from the application pushing platform system into a high-frequency client and a low-frequency client according to the quantity of the downloaded application and a preset rule;
correspondingly, the first averaging unit is specifically configured to obtain the applications downloaded by each low-frequency client from the application push platform system, and calculate an average value of application coordinates of a plurality of applications belonging to the original application in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
the second averaging unit is specifically configured to collect application coordinates of applications downloaded by the low-frequency clients from the application push platform system; when the collection times of one application which does not belong to the original application in the applications downloaded by the low-frequency client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
Preferably, the preset coordinate system is a three-dimensional coordinate system.
The invention provides an application pushing method, which comprises the steps of firstly obtaining application coordinates of each application downloaded and installed in each client in a preset coordinate system, and then selecting the application with the distance from the application coordinates in a preset range to push the application to the corresponding client. It can be understood that different users have different habits on the applications to be used, and the habits can be reflected on the application coordinates of the applications downloaded by the users, so that the applications with the application coordinates close to each other generally belong to the same type, and therefore, the applications similar to the applications downloaded by the client are pushed, the pushed applications can be guaranteed to be more in line with the use habits of the client as much as possible, and the possibility that the client downloads the applications is further improved. Therefore, the pushing mode of the invention is different from person to person, different applications can be pushed to different clients according to habits of different clients, and the user experience is good. The invention also provides an application push platform system based on the method, which also has the advantages and is not described herein again.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the prior art and the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a process of applying a push method according to the present invention;
FIG. 2 is a flow chart of a process for constructing a predetermined three-dimensional coordinate system according to the present invention;
fig. 3 is a schematic structural diagram of an application push platform system according to the present invention.
Detailed Description
The core of the invention is to provide an application pushing method and an application pushing platform system, which can push different applications for different clients according to habits of different clients, ensure that the pushed applications are more consistent with the use habits of the clients as far as possible, and ensure good user experience.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an application push method, which is used for an application push platform system, and is shown in fig. 1, wherein fig. 1 is a flow chart of a process of the application push method provided by the invention; the method comprises the following steps:
step s 101: acquiring application coordinates of each application downloaded and installed from an application push platform system by a specified client in a preset coordinate system; each coordinate axis in the preset coordinate system corresponds to one type of preset coordinate classification, and when the application coordinates are a preset number of users classifying corresponding applications, the applications corresponding to the application coordinates respectively appear in each preset coordinate classification;
step s 102: in a preset coordinate system, determining applications corresponding to application coordinates in a preset range around the application coordinates of each application downloaded and installed from the application push platform system by the appointed client, and selecting the undelivered applications in the appointed client to push to the appointed client.
The preset coordinate classification can be set according to the actual situation, and the present invention is not limited to this.
It can be further seen that, after classifying a preset number of users to obtain an application coordinate as an original application, the construction process of the preset coordinate system further includes:
step s 201: acquiring applications downloaded by each client from an application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to original applications in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as first average coordinates;
step s 202: collecting application coordinates of applications downloaded from an application push platform system by each client; when the collection times of one application which does not belong to the original application in the applications downloaded by the client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
It can be understood that if the workload of setting the application coordinates of all applications according to the manner of classifying a plurality of users is too large, only a part of applications can be selected as the original applications, and the rest of applications without coordinates adopt the above averaging manner to obtain stable application coordinates.
Preferably, step s201 further includes:
and dividing the client terminal which downloads the application from the application push platform system into a high-frequency client terminal and a low-frequency client terminal according to the quantity of the downloaded application and a preset rule.
The preset rule is a threshold value of the number of downloaded applications, for example, the clients that have downloaded more than 20 applications from the application push platform are high-frequency clients, and the clients that have downloaded less than 10 applications are low-frequency clients.
Moreover, because the number of applications downloaded on the high-frequency client is large, the second average coordinates finally calculated by the plurality of applications which do not belong to the original application on the high-frequency client are very similar by adopting the average calculation mode, and the difference of different applications is not reflected too much. The above operation preferably employs a low frequency client.
Specifically, referring to fig. 2, fig. 2 is a flowchart of a process for constructing a preset coordinate system according to the present invention; the construction process of the preset coordinate system specifically includes:
step s 301: receiving classification results of a first preset number of users classifying a second preset number of applications respectively;
the first preset number here may be 500, and the second preset number may also be 500, that is, 500 users are respectively found as volunteers, each user respectively classifies 500 applications, the number of classified categories is the same as the dimension of the preset coordinate system, and at this time, the user can know which categories the user needs to be classified into; it may also be classified according to its own habits, not knowing, where the content of each class is related to the user's own habits. Of course, the present invention is not limited to the specific values of the first predetermined number and the second predetermined number.
