CN108694211B

CN108694211B - Application distribution method and device

Info

Publication number: CN108694211B
Application number: CN201710234047.8A
Authority: CN
Inventors: 龙柏炜; 蔡建涛; 钱超
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2017-04-11
Filing date: 2017-04-11
Publication date: 2023-05-12
Anticipated expiration: 2037-04-11
Also published as: CN108694211A

Abstract

The embodiment of the invention discloses an application distribution method and device, wherein the method comprises the following steps: acquiring current application scene information of a terminal, wherein the application scene information is used for reflecting the current application requirements of a user of the terminal; determining a target application which meets the preset information matching relation with the application scene information; determining display parameters of a target application on an application distribution interface, wherein the display parameters at least comprise display position parameters; and outputting the application information of the target application at the application distribution interface according to the display parameters.

Description

Application distribution method and device

Technical Field

The present invention relates to the field of information technologies, and in particular, to an application distribution method and apparatus.

Background

With the development of electronic technology, there is an increasing development of applications that can be applied in electronic devices. If the object needs to use a certain service or a service provided by a certain specific merchant, the object may need to go to the application store page to download the corresponding application installation package, and then install the application installation package. There is typically a lot of application information displayed in a distribution interface for distributing applications, which application information can be used for connecting terminals to corresponding application installation packages. However, the application ranking in the application store is not arranged according to the type of the application, but is not arranged according to the download amount of each application installation package. If the object is to download the corresponding application installation packages, the corresponding application information is to be searched one by turning pages, or the application installation packages to be searched are to be input into the search box manually. With the first approach, it is apparent that the object needs to find its own desired application installation package, which is cumbersome and inefficient. By adopting a manual searching mode, the proper searching keywords are obviously difficult to think of by the object in some cases, so that the phenomena of complex operation, high operation difficulty, low efficiency and the like also exist.

Disclosure of Invention

In view of the foregoing, it is desirable to provide an application distribution method and apparatus, which at least partially solve the above-mentioned problems.

In order to achieve the above purpose, the technical scheme of the invention is realized as follows:

a first aspect of an embodiment of the present invention provides an application distribution method, including:

acquiring current application scene information of a terminal, wherein the application scene information is used for reflecting the current application requirement of an object of the terminal;

determining a target application which meets the preset information matching relation with the application scene information;

determining display parameters of a target application on an application distribution interface, wherein the display parameters at least comprise display position parameters;

and outputting the application information of the target application at the application distribution interface according to the display parameters.

Based on the above scheme, the obtaining the current application scenario information of the terminal includes:

determining primary scene information according to at least one of current position information of the terminal, schedule information stored by the terminal, current use state information of the terminal and object operation data, wherein the primary scene information comprises: and carrying out application division on the scene information according to preset division dimensions, wherein the primary scene information is used for indicating the primary dimension currently required by the terminal.

Based on the above scheme, the obtaining the current application scenario information of the terminal further includes:

determining secondary scene information according to at least one of current position information of the terminal, schedule information stored by the terminal, current use state information of the terminal and object operation data; wherein the secondary scene information includes: description information of a secondary dimension of a primary dimension corresponding to the primary scene information described by the secondary scene information; the secondary scene information is used for indicating a secondary dimension corresponding to the application currently required by the terminal.

determining three-level scene information according to at least one of current position information of the terminal, schedule information stored by the terminal, current use state information of the terminal and object operation data, wherein the three-level scene information comprises: descriptive information describing a tertiary dimension in the secondary dimension.

Based on the above scheme, the three-level scene information includes: primary demand information describing a primary demand and auxiliary demand information describing auxiliary demands related to the primary demand.

Based on the above scheme, the method further comprises:

acquiring predetermined information, wherein the predetermined information comprises: at least one of historical operation data, current operation data and object attributes of the object operation terminal;

the determining the target application meeting the preset information matching relation with the application scene information comprises the following steps:

and determining target applications which meet the preset information matching relation with the application scene information and the preset information.

Based on the above scheme, the method further comprises:

after determining that the candidate application meeting the preset information matching relation with the application scene information and the preset information is met, acquiring at least one of conversion rate CVR and/or recommendation parameters of the candidate application;

and selecting a target application from the alternative applications according to the CVR and the recommended parameters.

acquiring object operation data of the terminal to which the object is applied;

generating a behavior quintuple from the object operation data, wherein the quintuple comprises: browsing behavior information, clicking behavior information, searching behavior information, downloading behavior information, and usage switching behavior information.

Based on the above scheme, the determining the target application meeting the preset information matching relationship with the application scene information includes:

inputting the application scene information into an input layer of a neural network obtained by training sample data;

and the hidden layer of the neural network processes the scene information input from the input layer and outputs the identification information of the target application from the output layer of the neural network.

A second aspect of an embodiment of the present invention provides an application distribution apparatus, including:

the terminal comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring current application scene information of a terminal, and the application scene information is used for reflecting the current application requirement of an object of the terminal;

the first determining unit is used for determining a target application which meets the preset information matching relation with the application scene information;

the second determining unit is used for determining display parameters of the target application on the application distribution interface, wherein the display parameters at least comprise display position parameters;

and the output unit is used for outputting the application information of the target application at the application distribution interface according to the display parameters.

Based on the above scheme, the obtaining unit is specifically configured to determine primary scene information according to at least one of current location information of the terminal, schedule information stored by the terminal, current usage state information of the terminal, and object operation data, where the primary scene information includes: and carrying out application division on the scene information according to preset division dimensions, wherein the primary scene information is used for indicating the primary dimension currently required by the terminal.

Based on the above scheme, the acquiring unit is specifically configured to determine secondary scene information according to at least one of current location information of the terminal, schedule information stored by the terminal, current usage state information of the terminal, and object operation data; wherein the secondary scene information includes: description information of a secondary dimension of a primary dimension corresponding to the primary scene information described by the secondary scene information; the secondary scene information is used for indicating a secondary dimension corresponding to the application currently required by the terminal.

Based on the above scheme, the obtaining unit is specifically configured to determine three-level scene information according to at least one of current location information of the terminal, schedule information stored by the terminal, current usage state information of the terminal, and object operation data, where the three-level scene information includes: descriptive information describing a tertiary dimension in the secondary dimension.

