CN113792227A - Method, system and medium for ranking applications based on multi-dimensional smart screen - Google Patents

Abstract

The invention discloses a method, a system and a medium for ranking applications based on a multi-dimensional intelligent screen, wherein the method comprises the following steps: setting first data information and a data mapping conversion strategy of a plurality of applications to be ranked; acquiring the first data information, the second data information and the third data information of a plurality of applications to be ranked, and constructing ranking data of each application to be ranked according to the data mapping conversion strategy, the first data information, the second data information and the third data information; according to the ranking data, performing application ranking operation on the plurality of applications to be ranked; through the mode, the ranking of the smart screen application can be integrally optimized through multi-dimensional comparison under the condition that the original smart screen ranking algorithm code is not changed, the storage space is saved, the ranking accuracy of the smart screen application in an ecological application system is guaranteed, and the operation efficiency of the smart screen application ranking algorithm is improved.

Description

Method, system and medium for ranking applications based on multi-dimensional smart screen

Technical Field

The invention relates to the technical field of application ranking, in particular to a method, a system and a medium for ranking applications based on a multi-dimensional intelligent screen.

Background

With the rise of intelligent terminals, more and more applications are installed on the intelligent terminals, and more applications are selected by users, so how to select the applications becomes a difficult problem. Aiming at the problem, the application ranks are designed in each application mall, when a user searches for a certain type of application, a rank is generated in each application mall according to each item of data of each application, and the user can select according to the rank and by combining with the actual application of the user.

The existing application ranking algorithm generally calculates the ranking by means of a zsort data structure of redis; when the score of zsort is the same, two cache keys are set, key1 stores the application number and priority information, key2 stores the application number, application downloading amount and application uploading time, when application ranking is carried out, the zsort set is completely traversed, and when the score is the same, the data of key2 is traversed to obtain the application downloading amount and uploading time information, and secondary sorting is carried out.

However, the ranking algorithm causes too much data overhead and wastes a large storage space, and meanwhile, the front-end response speed is slowed down, and the speed advantage of the cache database is lost.

Disclosure of Invention

The invention mainly solves the problems that the existing application ranking algorithm has too large data overhead, wastes storage space and has low response speed.

In order to solve the above problems, the present invention adopts a technical solution that: the method for ranking the applications based on the multi-dimensional smart screen comprises the following steps:

initialization: setting first data information of a plurality of applications to be ranked; constructing a data mapping conversion strategy according to a plurality of pieces of first data information;

constructing ranking data: acquiring the first data information, the second data information and the third data information of a plurality of applications to be ranked, and constructing ranking data of each application to be ranked according to the data mapping conversion strategy, the first data information, the second data information and the third data information;

application ranking: and according to the ranking data, executing application ranking operation on the plurality of applications to be ranked.

Further, the step of constructing ranking data further comprises:

acquiring first data: acquiring the first data information of the plurality of applications to be ranked, and executing mapping operation on the first data information according to the data mapping conversion strategy to obtain a plurality of first conversion data;

acquiring second data: acquiring second data information of a plurality of applications to be ranked, and executing second data conversion operation on the second data information to obtain a plurality of second conversion data;

acquiring third data: acquiring the third data information of the plurality of applications to be ranked, and executing third data conversion operation on the third data information to obtain a plurality of third conversion data;

obtaining ranking data: and performing data splicing operation on the plurality of first mapping data, the plurality of second conversion data and the plurality of third conversion data to obtain a plurality of ranking data.

Further, the step of acquiring the first data further comprises:

acquiring a plurality of pieces of first data information of the applications to be ranked to obtain a plurality of pieces of first data information; and performing data mapping conversion on each piece of first data information according to a data mapping conversion strategy to obtain the first conversion data applied to each rank.

Further, the step of acquiring the second data further comprises:

acquiring a plurality of pieces of second data information of the applications to be ranked to obtain a plurality of pieces of second data information;

and acquiring first attribute information of the plurality of pieces of second data information, and respectively executing the second data conversion operation on the plurality of pieces of first attribute information to obtain the second conversion data of each application to be ranked.

Further, the step of performing the second data conversion operation on the plurality of first attribute information respectively further includes:

performing size comparison operation on the first attribute information to obtain maximum first attribute information; and performing data bit filling operation on a plurality of other first attribute information according to the maximum first attribute information.