Step s 302: respectively obtaining the times of occurrence of each application in each preset coordinate classification corresponding to the coordinate axis according to the classification result, and taking the times as application coordinates applied in a preset coordinate system;
for each application, each user has a classification result, so that the classification result of each application is a first preset number, for example, 500 results, and the results are distributed on the preset coordinate classification corresponding to each coordinate axis, that is, the application coordinate of the application is formed.
Step s 303: and dividing the client terminal which downloads the application from the application push platform system into a high-frequency client terminal and a low-frequency client terminal according to the quantity of the downloaded application and a preset rule.
Step s 304: acquiring applications downloaded by each low-frequency client from an application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to original applications in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as first average coordinates;
for example, a low frequency client is loaded with 10 applications, wherein 6 applications belong to the original application and 4 applications do not belong to the original application, and the average of the application coordinates of the 6 applications is calculated as the application coordinates of the 4 applications in the low frequency client.
Step s 305: collecting application coordinates of applications downloaded from the application push platform system by each low-frequency client; when the collection times of one application which does not belong to the original application in the applications downloaded by the low-frequency client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
After step s304, all applications in each low frequency client have their own application coordinates, but the application coordinates of the applications not belonging to the original application are different in different clients, and in order to stabilize the application coordinates of the applications, it is necessary to collect the application coordinates of the applications in a plurality of low frequency clients, and when the collection number of an application not belonging to the original application reaches a third preset number, for example, 500 times, it indicates that 500 low frequency clients download the application, and the application coordinates of the application in the 500 clients are averaged, and the obtained second average coordinate tends to be stable and can be used as a fixed application coordinate of the application, so the application can be added to the original application at this time.
When all the applications in the application push platform system are added into the original application, the application coordinates of the applications tend to be stable, and the application coordinates can represent the attribute characteristics of the applications.
It can be further understood that the process of respectively obtaining the occurrence frequency of each application in each preset coordinate classification corresponding to the coordinate axis according to the classification result in step s302 specifically includes:
respectively matching the classification result of each user with the preset coordinate classification corresponding to each coordinate axis;
and respectively obtaining the times of occurrence of each application in the preset coordinate classification corresponding to the coordinate axis according to the matching result.
It can be understood that when the user who is a volunteer does not know which categories they need to be classified into, the applications are classified according to their own habits, so that the category contents of different user classifications may not be the same, but the user classifications can be approximately matched with the preset coordinate classifications according to the application contents in each category. For example, the user classification may include panning, american grouping, etc., and the user classification may be guessed as a shopping classification, but if there is no shopping classification but a life application classification in the preset coordinate classification, the classification of the user may be matched with the life application classification. The user does not know which category the user needs to be classified into, misleading the user can be avoided, and the classification result of the user is more in line with the habit of the user. In addition, when the user knows the contents of each preset coordinate classification in advance, the matching operation can be omitted.
In addition, the process of determining the application corresponding to the application coordinate within the preset range around the application coordinate of each application downloaded and installed by the designated client from the application push platform system in step s102 specifically includes:
and in a preset coordinate system, applications in a first preset range around the application coordinates of each application downloaded and installed from the application push platform system by the appointed client are respectively obtained.
It can be understood that the above operation is more suitable for the low frequency client, and because the number of the low frequency client applications is small, the application coordinate of each application downloaded by the low frequency client can be regarded as a point at this time, and the application name in the first preset range around the point is obtained and pushed.
In addition, the process of determining the application corresponding to the application coordinate within the preset range around the application coordinate of each application downloaded and installed by the designated client from the application push platform system in step s102 specifically includes:
determining a curved surface formed by application coordinates of each application installed in a specified client in a preset coordinate system;
an application lying on a curved surface is obtained.
It can be understood that the above operations are more suitable for the high-frequency client, and because the number of the applications of the high-frequency client is large, the application coordinates of the applications downloaded by the high-frequency client can already form a curved surface, and the attribute types of the applications on the curved surface all conform to the habit of the client, the applications that are not installed in the specified client on the curved surface can be pushed.
In the above embodiments, the predetermined coordinate system is a three-dimensional coordinate system. It can be understood that the three-dimensional coordinate system can embody more comprehensive application properties than the two-dimensional coordinate system and is much less computationally intensive than the four-dimensional coordinate system. Of course, the predetermined coordinate system may have other dimensions, and the present invention is not limited thereto.
Further, the three coordinate axes of the preset three-dimensional coordinate system correspond to a life category, a tool category and a game category respectively. Of course, the above is only a preferred solution, and each coordinate axis may correspond to other categories.