Based on the above scheme, the obtaining unit is further configured to obtain predetermined information, where the predetermined information includes: at least one of historical operation data, current operation data and object attributes of the object operation terminal;

The first determining unit is specifically configured to determine a target application that satisfies a preset information matching relationship with the application scenario information and the predetermined information.

Based on the above scheme, the first determining unit is further specifically configured to obtain at least one of a conversion rate CVR and/or a recommendation parameter of an alternative application after determining the alternative application that satisfies a preset information matching relationship with both the application scenario information and the predetermined information; and selecting a target application from the alternative applications according to the CVR and the recommended parameters.

Based on the above scheme, the obtaining unit is further configured to obtain object operation data of the terminal to which the object applies; generating a behavior quintuple from the object operation data, wherein the quintuple comprises: browsing behavior information, clicking behavior information, searching behavior information, downloading behavior information, and usage switching behavior information.

Based on the above scheme, the first determining unit is specifically configured to input the application scenario information into an input layer of a neural network obtained by training sample data; and the hidden layer of the neural network processes the scene information input from the input layer and outputs the identification information of the target application from the output layer of the neural network.

The application distribution method and the device provided by the embodiment of the invention can acquire the current application scene information of the terminal, determine the target application according to the application scene information, and further determine the display parameters of the target application; the display parameters at least comprise display position parameters, and the target application generally enables the target application to be displayed at a conspicuous position of an application distribution interface through setting of the display position parameters, so that operations of searching or searching the current required application by an object are reduced, operations of searching the application required by the object are simplified, application distribution efficiency is improved, and intelligence of application distribution and object use satisfaction are improved.

Drawings

Fig. 1 is a flow chart of a first application distribution method according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a distribution system according to an embodiment of the present invention;

fig. 3 is a schematic view of a display effect of an application distribution interface according to an embodiment of the present invention;

fig. 4 is a flow chart of a second method for distributing applications according to an embodiment of the present invention;

fig. 5 is a flowchart of a third method for distributing an application according to an embodiment of the present invention;

fig. 6 is a flowchart of a training method of a neural network according to an embodiment of the present invention;

Fig. 7 is a schematic structural diagram of an application distribution device according to an embodiment of the present invention;

fig. 8 is a flowchart of a fourth method for distributing an application according to an embodiment of the present invention;

fig. 9 is a schematic structural diagram of another application distribution device according to an embodiment of the present invention.

Detailed Description

The technical scheme of the invention is further elaborated below by referring to the drawings in the specification and the specific embodiments.

It should be noted that, in the following embodiments, the object is a user of the terminal.

As shown in fig. 1, the present embodiment provides an application distribution method, including

Step S110: acquiring current application scene information of a terminal, wherein the application scene information is used for reflecting the current application requirement of an object of the terminal;

step S120: determining a target application which meets the preset information matching relation with the application scene information;

step S130: determining display parameters of a target application on an application distribution interface, wherein the display parameters at least comprise display position parameters;

step S140: and outputting the application information of the target application at the application distribution interface according to the display parameters.

The application distribution method in this embodiment may be an information processing method applied to an application distribution platform or a terminal. Fig. 2 is a schematic diagram of a connection structure between an application distribution platform and a terminal. The distribution platform may be one or more application distribution servers applied to the network side. The terminal can be electronic equipment such as a mobile phone, a tablet personal computer or a wearable device of an object, and the like, and the terminal can be connected to the distribution platform through the Internet.

Through the processing from the step S110 to the step S140, when it is determined that the target application of the specific terminal occurs, the application distribution platform may output the application information of the target application to the terminal through the step S140, so that the terminal may display the application information of the target application at a characteristic position in the application distribution interface of the distribution application installed in the terminal. The application distribution interface here is an application interface of the distribution application. Fig. 3 shows an application distribution interface for distributing applications, in which various application icons of applications to be distributed are displayed, and when an object clicks the application icon, a terminal downloads an application installation package of the application.

Specifically, as shown in fig. 4, the application method applied to the application platform includes:

step S1: the application platform receives application scene information reported by a terminal;

step S2: the application platform determines target applications which need to be recommended to the terminal in a key way according to the application scene information;

step S3: determining display parameters displayed on an application distribution interface of the terminal by the target application according to a preset recommendation strategy, wherein the display parameters at least comprise display position parameters;

step S4: and outputting the application information of the target application and the display parameters to a terminal, so as to control the terminal to display the application information of the target application on the application distribution interface according to the display parameters.

Of course, the application distribution method in this embodiment may also be a method applied to the terminal. In this way, the application information of various applications to be distributed by the distribution platform is issued to the terminal. The terminal determines that the application information of the target application is output at the application distribution interface of the distribution application installed by the terminal through the information processing from the step S110 to the step S140. Specifically, as shown in fig. 5, the application distribution method applied in the terminal may include:

step S11: acquiring the application scene information;

step S12: selecting a target application which meets the preset information matching relation with the application scene information from various applications pushed by an application platform according to the application scene information;

step S13: determining display parameters of the target application according to a preset recommendation strategy, wherein the display parameters at least comprise the display position parameters;

step S14: and displaying the target application on an application distribution interface according to the display parameters.

The current application scenario information of the terminal in this embodiment may include: the terminal comprises current position information, current position application information, current time, running state of the object terminal and current detected object operation.

In this embodiment, the terminal may be a mobile terminal, which is a device that can be carried by the subject, and thus, the location of the terminal is the location of the subject. If the terminal is a fixed terminal, if the object is using the terminal, the position of the terminal, that is, the position of the object is located.

The usage information of the current location may indicate the usage of the current location, for example, various usage information of a conference room, a classroom, a mall, or a restaurant.

The current time may be various information such as a current time point, a season, or a month.

The operation state of the object terminal may include: whether the terminal is in a starting state, an application in the terminal which is in the starting state at present, a foreground application in the terminal, a background application and other various information.

The object operation may be various operations executed by the control terminal input by the object, various application operations performed in an application interface of one application by using the object to instruct to open or close one application, and the like.

The above information may directly or indirectly reflect the application requirements of the application used by the object.

For example, the terminal, if currently located in the home of the subject, may have application requirements for using leisure, entertainment and shopping. For example, the terminal, if in a conference room, may require application of conference recordings by the object.

As another example, the object may need a shopping application or a shopping payment class application when shopping at a mall.

In this embodiment, after the application scenario information is determined in step S120, a target application adapted to the application scenario requirement is determined.