Further, the step of obtaining third data further comprises:

obtaining a plurality of third data information of the applications to be ranked to obtain a plurality of third data information; and carrying out format conversion on the plurality of pieces of third data information to obtain the third conversion data applied to each ranking.

Further, the step of obtaining ranking data further comprises:

acquiring the first conversion data, the second conversion data and the third conversion data of each application to be ranked, and splicing the second conversion data at the tail end of the first conversion data to obtain temporary ranking data; and splicing the third conversion data at the tail end of the temporary ranking data to obtain the ranking data of each application to be ranked.

Further, the step of ranking the applications further comprises:

acquiring the ranking data of a plurality of applications to be ranked, and constructing a ranking data set according to the applications to be ranked and the ranking data; performing a sort operation on the set of ranked data.

A system for ranking based on multi-dimensional smart screen applications, comprising: the device comprises an initialization module, a ranking data construction module and an application ranking module;

the initialization module is used for setting first data information of a plurality of applications to be ranked; constructing a data mapping conversion strategy according to a plurality of pieces of first data information;

the ranking data building module is used for obtaining the first data information, the second data information and the third data information of a plurality of applications to be ranked and building ranking data of each application to be ranked according to the data mapping conversion strategy, the first data information, the second data information and the third data information;

the application ranking module is used for executing application ranking operation on the plurality of applications to be ranked according to the ranking data;

the ranking data constructing module comprises a first data acquiring unit, a second data acquiring unit, a third data acquiring unit and a ranking data acquiring unit;

the first data acquiring unit is used for acquiring the first data information of the applications to be ranked and executing mapping operation on the first data information according to the data mapping conversion strategy to obtain a plurality of first conversion data;

the second data acquiring unit is used for acquiring second data information of the plurality of applications to be ranked and executing second data conversion operation on the second data information to obtain a plurality of second conversion data;

the third data acquiring unit is used for acquiring a plurality of pieces of third data information of the applications to be ranked and executing third data conversion operation on the third data information to obtain a plurality of pieces of third conversion data;

the ranking data acquiring unit is used for performing data splicing operation on the plurality of first mapping data, the plurality of second conversion data and the plurality of third conversion data to obtain the plurality of ranking data.

The invention also provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the method for ranking a multi-dimensional smart screen-based application.

The invention has the beneficial effects that:

1. the method for ranking the applications based on the multi-dimensional intelligent screen can realize that the ranking algorithm of the intelligent screen applications is integrally optimized under the condition that original codes are not changed, saves storage space and improves the operation efficiency of the ranking algorithm of the intelligent screen applications;

2. the system based on the multi-dimensional intelligent screen application ranking can realize the ranking calculation of the intelligent screen application through multi-dimension, ensure the accuracy of the intelligent screen application ranking and improve the experience of users;

3. the medium based on the multi-dimensional intelligent screen application ranking can solve the problems that the intelligent screen application ranking takes long time and is inaccurate in ranking under the condition that the download amount is the same, and the accuracy of the intelligent screen application ranking is improved by introducing multi-dimensions.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a flowchart of a method for ranking applications based on a multi-dimensional smart screen according to embodiment 1 of the present invention;

FIG. 2 is a flowchart of ranking data constructing steps of a method for ranking based on a multi-dimensional smart screen application according to embodiment 1 of the present invention;

FIG. 3 is a diagram illustrating a system for ranking applications based on a multi-dimensional smart screen according to embodiment 2 of the present invention;

fig. 4 is a schematic diagram of a module for constructing ranking data of a system for ranking based on a multi-dimensional smart screen application according to embodiment 2 of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood 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.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the "applications to be ranked", "first data information", "data mapping conversion policy", "second data information", "third data information", "ranking data", "application ranking operation", "mapping operation", "first conversion data", "second data conversion operation", "second conversion data", "third data conversion operation", "third conversion data", "data splicing operation", "first attribute information", "maximum first attribute information", "data padding operation", "format conversion", "temporary ranking data", "ranking data set", "initialization module", "construction ranking data module", "application ranking module", "acquisition of first data unit", "acquisition of second data unit", and "acquisition of second data unit The terms "acquiring a third data unit", "acquiring a ranking data unit", "priority mapping data", "application download amount", "application download quanta", "complement download amount data", "time on shelf", "formatting", "time on shelf data", "end", "smart screen ecosystem", "front end", "ranking presentation", and the like, should be understood in a broad sense. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

Furthermore, the terms "first", "second", "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature.