The invention provides an application pushing method, which comprises the steps of firstly obtaining application coordinates of each application downloaded and installed in each client in a preset coordinate system, and then selecting the application with the distance from the application coordinates in a preset range to push the application to the corresponding client. It can be understood that different users have different habits on the applications to be used, and the habits can be reflected on the application coordinates of the applications downloaded by the users, so that the applications with the application coordinates close to each other generally belong to the same type, and therefore, the applications similar to the applications downloaded by the client are pushed, the pushed applications can be guaranteed to be more in line with the use habits of the client as much as possible, and the possibility that the client downloads the applications is further improved. Therefore, the pushing mode of the invention is different from person to person, different applications can be pushed to different clients according to habits of different clients, and the user experience is good.
The invention further provides an application push platform system, which is shown in fig. 3, and fig. 3 is a schematic structural diagram of the application push platform system provided by the invention. The system comprises:
the system comprises a characteristic acquisition module 1, a characteristic acquisition module and a characteristic acquisition module, wherein the characteristic acquisition module is used for acquiring application coordinates of each application downloaded and installed from an application push platform system by a specified client 4 in a preset coordinate system; each coordinate axis in the preset coordinate system corresponds to one type of preset coordinate classification, and when the application coordinates are a preset number of users classifying corresponding applications, the applications corresponding to the application coordinates respectively appear in each preset coordinate classification;
the push module 2 is used for determining the applications corresponding to the application coordinates in the preset range around the application coordinates of each application downloaded and installed from the application push platform system by the appointed client 4 in the preset coordinate system, and selecting the undelivered applications in the appointed client 4 from the applications to push to the appointed client 4;
and a coordinate database 3 for storing application coordinates of each application.
It can be understood that the feature obtaining module 1 obtains the application name downloaded and installed on the client from the client, and then queries the corresponding application coordinate from the coordinate database 3 according to the application name.
Preferably, the feature acquisition module 1 further includes:
the original application unit is used for classifying a preset number of users to obtain an application of an application coordinate as an original application; storing the application coordinates of the original application into a coordinate database.
The first averaging unit is used for acquiring the applications downloaded by each client from the application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to the original applications in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as first average coordinates;
the second averaging unit is used for collecting application coordinates of the applications downloaded from the application push platform system by each client; when the collection times of one application which does not belong to the original application in the applications downloaded by the client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; and repeating the operation until all the applications in the application push platform system are added into the original application.
Preferably, the feature acquisition module 1 further includes:
the client classifying unit is used for classifying the clients which download the applications from the application pushing platform system into high-frequency clients and low-frequency clients according to the number of the downloaded applications and a preset rule;
correspondingly, the first averaging unit is specifically configured to obtain the application downloaded by each low-frequency client from the application push platform system, and calculate an average value of application coordinates of a plurality of applications belonging to the original application in the downloaded application to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as first average coordinates;
the second averaging unit is specifically used for collecting application coordinates of the applications downloaded by the low-frequency clients from the application push platform system; when the collection times of one application which does not belong to the original application in the applications downloaded by the low-frequency client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; and repeating the operation until all the applications in the application push platform system are added into the original application.
For each of the above embodiments, the predetermined coordinate system is a three-dimensional coordinate system. Of course, the predetermined coordinate system may have other dimensions, and the present invention is not limited thereto.
Further, the three coordinate axes of the preset three-dimensional coordinate system correspond to a life category, a tool category and a game category respectively. Of course, the above is only a preferred solution, and each coordinate axis may correspond to other categories.
The invention provides an application pushing platform system, which comprises the steps of firstly obtaining application coordinates of each application downloaded and installed in each client in a preset coordinate system, and then selecting the application with the distance from the application coordinates in a preset range to push the application to the corresponding client. It can be understood that different users have different habits on the applications to be used, and the habits can be reflected on the application coordinates of the applications downloaded by the users, so that the applications with the application coordinates close to each other generally belong to the same type, and therefore, the applications similar to the applications downloaded by the client are pushed, the pushed applications can be guaranteed to be more in line with the use habits of the client as much as possible, and the possibility that the client downloads the applications is further improved. Therefore, the pushing mode of the invention is different from person to person, different applications can be pushed to different clients according to habits of different clients, and the user experience is good.
It is to be noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An application push method, for an application push platform system, the method comprising:
acquiring application coordinates of each application downloaded and installed from the application push platform system by a designated client side in a preset coordinate system; each coordinate axis in the preset coordinate system corresponds to a type of preset coordinate classification, and the application coordinates are the times of occurrence of the corresponding application of the application coordinates in each preset coordinate classification when a preset number of users classify the corresponding application;
and in the preset coordinate system, determining the application corresponding to the application coordinate in the preset range around the application coordinate of each application downloaded and installed from the application push platform system by the appointed client, and selecting the application which is not downloaded in the appointed client from the application push platform system to push the application to the appointed client.