Each application has its specific purpose or provides specific services; if the application provides a purpose or service that can meet the current application requirement, the application can serve as the target application. It is apparent that the target application here may be an application of the application requirements.

When the application and/or the provided service of an application can meet the application requirement, the application and the application scene information can be considered to meet the preset information matching relation.

In some embodiments, if the object may need to use the mother-infant shopping application, the object may also be a potential object of the cosmetic shopping application, where if the application uses and/or the provided service of one application has an association relationship with the application requirement determined according to the application scenario information, the object may also be considered as one of target applications that meets the preset information matching relationship.

In this embodiment, the matching relationship with the application scenario information satisfies a preset information matching relationship, including two types:

First kind:

and the application meets the positive matching relation with the application scene information, namely the application can just provide the service or the purpose meeting the application requirement.

Second kind:

the application can partially meet the application requirement or can provide service and/or purpose associated with the application requirement.

In short, the manner of satisfying the preset information matching relationship with the application scenario information in the present embodiment is not limited to any one of the above-mentioned methods.

If the target application is determined in step S130, the display parameters of the target application in the application distribution interface are determined. In this embodiment, the display parameters include at least a display position parameter.

Typically, a plurality of display bits are provided in an application distribution interface, with some display bits being forward and some display bits being backward, some display bits being very noticeable to the subject and some display bits not being noticeable. The display position parameter may be an identification parameter of the display bit in this embodiment.

In some implementations the display parameters may also include: other display parameters, such as display color, display area parameters, etc. In summary, the display parameter is a highlighting parameter in this implementation. The highlighting parameters here are: such that the target application is more focused on display parameters than other applications displayed around or near it. For example, the display area of the target application may be larger than the display area of the non-target application, the display background color of the target application may be more prominent than the display background color of the non-target application, and so on. In summary, the preset recommendation policy in this embodiment may be a display parameter determination policy for highlighting a target application to attract the attention of the subject to the application information required for the subject to quickly target the subject.

In step S140, the application information of the target application is displayed on the application distribution interface of the distributed application directly according to the determined display parameter.

The application information of the target application may include: the method comprises the steps that a target application obtains a link, an application icon of the target application is bound with a link address of an application installation package of the target application, and when an operation acting on the application icon is detected, the electronic device can automatically obtain the application installation package of the target application.

In some embodiments, the application information may further include information related to the application, where the related information may include: description information describing the purpose of the target application, the industry to which the target application belongs, or description information of a service that can be provided, or recommendation information recommending the target application. Thus, when the object sees the application information, the object can determine whether the target application is the target application which is required by the object.

In summary, when the application distribution flow before the output of the application information of the application installation package is obtained is performed in this embodiment, instead of performing random application information display or distribution based on the downloading amount in the application distribution interface, the application scenario information is obtained, and the target application capable of meeting the current requirement of the object is screened out according to the application scenario information to be preferentially distributed, so that the operation of searching or searching the object one by one in the massive application information on the interface of the distribution application is reduced, the operation of obtaining the application installation package by the object is simplified, and the intelligence of the electronic device and the speed of searching the application information of the application installation package required by the object are improved.

In some embodiments, the step S110 may include:

In this embodiment, the current location information of the terminal is obtained, for example, by a global positioning system (Global Position System, GPS), a base station assisted positioning or positioning information of various positioning modes.

The schedule information stored by the terminal can be manually input schedule of the object collected by the terminal, and the schedule information is automatically generated by the operation terminal based on the object reservation air ticket and the like. For example, the object may arrange its own work and input into the terminal, and the application that the object essentially needs is different when handling different calendar things.

For example, the object has contracted a plan for an outgoing game through the travel application, then before or during the outgoing of the object, the object may be interested in the food and culture of the outgoing place, and then the object has application requirements of the food application and/or the culture recommendation class application; the scene information can be extracted according to schedule information.

And the current use state of the terminal. For example, if the terminal is used for the first time, the terminal may download many common applications in batch. If the current terminal is running a game application in the foreground, the object using the terminal may be a game fan, the object may be interested in other games, and the game application is the application requirement of the current object. Obviously, the current use state of the terminal can also characterize the current application requirements of the object.

The object operation data may include: historical operational data and/or current application operational data. The object operation behavior may be data generated by various operations input from the man-machine interaction interface, such as click operation data, download operation data, reading operation data, etc. In some embodiments, the historical operational data and the current behavioral operational data may collectively characterize the long-term favorites and/or preferences of the subject; the current application operation data may characterize the current preferences and/or preferences of the object, so the object operation data may reflect the application requirements of the object.

In this embodiment, the primary scene information is first determined according to at least one of the current location information, schedule information, usage status information of the terminal, and object operation data. In this embodiment, the step S110 may obtain at least one of the current location information, the schedule information, the usage status information of the terminal, and the object operation data according to a preset time interval, and then determine the primary scene information comprehensively according to the corresponding relationship between the information and the application scene information and/or the influence weight of the information on the application scene information by combining multiple items of the current location information, the schedule information, the usage status information of the terminal, and the object operation data.

The division dimension of the scene information in this embodiment includes multiple dimensions, for example, an industry dimension or a function dimension.

The industry dimension can be divided into: shopping, social, travel, entertainment, and the like.

The functional dimension can be divided into: multimedia information output, multimedia information input, communication, and the like.

In this way, it is possible to determine which dimension currently required by the object is applied based on the current location information. For example, if it is determined that the object has a travel plan according to schedule information, the object may need a travel class application.

In this embodiment, the scene information includes primary scene information, and in step S120, the dimension of the target application may be determined according to the primary scene information. If so, in step S130 and step S140, the application information of the application with the corresponding dimension may be displayed in the front row of the application distribution interface, so as to facilitate the viewing of the object. For example, for an object with a travel plan, the travel application can be displayed on the front row of the application distribution interface, so that the object can conveniently view and acquire the application installation package.

In this embodiment, the first-level application scenario information may be at least used to determine a class of the target application.

In step S130, it may be determined which kind of application is set as the target application at a prominent position of the application distribution interface. The salient position can be a display position which is determined according to statistical data or simulation or actual application and is easier to attract the attention of the object.