Example 1

The embodiment of the present invention provides a method for ranking applications based on a multidimensional smart screen, please refer to fig. 1 and 2, which includes the following steps:

s100, initialization:

acquiring all applications to be ranked in an intelligent screen ecological application system, and setting first data information, namely priority, for all the applications; and setting a corresponding data mapping conversion strategy according to the priority.

For the purpose of explaining the present invention more clearly, it is assumed that there are 10 applications needing ranking in the current smart screen ecosystem, and the names of the applications are application one, application two, application three, application four, application five, application six, application seven, application eight, application nine and application ten; then, the 10 applications need to be set with priorities according to actual requirements, the priority of the application one is set to be 8, the priority of the application two is set to be 3, the priority of the application three is set to be 9, the priority of the application four is set to be 7, the priority of the application five is set to be 1, the priority of the application six is set to be 2, the priority of the application seven is set to be 4, the priority of the application eight is set to be 6, the priority of the application nine is set to be 0, and the priority of the application ten is set to be 5; setting the data mapping conversion strategy to be that the mapping value corresponding to the priority level of 0 is 9, the mapping value corresponding to the priority level of 1 is 8, the mapping value corresponding to the priority level of 2 is 7 … …, and the like, and the mapping value corresponding to the priority level of 9 is 0.

S200, constructing ranking data:

s201, acquiring first data:

acquiring first data information, namely priorities, of a plurality of applications to be ranked, and acquiring a plurality of priorities; and then, converting the priority of each application with the ranking name according to a data mapping conversion strategy to obtain first conversion data of each application to be ranked, namely priority mapping data.

In order to explain the present invention more clearly, the example in the initialization step continued with S100 is illustrated here, the priority of the application one is obtained as 8, and the priority of the application one is converted according to the data mapping conversion policy, so that the priority mapping data of the application one is obtained as 1; and obtaining the priority of the second application as 3, converting the priority of the second application according to a data mapping conversion strategy, obtaining the priority mapping data of the second application as 6 … …, and so on, and sequentially obtaining the respective priority mapping data of the ten applications.

S202, acquiring second data:

acquiring second data information of a plurality of applications to be ranked, namely application download amount, and obtaining a plurality of application download amount; then, acquiring first attribute information of the application download quantity of each application to be ranked, namely the application download quantity digits, and obtaining a plurality of application download quantity digits;

traversing a plurality of application downloading quanta to obtain the maximum application downloading quanta, complementing other application downloading quanta according to the value of the maximum application downloading quanta, complementing other application downloading quanta, wherein the obtained number of digits is the same as the maximum application downloading quanta, and each application downloading quanta has the same complementing digit value and is complemented on the left side of the application downloading quanta; and completing bit complementing, and obtaining second conversion data of each application to be ranked and bit complementing download amount data.

For a more clear explanation of the present invention, the example in the step of S201 of obtaining the first data is illustrated here, assuming that the download amount of the first application is 14932510, the download amount of the second application is 8532412, the download amount of the third application is 87138, the download amount of the fourth application is 12647, the download amount of the fifth application is 23654, the download amount of the sixth application is 85401, the download amount of the seventh application is 42156, the download amount of the eighth application is 9513, the download amount of the ninth application is 22189, and the download amount of the tenth application is 1635, then ten bits of the download amounts of the applications are respectively obtained, the ten bits of the download amounts are respectively compared in a traversal manner to obtain the maximum download amount, that is, the maximum download amount of the first application is 22125, then the two to thirteen download amounts of the first application are all subjected to bit complement, where 0 is selected as a complement value, and then the first data of the first application is 14932510, the complement download amount data of application two is 08532412, the complement download amount data of application three is 00087138, the complement download amount data of application four is 00012647 … …, and so on, and the complement download amount data of application ten is 00001635.

S203, acquiring third data:

obtaining third data information of a plurality of applications to be ranked, namely the time to put on shelf, and obtaining a plurality of time to put on shelf; after a plurality of time-to-live frames are formatted, third conversion data of each application to be ranked, namely time-to-live frame data, can be obtained.