2. The method according to claim 1, wherein before the obtaining of the application coordinates of each installed application downloaded from the application push platform system by the specified client, the method further comprises:
classifying the users with the preset number to obtain an application with application coordinates as an original application;
acquiring applications downloaded by each client from the application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to the original application in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
collecting application coordinates of the applications downloaded from the application push platform system by each client; when the collection times of one application which does not belong to the original application in the applications downloaded by the client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
3. The method of claim 2, wherein the obtaining the application downloaded by each client from the application push platform system further comprises:
dividing the client terminal which downloads the application from the application pushing platform system into a high-frequency client terminal and a low-frequency client terminal according to the quantity of the downloaded application and a preset rule;
the construction process of the preset coordinate system specifically comprises the following steps:
acquiring the application downloaded from the application push platform system by each low-frequency client, and calculating the average value of application coordinates of a plurality of applications belonging to the original application in the downloaded application to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
collecting application coordinates of the applications downloaded from the application push platform system by each low-frequency client; when the collection times of one application which does not belong to the original application in the applications downloaded by the low-frequency client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
4. A method according to any one of claims 1-3, wherein the predetermined coordinate system is a three-dimensional coordinate system.
5. An application push platform system, comprising:
the system comprises a characteristic acquisition module, a characteristic acquisition module and a characteristic acquisition module, wherein the characteristic acquisition module is used for acquiring application coordinates of each application downloaded and installed from the application push platform system by a specified client, each coordinate axis in the preset coordinate system corresponds to a type of preset coordinate classification, and the application coordinates are the times of occurrence of the application corresponding to the application coordinates in each preset coordinate classification when a preset number of users classify the corresponding application;
the pushing module is used for determining the applications corresponding to the application coordinates in the preset range around the application coordinates of each application downloaded and installed from the application pushing platform system by the appointed client in the preset coordinate system, and selecting the undelivered applications in the appointed client from the applications to push the undelivered applications to the appointed client;
and the coordinate database is used for storing the application coordinates of each application.
6. The system of claim 5, wherein the feature acquisition module further comprises:
the original application unit is used for classifying the preset number of users to obtain the application of the application coordinates as original application; storing application coordinates of an original application into the coordinate database;
the first averaging unit is used for acquiring the applications downloaded by each client from the application push platform system, and calculating an average value of application coordinates of a plurality of applications belonging to the original applications in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
the second averaging unit is used for collecting application coordinates of the applications downloaded by the clients from the application push platform system; when the collection times of one application which does not belong to the original application in the applications downloaded by the client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application until all applications in the application push platform system are added into the original application.
7. The system of claim 6, wherein the feature acquisition module further comprises:
the client classifying unit is used for dividing the client which downloads the application from the application pushing platform system into a high-frequency client and a low-frequency client according to the quantity of the downloaded application and a preset rule;
correspondingly, the first averaging unit is specifically configured to obtain the applications downloaded by each low-frequency client from the application push platform system, and calculate an average value of application coordinates of a plurality of applications belonging to the original application in the downloaded applications to obtain a first average coordinate; setting application coordinates of a plurality of applications which do not belong to the original application in the downloaded applications as the first average coordinates;
the second averaging unit is specifically configured to collect application coordinates of applications downloaded by the low-frequency clients from the application push platform system; when the collection times of one application which does not belong to the original application in the applications downloaded by the low-frequency client reach a third preset time, calculating the average value of the collected application coordinates of the third preset time to obtain a second average coordinate as the application coordinate of the corresponding application, and adding the corresponding application into the original application; until all applications in the application push platform system are added into the original application.
8. The system according to any one of claims 5-7, wherein the predetermined coordinate system is a three-dimensional coordinate system.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101848416A (en) * | 2010-04-02 | 2010-09-29 | 宇龙计算机通信科技(深圳)有限公司 | Mobile terminal, application server, application push method and application push system |
| CN102722524A (en) * | 2012-05-07 | 2012-10-10 | 北京邮电大学 | Website recommendation result displaying method and device and terminal with the device |
| CN103020846A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN103020845A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN105573643A (en) * | 2015-05-29 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Application recommendation method, user terminal and application server |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140024335A1 (en) * | 2012-07-17 | 2014-01-23 | Chidopi Co., Ltd. | Methods for collecting usage information of portable devices, and utilizing methods and platforms thereof |
-
2016
- 2016-11-25 CN CN201611055728.XA patent/CN106790392B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101848416A (en) * | 2010-04-02 | 2010-09-29 | 宇龙计算机通信科技(深圳)有限公司 | Mobile terminal, application server, application push method and application push system |
| CN102722524A (en) * | 2012-05-07 | 2012-10-10 | 北京邮电大学 | Website recommendation result displaying method and device and terminal with the device |
| CN103020846A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN103020845A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN105573643A (en) * | 2015-05-29 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Application recommendation method, user terminal and application server |
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