Optionally, the step S110 further includes:

If the primary scene information is divided according to industries, the secondary scene information located under the primary scene information in this embodiment may be a sub-industry describing a certain industry. For example, shopping class applications are divided by sub-industry, and may include: mother and infant shopping, cosmetic shopping, clothing shopping, electrical appliance shopping, comprehensive shopping, etc. And if the primary scene information describes the industry information of the industry to which the target application belongs, the secondary scene information describes the sub-industry information of the sub-industry to which the target application belongs. In this embodiment, if the primary dimension is an industry, the secondary scene information is description information describing a sub-industry under the industry where the target application is located, and may be used to indicate a sub-industry corresponding to an application currently required by the terminal.

If the primary scene information is divided according to the purpose, the secondary scene information located under the primary scene information in this embodiment may be related information describing a subdivision purpose under a certain purpose or function. If the communication class corresponding to the first-level scene information is currently determined, the communication class can be subdivided into instant messaging and non-instant messaging. According to various data such as the current object operation data, whether the object is the instant messaging application or the non-instant messaging application which is needed currently can be further determined. If so, when determining the target application, determining the major class of the target application according to the first-level scene information, and then determining the minor class of the target application according to the second-level application scene information.

As a further improvement of the present embodiment, the step S110 further includes:

The tertiary dimension in this embodiment is a tertiary dimension that further refines the aforementioned secondary dimension. For example, the primary dimension is industry, the secondary dimension is sub-industry, and the tertiary dimension herein may be category information corresponding to the sub-industry. The category information may be provider and/or brand information providing applications required by the sub-industry, etc.

For example, based on the first-level scene information, determining that the current object requirement of the object is a shopping application, and determining that the object is a shopping application requiring mother and infant according to the second-level scene information; further, according to historical shopping operation data and/or consumption level information and/or preference of the object, whether the object needs an overseas online shopping application or an in-home shopping application of the mother and infant type can be further positioned.

If the primary scene information can be used for determining the primary purpose of the target application, the secondary scene information can be used for determining the secondary purpose of the target application, and the tertiary application scene information can be used for determining the tertiary purpose currently required by the object. For example, instant messaging applications may be further classified into QQ, weChat, facebook, strange applications, etc. In this embodiment, the specific application class required by the target object may be further determined according to the three-level scene information.

In summary, in this embodiment, the scene information is divided into primary scene information, secondary scene information and tertiary scene information, so that the target application currently required by the object can be accurately located.

The method may make the determination of the target application in combination with one or more of the above-described co-tertiary scene information. In some embodiments, the method may further comprise: if the target application is determined according to the application scene information, acquiring the installation information of the application installed in the terminal;

according to the installation information, application information of the terminal installed application in a plurality of target applications is filtered;

in step S140, application information of the target application not installed in the terminal is displayed on the application distribution interface, so that unnecessary distribution or recommendation of the application information is reduced.

In some embodiments, the three-level scene information includes: primary demand information describing a primary demand and auxiliary demand information describing auxiliary demands related to the primary demand.

For example, the three-level scene information includes: main product class information describing a main demand and auxiliary product class information describing an auxiliary demand related to the main demand.

When the object is in the finishing of the competitive game, the main item class information may be: descriptive information indicating that the object currently needs to fight the a-game application of the class game application. The auxiliary class information may then be information of application B that is prominent by the same development team as the a game application or that belongs to the same brand.

For example, if the current game a is a game application that the wander glows, the application B may be a news reading application or a game attack application that the wander glows.

Correspondingly, in the step S140, the application information meeting the main requirement may be highlighted at a first preset position of the application distribution interface, and then the application information meeting the auxiliary requirement may be highlighted at a second preset position of the application distribution interface. The second preset position may be a position adjacent to the first preset position.

For example, application information of the game a application is displayed in the first row, and application information of the application B is displayed in the second row.

In some embodiments, the method further comprises:

The step S120 may include:

The historical operation data in this embodiment may include various operation data of the object use terminal and other operation data. The various operation data of the user terminal may include: clicking behavior, downloading behavior, frequency of use information of various applications, etc. performed on the terminal. The other operational data may include: the object has recently obtained data from other means such as finding schools for child's learning, rather than the object directly using the terminal.

The object attribute can be various information describing personal characteristics of the object; the subject personal characteristics here include: static features with a rate of change less than a preset level and dynamic features with a rate of change not less than a preset level. The static features may include: sex, age group, education level, usual place and/or occupation information of the subject. The dynamic characteristics may include: object interest, consumption level of the object, mood of the object, and the like.

In this embodiment, the target application is determined according to the application scenario information, and the target object is comprehensively selected according to information such as historical operation data, current operation data, object attributes and the like.

When the target application is determined, the following formula can be adopted to carry out comprehensive scoring, and then the target application is selected through the sequencing of the comprehensive scoring and the comparison of the scoring threshold values:

wherein said y _i A composite score for the i-th alternative application; the x is _j Scoring a single item of a jth reference factor; the w is _j Weights for the j-th reference factor; and J is the total number of reference factors. The i, J and J are positive integers, and the J is a positive integer not greater than the J.

The reference factors in this embodiment include at least: and the application scene information of the terminal. In some embodiments may further comprise: object properties, historical operational data, and/or current operational data, etc.

For each application, the composite score may be calculated, and a plurality of candidate applications with composite scores or candidate applications with composite scores greater than a preset threshold may be selected as the target application.

Of course, the above is merely given as a specific example of selecting the target application, and the specific implementation is not limited to the above functional relationship.

In some embodiments, the method further comprises:

after determining that the candidate application meeting the preset information matching relation with the application scene information and the preset information is met, acquiring at least one of conversion rate CVR and recommended parameters of the candidate application;

In this embodiment, when the application distribution is performed, CVR and recommended parameters of the corresponding application for all objects or objects in the corresponding area are also comprehensively considered. For example, CVR etc. that a certain application is clicked to download in china will be comprehensively considered. The recommendation parameters may focus the distributed applications based on reference factors such as whether to pay for the application provider to request recommendations.

In this embodiment, according to the determination that the CVR participates in the target application, in this way, other applications with higher scores may be recommended to the object, or other target applications with high usage frequency may be recommended to the object, so as to ensure a better usage experience after the object downloads the corresponding application.

The embodiment further includes: and the recommendation parameter can be a parameter which is reserved and used for enabling the application which is mainly recommended to be used as the target application to be displayed on the application distribution interface when various applications which want to mainly recommend certain applications have a larger probability.