To explain the present invention more clearly, the example in the step of continuing S202 to acquire the second data is illustrated here, the time to put up the first application is acquired as 5-6 th of 2020 year, the time to put up the second application is acquired as 4-7 th of 2020 year, the time to put up the third application is acquired as 4-6 th of 2021 year, the time to put up the fourth application is acquired as 3-9 th of 2020 year, the time to put up the fifth application is acquired as 12-10 th of 2020 year, the time to put up the sixth application is acquired as 8-8 th of 2020 year, the time to put up the seventh application is acquired as 1-4 th of 2021 year, the time to put up the eighth application is acquired as 2-2 th of 2021 year, the time to put up the ninth application is acquired as 9-9 th of 2021 year, and the time to put up the tenth application is acquired as 6-6 th of 2021 year; the ten applications are formatted, and the data of the first application on the shelf is 20200506, the data of the second application on the shelf is 20200407, the data of the third application on the shelf is 20210406, the data of the fourth application on the shelf is 20200309, the data of the fifth application on the shelf is 20201210, the data of the sixth application on the shelf is 20200808, the data of the seventh application on the shelf is 20210104, the data of the eighth application on the shelf is 20210202, the data of the ninth application on the shelf is 20210409, and the data of the tenth application on the shelf is 20210606.

S204, obtaining ranking data:

acquiring priority mapping data, complement bit download quantity data and shelf time data of each application to be ranked, and splicing the complement bit download quantity data at the tail end of the priority mapping data to obtain temporary ranking data; and splicing the time data on the shelf at the tail end of the temporary ranking data to obtain the ranking data of the application to be ranked.

For a more clear explanation of the present invention, the example in the step of continuing S203 to obtain the third data is illustrated here, where the priority mapping data of application one is 1, the complement download amount data of application one is 14932510, and the time-to-live data of application one is 20200506, so that the ranking data of application one is 11493251020200506, and similarly, the ranking data of application two is 60853241220200407 … …, and so on, the ranking data of ten applications to be ranked can be obtained.

S300, application ranking:

the method comprises the steps of obtaining ranking data of a plurality of applications to be ranked, constructing a ranking data set according to the applications to be ranked and the ranking data, sequencing the ranking data set, namely comparing the ranking data of each application to be ranked, obtaining the ranking sequence of the applications to be ranked, and pushing the data to the front end of the smart screen ecological application system for application ranking display.

To explain the present invention more clearly, the example of the step of continuing S204 to obtain the ranking data is illustrated here, and the ranking data sets are { ("apply one", "11493251020200506"), ("apply two", "60853241220200407") … … ("apply ten", "40000163520210606") }, and the ranking calculation is performed on the ranking data sets, and the sizes are compared according to the values of the ranking data, so that the ranking order of ten applications can be obtained.

It should be noted that the above examples are only for explaining the implementation of the present invention, and do not limit the protection scope of the present invention.

Example 2

The embodiment of the present invention further provides a system for ranking applications based on a multi-dimensional smart screen, please refer to fig. 3 and 4, which includes: the device comprises an initialization module, a ranking data construction module and an application ranking module;

an initialization module:

the initialization module is used for setting first data information of a plurality of applications to be ranked; constructing a data mapping conversion strategy according to the first data information;

specifically, the initialization module acquires all applications to be ranked in the smart screen ecological application system and sets first data information, namely priority, for all the applications; and setting a corresponding data mapping conversion strategy according to the priority.

For the purpose of explaining the present invention more clearly, it is assumed that there are 10 applications needing ranking in the current smart screen ecosystem, and the names of the applications are application one, application two, application three, application four, application five, application six, application seven, application eight, application nine and application ten; then, the 10 applications need to be set with priorities according to actual requirements, the priority of the application one is set to be 8, the priority of the application two is set to be 3, the priority of the application three is set to be 9, the priority of the application four is set to be 7, the priority of the application five is set to be 1, the priority of the application six is set to be 2, the priority of the application seven is set to be 4, the priority of the application eight is set to be 6, the priority of the application nine is set to be 0, and the priority of the application ten is set to be 5; setting the data mapping conversion strategy to be that the mapping value corresponding to the priority level of 0 is 9, the mapping value corresponding to the priority level of 1 is 8, the mapping value corresponding to the priority level of 2 is 7 … …, and the like, and the mapping value corresponding to the priority level of 9 is 0.