In this embodiment, the step S110 may include:

acquiring object operation data of the terminal to which the object is applied;

The object operation data is converted into a five-tuple in the present embodiment. The five-tuple here includes 5 elements; here, each element describes information of an object behavior. In this embodiment, the operation behavior information described by each element in the five-tuple may be behavior information of executing the behavior of the corresponding object in a predetermined period of time before the current time. The behavior information here may include: time information of executing corresponding actions, execution times, targeted applications, execution places and the like.

In this embodiment, each element in the five-tuple may correspond to an array or an array, where the array and/or each element in the array has its corresponding meaning.

For another example, the object behavior information for each element in the five-tuple can be an object behavior sequence. The object behavior sequence of the array is a time sequence, a place sequence, etc. for executing the object behavior. For example, the downloading behavior information may include: and information such as a downloading time sequence, a downloading place sequence (a sequence of the position of the terminal at the downloading time, a downloading application identification sequence (indicating the downloading application), and the like.

In this embodiment, the five-tuple is used to accurately describe the object operation data, so that the application platform and/or the terminal are facilitated, and the object operation data is simply and conveniently processed, thereby quickly and accurately positioning the target application capable of meeting the current application requirement.

In this embodiment, one or more of the application scenario information, the object characteristics of the object person, the historical operation data, the current operation data, the CVR, and the recommended parameters may be input into a classifier determined in advance, and the target application may be output through classification by the classifier. The classifier herein may include: the method can be used for various classifiers such as a vector machine for classification.

In this embodiment, the step S130 may include:

In this embodiment, the neural network is used to perform the screening of the target application and the outputting of the identification information of the target application. The neural network in this embodiment may be a classifier trained in advance using sample data.

The method of the present embodiment further comprises:

training of the neural network is performed using sample data prior to determining the target application.

Training of the neural network here may include:

Constructing sample data, wherein the sample data comprises: various behavior sequences for applications for which behaviors are aimed and identification information of the applications;

training a neural network by using the sample data; in performing the training of the neural network, the training may be performed using a back propagation method (Back Propagation Algorithm, BPA) method. When the BPA method is adopted for training, errors of the output result obtained by training and the real result in the sample data are returned to the neural network, the neural network adjusts various parameters such as nodes, weights of the nodes, symbols and the like of a hidden layer of the neural network according to the errors, so that the difference between the output result obtained after the adjusted neural network inputs the behavior sequence of the sample data and the real result of the sample result is smaller or no difference exists, and the neural network obtained by training has the characteristic of high target application positioning accuracy.

As shown in fig. 6, the object operation data is converted into five-tuple, the sequence formed by application scene information generated by the five-tuple of the object behavior is used as sample data of the neural network, the sample data is input into an untrained neural network or an untrained neural network, and the neural network is trained to obtain the neural network which can be applied subsequently through one or more times of training.

As a further improvement of the present embodiment, the method further includes:

and (3) carrying out information cleaning on the application scene information to ensure that the data input to the input layer height of the neural network is real and effective data, thereby ensuring the accuracy of target application positioning. For example, the current position information of the object terminal is still in china for the previous minute, and the current position information of the current terminal is displayed in the united states, and it is obvious that positioning abnormality may occur at this time; such anomalous data may be removed by data cleansing to accurately locate the target application.

When the neural network is trained, sample data also need to be subjected to data cleaning, so that the rationality of the neural network is ensured, and the determination accuracy of target application is further ensured.

In this embodiment, in order to facilitate accurate and simple distribution of the target application, the step S140 may include:

displaying a popup window on the application distribution interface; the popup window is a small window which is displayed on the application distribution interface and has a display area smaller than that of the application distribution interface; and displaying the application information of the target application in the small window.

To simplify the distribution of the target application, it may further comprise:

When the terminal does not start the distribution application or the distribution application is started in the background, the distribution platform sends a push message comprising application information of the target application to the terminal; or the terminal automatically generates recommendation information for recommending the target application. The push message or the recommendation information may be a system message corresponding to the operating system, or an application message of the distribution application.

In some embodiments, the popup window and/or push message or recommendation information is adopted, and the target application with the important recommendation may be a target application meeting the main requirement or a target application meeting the auxiliary requirement.

As shown in fig. 7, the present embodiment provides an application distribution apparatus including:

an obtaining unit 110, configured to obtain current application scenario information of a terminal, where the application scenario information is used to reflect a current application requirement of an object of the terminal;

a first determining unit 120, configured to determine a target application that meets a preset information matching relationship with the application scenario information;

a second determining unit 130, configured to determine a display parameter of the target application on the application distribution interface, where the display parameter at least includes a display position parameter;

And the output unit 140 is configured to output, at the application distribution interface, application information of the target application according to the display parameter.

When the application distribution apparatus in this embodiment is applied to a distribution platform, the obtaining unit 110 may correspond to a communication interface, may receive the application scenario information or information related to the application scenario information from the terminal, and then determine the application scenario information by using a processor or a processing circuit. The first determining unit 120 and the second determining unit 130 in this embodiment may correspond to a processor or a processing circuit in an application platform. The processor may be a central processor, digital signal processor, microprocessor, application processor, or programmable array, among others. The processing circuit may be an application specific integrated circuit. The processor or processing circuit may implement the determination of the target application and the determination of the display parameter described above through execution of executable code. When the apparatus is applied to the distribution platform assembly, the output unit 140 may correspond to a communication interface, where outputting the application information may be outputting the application information and the display parameters to the terminal, so as to control the terminal to display the application information according to the display parameters.

If the application distribution apparatus is applied to a terminal, the acquisition unit 110, the first determination unit 120, and the second determination unit 130 may correspond to a processor or a processing circuit of the terminal. The detailed description of the processor or processing circuitry herein may be found in the foregoing sections and will not be repeated here. The output unit 140 may correspond to a display screen, where the display screen may be a liquid crystal display screen, an electronic ink display screen, or a projection display screen, and the like, and may be a display structure for outputting the application information.

The application scenario information, the target application, and the related description of the application information in this embodiment may be referred to the related description of the foregoing method embodiment, which is not described here.

Optionally, the obtaining unit 110 is specifically configured to determine primary scene information according to at least one of current location information of the terminal, schedule information stored in the terminal, current usage status information of the terminal, and object operation data, where the primary scene information includes: and carrying out application division on the scene information according to preset division dimensions, wherein the primary scene information is used for indicating the primary dimension currently required by the terminal.

Further, the acquiring unit may be further configured to determine secondary scene information according to at least one of current location information of the terminal, schedule information stored in the terminal, current usage status information of the terminal, and object operation data; wherein the secondary scene information includes: description information of a secondary dimension of a primary dimension corresponding to the primary scene information described by the secondary scene information; the secondary scene information is used for indicating a secondary dimension corresponding to the application currently required by the terminal.

In addition, the obtaining unit 110 is specifically configured to determine tertiary scene information according to at least one of current location information of the terminal, schedule information stored in the terminal, current usage status information of the terminal, and object operation data, where the tertiary scene information includes: descriptive information describing a tertiary dimension in the secondary dimension.

In this embodiment, the application scene information may be divided into multiple layers, and may specifically include primary scene information, secondary scene information and tertiary scene information, and by locating the scene information layer by layer, the target application may be conveniently, simply, conveniently and accurately determined.

In some embodiments, the three levels of scene information include: primary demand information describing a primary demand and auxiliary demand information describing auxiliary demands related to the primary demand.

In this embodiment, the primary requirement information is information reflecting the most primary requirement of the current object, and the auxiliary requirement information may be requirement information reflecting the potential requirement of the current object. In this embodiment, if the determination of the target application is performed according to such three-level scene information, not only the target application that meets the main requirement of the object can be located, but also the target application that meets the auxiliary requirement of the object can be determined, so as to improve the intelligence of the device and the satisfaction of the object use.

Optionally, the obtaining unit 110 is further configured to obtain predetermined information, where the predetermined information includes: at least one of historical operation data, current operation data and object attributes of the object operation terminal; correspondingly, the first determining unit 120 is specifically configured to determine a target application that satisfies a preset information matching relationship with both the application scenario information and the predetermined information.

In this embodiment, the acquiring unit 110 is further multiplexed to perform historical operation data, current operation data, where the historical operation data and the current operation data are not limited to operation data of the terminal, but may be offline data of a non-operation terminal or operation data of other electronic devices. In this way, the first determining unit 120 locates the target application with more reference factors, so that the target application can be given more accurately, and thus the application information of the corresponding target application is displayed at the most visible position (the position that attracts the attention of the object most easily) of the application distribution interface as much as possible, the operations of the object to view and search the application to be applied are reduced, the acquiring efficiency of the application installation package is improved, the application distribution efficiency is improved, and the intelligence and the object use satisfaction of the device are improved.

In still other embodiments, the first determining unit 120 is further specifically configured to obtain at least one of a conversion rate CVR and/or a recommendation parameter of an alternative application after determining the alternative application that satisfies a preset information matching relationship with both the application scenario information and the predetermined information; and selecting a target application from the alternative applications according to the CVR and the recommended parameters.

In this embodiment, not only the object personal information, where the personal information is related to application scenario information, operation data, and/or object attribute related to the object personal behavior and attribute, but also non-personal information such as CVR and recommendation parameters of each application are combined to perform selection of the target application, so that the other layer displays the target application at a conspicuous position of the application distribution interface.

In addition, the obtaining unit 110 is further configured to obtain object operation data of the terminal applied by the object; generating a behavior quintuple from the object operation data, wherein the quintuple comprises: browsing behavior information, clicking behavior information, searching behavior information, downloading behavior information, and usage switching behavior information.

In this embodiment, the object operation data is converted into five-tuple which can be processed by the classifier, and the five-tuple basically includes several kinds of operation behaviors of the object operation terminal, and has the characteristics of detailed and comprehensive information and convenience for the classifier to process.

In still other embodiments, the first determining unit 120 is specifically configured to input the application scenario information into an input layer of a neural network obtained by training sample data; and the hidden layer of the neural network processes the scene information input from the input layer and outputs the identification information of the target application from the output layer of the neural network.

In this embodiment, the application scenario information is output to the neural network by using the neural network, and the identification information of the target application is output by using the neural network, so that the target application is simply and accurately obtained.

Two specific examples are provided below in connection with any of the embodiments described above:

example one:

the present example provides a distribution application including an application distribution interface; a plurality of display bits are provided on the application distribution interface, different display bits differing in the ability to attract the attention of the subject. In general, the more forward the application distribution interface is, the more attractive the attention of the subject is, and the more attractive the display bits in a row are to the subject at intermediate positions.

In this example, the foregoing method may be used to determine the target application and the display position of the target application, and in order to further attract the attention of the object, a highlighted icon may be further added to the display position of the target, where the highlighted icon may include a red dot that attracts the attention of the object, or a dynamic map that switches, so that the target application is distinguished from other non-target applications.

This divides the application scenario into in this example: primary, secondary, and tertiary scenes. The information describing the primary scene is the primary scene information, the secondary scene information describing the secondary scene is the secondary scene information, and the tertiary scene information describing the tertiary scene is the tertiary scene information; the following primary, secondary and tertiary scenes are described below, respectively.

The primary scene is divided into an object clear demand scene and an object fuzzy demand scene. Explicit needs, there are demanding purposes that define an industry, such as: preparing to travel, preparing Application (App) necessary for travel; prepare a wedding, prepare a related App. Fuzzy requirements, no explicit purpose of industry: the mobile phone is newly installed, and some necessary applications are installed; boring, want to see if some interesting applications are at a glance; look at the activities and offers of distributing applications, etc.

The secondary scene is subdivided under the primary scene. For an explicit demand class scenario, sub-division into sub-industries is performed. For the fuzzy demand scene of the object, the fuzzy demand scene is subdivided into specific scenes with clear intention concepts, such as newly installing a mobile phone, boring a shopping and distributing application, watching activities and the like.

Three-stage scene: under each secondary scenario, it can be divided into: browsing/querying, downloading, leaving the distributing application action, leaving the distributing application, and the like.

The technical points of division are as follows: the session behavior of the object in distributing the application includes: { click sequence [ a1], search sequence [ a2], download sequence [ a3] }. The click sequence here may be an object operation behavior of clicking on the view details page. And clustering session behaviors to obtain categories of category secondary scenes. Each class includes application scenes (where the application scenes may include one or more of primary, secondary, and tertiary scenes) of objects, including both primary and auxiliary requirements.