A ranking data building module:

the ranking data constructing module is used for acquiring first data information, second data information and third data information of a plurality of applications to be ranked and constructing ranking data of each application to be ranked according to the data mapping conversion strategy, the first data information, the second data information and the third data information; the ranking data building module comprises a first data obtaining unit, a second data obtaining unit, a third data obtaining unit and a ranking data obtaining unit;

acquiring a first data unit:

the first data obtaining unit is used for obtaining the first data information of the applications to be ranked and executing mapping operation on the first data information according to the data mapping conversion strategy to obtain a plurality of first conversion data;

specifically, the first data obtaining unit obtains first data information, namely priorities, of a plurality of applications to be ranked, and a plurality of priorities can be obtained; and then, converting the priority of each application with the ranking name according to a data mapping conversion strategy to obtain first conversion data of each application to be ranked, namely priority mapping data.

In order to explain the present invention more clearly, the example in the continuation initialization module is described here, the priority of the application one is obtained as 8, and the priority of the application one is converted according to the data mapping conversion policy, so that the priority mapping data of the application one is obtained as 1; and obtaining the priority of the second application as 3, converting the priority of the second application according to a data mapping conversion strategy, obtaining the priority mapping data of the second application as 6 … …, and so on, and sequentially obtaining the respective priority mapping data of the ten applications.

Acquiring a second data unit:

the acquisition second data unit is used for acquiring second data information of a plurality of applications to be ranked and executing second data conversion operation on the second data information to obtain a plurality of second conversion data;

specifically, the second data obtaining unit obtains second data information of a plurality of applications to be ranked, namely application download amount, and a plurality of application download amount can be obtained; then, acquiring first attribute information of the application download quantity of each application to be ranked, namely the application download quantity digits, and obtaining a plurality of application download quantity digits;

traversing a plurality of application downloading quanta to obtain the maximum application downloading quanta, complementing other application downloading quanta according to the value of the maximum application downloading quanta, complementing other application downloading quanta, wherein the obtained number of digits is the same as the maximum application downloading quanta, and each application downloading quanta has the same complementing digit value and is complemented on the left side of the application downloading quanta; and completing bit complementing, and obtaining second conversion data of each application to be ranked and bit complementing download amount data.

For a more clear explanation of the present invention, the example of obtaining the first data unit is continued, assuming that the download amount of the first application is 14932510, the download amount of the second application is 8532412, the download amount of the third application is 87138, the download amount of the fourth application is 12647, the download amount of the fifth application is 23654, the download amount of the sixth application is 85401, the download amount of the seventh application is 42156, the download amount of the eighth application is 9513, the download amount of the ninth application is 22189, and the download amount of the tenth application is 1635, then ten bits of the download amounts of the applications are obtained, the ten bits are compared in a traversal manner, the maximum download amount can be obtained, that is, the maximum download amount of the first application is the maximum, then the two to ten download amount bits need to be complemented, where 0 is selected as a complementary value, then the complementary download amount of the first application is 14932510, the complement download amount data of application two is 08532412, the complement download amount data of application three is 00087138, the complement download amount data of application four is 00012647 … …, and so on, and the complement download amount data of application ten is 00001635.

Acquiring a third data unit:

the third data acquisition unit is used for acquiring third data information of a plurality of applications to be ranked and executing third data conversion operation on the third data information to obtain a plurality of third conversion data;

specifically, the third data obtaining unit obtains a plurality of pieces of third data information of the applications to be ranked, namely, the shelving time, and can obtain a plurality of shelving times; after a plurality of time-to-live frames are formatted, third conversion data of each application to be ranked, namely time-to-live frame data, can be obtained.

To explain the present invention more clearly, the example of obtaining the second data unit is continued, where the time spent on shelf of application one is obtained as 5-6 th of 2020 year, the time spent on shelf of application two is obtained as 4-7 th of 2020 year, the time spent on shelf of application three is obtained as 4-6 th of 2021 year, the time spent on shelf of application four is obtained as 3-9 th of 2020 year, the time spent on shelf of application five is obtained as 12-10 th of 2020 year, the time spent on shelf of application six is obtained as 8-8 th of 2020 year, the time spent on shelf of application seven is obtained as 1-4 th of 2021 year, the time spent on shelf of application eight is obtained as 2-2 th of 2021 year, the time spent on shelf of application nine is obtained as 9-4 th of 2021 year, and the time spent on shelf of application ten is obtained as 6-6 th of 2021 year; the ten applications are formatted, and the data of the first application on the shelf is 20200506, the data of the second application on the shelf is 20200407, the data of the third application on the shelf is 20210406, the data of the fourth application on the shelf is 20200309, the data of the fifth application on the shelf is 20201210, the data of the sixth application on the shelf is 20200808, the data of the seventh application on the shelf is 20210104, the data of the eighth application on the shelf is 20210202, the data of the ninth application on the shelf is 20210409, and the data of the tenth application on the shelf is 20210606.