After the object starts to use the burden, entering the acquisition of the application scene information can specifically include:

The initialization process comprises the following steps: whether the object is newly put into use or not is judged when the object initially enters the distribution application, for example, a newly put-into-use mobile phone. The new device enters the necessary application scene, or else, the new device enters a boring shopping scene.

The scene behavior is mainly composed of five tuples: respectively browsing, clicking, searching, downloading and switching scenes.

Each tuple of the scene has a corresponding behavior sequence, such as a browsed application sequence, a clicked application sequence, a searched application sequence, a downloaded application sequence, a theme or a function switching sequence. There may be multiple application topics or multiple different functions under an application. For example, news applications have news reading pages, comment pages, community pages, and different pages correspond to different topics and/or functions. The theme or function switching sequence herein may be a theme switching and/or function switching behavior of the object behavior within the application. And carrying out characteristic abstract work by adopting the behavior sequences to obtain a characteristic vector. The method for the characterization work through deep learning is adopted at present as follows:

the first step:

currently, a text depth representation model (word 2 vec) which is common in the industry is adopted to map a behavior sequence into a K-dimensional real number vector through training.

And a second step of:

constructing a 5-layer convolutional neural network for classification (the 5-layer convolutional neural network is divided into three parts, namely an input layer, an output layer and a hidden layer, wherein the hidden layer is a three-layer neural network, 5 layers are input on the calculation, the input layer 120+K nodes, 120 are inputs of a behavior sequence, k is a real number vector input, the hidden layer 120 nodes are arranged in the middle, the neurons are convolutional neurons, and the number of the output layers is equal to the number of secondary scenes

Manually constructing a training sample: and (3) manually marking the behavior sequence of the object and the corresponding scene, and training when the marking data quantity reaches a preset number (for example 10000 or 20000).

The training method adopts a back propagation training method of the neural network.

And a third step of: and predicting the feature vector corresponding to the application scene information, and obtaining the predicted sequence information of the scene as a result through the real-time prediction of the line object behavior of the 5-layer neural network.

And 3, carrying out application distribution by combining the personalized information and the application scene information.

After each application scene is identified, in a cold start (initial start of a terminal), app for auxiliary requirements is recommended randomly, and training samples are accumulated. After the cold start is finished, in each application scene, the downloaded display is taken as a positive sample, the non-downloaded display is taken as a negative sample, the object information of the object is utilized, and the regression score (Logistic regression) model is utilized for training to obtain the application scene information indicating the current application scene of the terminal. The specific training process is as follows:

And (3) using the object attribute and the characteristic data of the application scene information as the basis of training data, performing a series of processing such as data cleaning, and training by adopting a Logistic regression model under spark to obtain the applicable neural network.

The online prediction part is divided into: the candidate apps are approximately a certain number (for example, 1000); then, performing primary selection to obtain 200 apps (the 200 applications can be alternative applications); and then fine ranking is carried out by using the trained Logistic regression model, and finally rearrangement is carried out according to CVR (price is advertising bid for the purpose of benefit maximization), so that a target application is selected from alternative applications.

Target applications may also be classified in some embodiments, which may be the first level target application of highest priority, the nth level target application of nth priority. Where N is less than N, where N and N are both positive integers; the N may be the total priority level. In this embodiment, the smaller n is, the higher the priority is. The N may be a positive integer not less than 2. Through the operation, the combination of the personalized information and the scene information is realized, and the target application which can best meet the current object requirement of the object and can fully distribute the distribution requirement of the application is obtained.

Example two:

as shown in fig. 8, the present example provides a specific example based on the above application distribution method, including: an off-line processing section and an on-line processing section.

The offline processing section includes:

a data layer for acquiring object attributes and sample data corresponding to application scene information;

and the model layer is used for cleaning the data of the object attribute and the application scene information. The data cleaning herein includes filtering out sample data having a number of features less than a predetermined number. The data cleansing may further comprise: the number of samples including one feature in all the sample data is filtered out to be smaller than the specified number of features. Dirty data with low confidence in sample data can be filtered through data cleaning, so that the recognition accuracy of the neural network obtained through training is improved.

Also included in the model layer are: acquiring a characteristic module; the feature template stores standardized expression forms of features, and in this example, original object features in sample data are converted into standardized features representing numerical values of the original features or table conversion specific expressions of the character string features through feature mapping according to the obtained feature template.

Also included in the model layer are: a sample template is obtained, and an information format of how to sort or store the sample data is recorded in the sample template. For example, in the present embodiment, a training data format is provided in the sample template, the data format including: one or more data units; each data unit comprises: sample tag, feature: feature weights. The sample label corresponds to the identification result; the characteristics correspond to the characteristics of the previous application scene information, the object attribute, the operation data and the like; and the feature weight is used for indicating the influence degree of each feature on the identification result. The plurality of data units in turn form a feature vector.

The obtained sample characteristics and the standardized characteristics converted according to the characteristics are input into a common interface, and the common interface is used for arranging sample data into a controlled sample template to form a sample data file.

Further, the sample data file is processed Logistic regression to obtain a model that can be used to identify the currently desired target application.

Before the model is put on line, the model in Logistic regression training and the model obtained by training need to be checked and calibrated by the monitoring module by using verification data so as to ensure the accuracy of the model obtained by training.

In performing the Logistic regression process, the parameters required in Logistic regression process may be provided by a configuration module.

The final model is brought on line.

The online processing section includes:

acquiring application information of candidate APP;

initial selection may include: performing primary screening on candidate APP by using application scene information to obtain alternative application

Choice, may include: selecting alternative applications by using regression analysis and other methods to obtain target applications;

re-shooting, which may include: based on CVR, recommended parameters and the like, sequencing the sequence of the target applications again, and determining the target applications which are preferentially distributed or recommended;

In summary, in the online processing part, real-time keyword (Key Value) storage, stream calculation and online scoring obtain comprehensive scores of all candidate applications, and finally the target application is determined according to the comprehensive scores.

The KV is stored as various keywords for determining related information of a target application, such as storage object attributes, application scene information and the like, so that the information storage amount is reduced. And in this example a real-time store is employed, where the real-time store may be a store of the key with a predetermined time interval small enough.

The stream computation here may include: firstly, storing data, and then, carrying out analysis processing such as analysis query and the like on the data to obtain a processing result; the flow calculation mode has the characteristics of compact processing rhythm, small time delay and the like.

Example three:

the present example provides an application distribution apparatus, which may include:

fig. 9 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention. The application distribution apparatus shown in fig. 9 includes: at least one processor 201, memory 202, and at least one network interface 204. The various components in mobile terminal 200 are coupled together by bus system 205. It is understood that the bus system 205 is used to enable connected communications between these components. The bus system 205 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration the various buses are labeled as bus system 205 in fig. 7.

It will be appreciated that the memory 202 in embodiments of the invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (Double Data Rate SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and Direct RAM (DRRAM). The memory 202 of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

In some implementations, the memory 202 stores the following elements, executable modules or data structures, or a subset thereof, or an extended set thereof: an operating system 2021 and application programs 2022.

The operating system 2021 contains various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application 2022 includes various application programs such as a Media Player (Media Player), a Browser (Browser), and the like for implementing various application services. The program implementing the method of the embodiment of the present invention may be contained in the application program 2022.

In the embodiment of the present invention, the processor 201 may be configured to execute the application distribution method provided in any one of the foregoing method embodiments, specifically, at least execute the application distribution method shown in fig. 1, fig. 4, and fig. 5, by calling a program or an instruction stored in the memory 202, specifically, a program or an instruction stored in the application program 2022.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing module, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An application distribution method, comprising:

acquiring current position information of a terminal, schedule information stored by the terminal, current use state information of the terminal and object operation data according to a time interval;

determining primary scene information based on the corresponding relation between at least one of the position information, the schedule information, the current use state information and the object operation data and application scene information and influence weight on the application scene information, wherein the primary scene information is used for indicating primary dimensions corresponding to the application currently required by the terminal;

determining secondary scene information under the primary scene information based on the corresponding relation between at least one of the position information, the schedule information, the current use state information and the object operation data and the application scene information and the influence weight on the application scene information, wherein the secondary scene information comprises description information of secondary dimension under the primary dimension corresponding to the primary scene information;

Determining tertiary scene information under the secondary scene information based on the corresponding relation between at least one of the position information, the schedule information, the current use state information and the object operation data and the application scene information and the influence weight on the application scene information, wherein the tertiary scene information comprises description information for describing tertiary dimensions under the secondary dimensions, and the description information of the tertiary dimensions represents application categories;

acquiring an application major class corresponding to the primary dimension, an application minor class corresponding to the description information of the secondary dimension and an application class corresponding to the description information of the tertiary dimension, wherein the application minor class is a sub-class of the application major class and the application class is a sub-class of the application minor class;

acquiring target applications at least partially meeting the application major class, the application minor class and the application class;

determining display parameters of the target application on an application distribution interface, wherein the display parameters at least comprise display position parameters;

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the primary scene information includes: and carrying out application division on the scene information according to the preset division dimension.

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

the secondary scene information is used for indicating a secondary dimension corresponding to the application currently required by the terminal.

4. A method according to any one of claim 1 to 3, wherein,

the method further comprises the steps of:

the obtaining a target application that at least partially satisfies the application class, the application subclass, and the application class includes:

and acquiring target applications which meet the preset matching relation with the preset information and at least partially meet the application major class, the application minor class and the application class.

5. The method according to claim 4, wherein the method further comprises:

after determining that the preset matching relation is met with the preset information and at least partial matching relation is met with the application major class, the application minor class and the alternative application of the application class, obtaining at least one of conversion rate CVR and/or recommended parameters of the alternative application;

6. A method according to any one of claims 1 to 3, characterized in that before acquiring the current location information of a terminal, the schedule information stored by the terminal, the current usage status information of the terminal and the object operation data at time intervals, the method further comprises:

acquiring operation data of the terminal applied by the object;

generating a behavior quintuple from the operation data, wherein the quintuple comprises: browsing behavior information, clicking behavior information, searching behavior information, downloading behavior information and use switching behavior information;

and taking the five-tuple as the object operation data.

7. An application distribution apparatus, comprising:

the terminal comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring current position information of a terminal, schedule information stored by the terminal, current use state information of the terminal and object operation data according to time intervals; determining primary scene information based on the corresponding relation between at least one of the position information, the schedule information, the current use state information and the object operation data and application scene information and influence weight on the application scene information, wherein the primary scene information is used for indicating primary dimensions corresponding to the application currently required by the terminal; determining secondary scene information under the primary scene information based on the corresponding relation between at least one of the position information, the schedule information, the current use state information and the object operation data and the application scene information and the influence weight on the application scene information, wherein the secondary scene information comprises description information of secondary dimension under the primary dimension corresponding to the primary scene information; determining tertiary scene information under the secondary scene information based on the corresponding relation between at least one of the position information, the schedule information, the current use state information and the object operation data and the application scene information and the influence weight on the application scene information, wherein the tertiary scene information comprises description information for describing tertiary dimensions under the secondary dimensions, and the description information of the tertiary dimensions represents application categories;

A first determining unit, configured to obtain an application major class corresponding to the primary dimension, an application minor class corresponding to the description information of the secondary dimension, and an application class corresponding to the description information of the tertiary dimension, where the application minor class is a sub-class of the application major class, and the application class is a sub-class of the application minor class; acquiring target applications at least partially meeting the application major class, the application minor class and the application class;

the second determining unit is used for determining display parameters of the target application on an application distribution interface, wherein the display parameters at least comprise display position parameters;

8. The apparatus of claim 7, wherein the device comprises a plurality of sensors,

9. The apparatus of claim 8, wherein the device comprises a plurality of sensors,

10. The device according to any one of claims 8 to 9, wherein,

The acquisition unit is further configured to acquire predetermined information, where the predetermined information includes: at least one of historical operation data, current operation data and object attributes of the object operation terminal;

the first determining unit is specifically configured to obtain a target application that satisfies a preset matching relationship with the predetermined information and at least partially satisfies the application major class, the application minor class, and the application class.

11. The apparatus of claim 10, wherein the device comprises a plurality of sensors,

the first determining unit is further specifically configured to obtain at least one of a conversion rate CVR and/or a recommended parameter of an alternative application when it is determined that the predetermined information meets a preset matching relationship and at least partially meets the alternative application of the application major class, the application minor class, and the application class; and selecting a target application from the alternative applications according to the CVR and the recommended parameters.