A ranking data acquiring unit:

the ranking data acquiring unit is used for performing data splicing operation on the plurality of first mapping data, the plurality of second conversion data and the plurality of third conversion data to obtain a plurality of ranking data;

specifically, the ranking data acquiring unit acquires priority mapping data, complement bit download amount data and shelf time data of each application to be ranked, and splices the complement bit download amount data at the tail end of the priority mapping data to obtain temporary ranking data; and splicing the time data on the shelf at the tail end of the temporary ranking data to obtain the ranking data of the application to be ranked.

For a clearer explanation of the present invention, the example of obtaining the third data unit is continued, where the priority mapping data of the application one is 1, the complement download amount data of the application one is 14932510, and the time to live of the application one is 20200506, so that the ranking data of the application one is 11493251020200506, and similarly, the ranking data of the application two is 60853241220200407 … …, and so on, so that the ranking data of each of the ten applications to be ranked can be obtained.

An application ranking module:

the application ranking module is used for executing application ranking operation on a plurality of applications to be ranked according to the ranking data;

specifically, the application ranking module acquires ranking data of a plurality of applications to be ranked, establishes a ranking data set according to the applications to be ranked and the ranking data, ranks the ranking data set, namely compares the ranking data of each application to be ranked, obtains a ranking sequence of the applications to be ranked, and pushes the data to the front end of the smart screen ecological application system for application ranking display.

To explain the present invention more clearly, the example of obtaining the ranking data units is continued here and exemplified, and the ranking data sets are { ("apply one", "11493251020200506"), ("apply two", "60853241220200407") … … ("apply ten", "40000163520210606") }, and the ranking calculation is performed on the ranking data sets, and the sizes are compared according to the values of the ranking data, so that the ranking order of ten applications can be obtained.

It should be noted that the above examples are only for explaining the implementation of the present invention, and do not limit the protection scope of the present invention.

Example 3

This embodiment 3 has a computer readable storage medium for storing computer software instructions for implementing the method for ranking applications based on multi-dimensional smart screen as described in embodiment 1 above, which includes a program configured for the method for ranking applications based on multi-dimensional smart screen; specifically, the executable program may be embedded in the system for ranking based on the multi-dimensional smart screen application described in embodiment 2, so that the system for ranking based on the multi-dimensional smart screen application may implement the method for ranking based on the multi-dimensional smart screen application described in embodiment 1 by executing the embedded executable program.

The numbers of the embodiments disclosed in the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments.

It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, and a program that can be implemented by the hardware and can be instructed by the program to be executed by the relevant hardware may be stored in a computer readable storage medium, where the storage medium may be a read-only memory, a magnetic or optical disk, and the like.

The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for ranking applications based on a multi-dimensional smart screen is characterized by comprising the following steps:

initialization: setting first data information of a plurality of applications to be ranked; constructing a data mapping conversion strategy according to a plurality of pieces of first data information;

constructing ranking data: acquiring the first data information, the second data information and the third data information of a plurality of applications to be ranked, and constructing ranking data of each application to be ranked according to the data mapping conversion strategy, the first data information, the second data information and the third data information;

application ranking: and according to the ranking data, executing application ranking operation on the plurality of applications to be ranked.

2. The method of claim 1, wherein the method comprises: the step of constructing ranking data further comprises:

acquiring first data: acquiring the first data information of the plurality of applications to be ranked, and executing mapping operation on the first data information according to the data mapping conversion strategy to obtain a plurality of first conversion data;

acquiring second data: acquiring second data information of a plurality of applications to be ranked, and executing second data conversion operation on the second data information to obtain a plurality of second conversion data;

acquiring third data: acquiring the third data information of the plurality of applications to be ranked, and executing third data conversion operation on the third data information to obtain a plurality of third conversion data;

obtaining ranking data: and performing data splicing operation on the plurality of first mapping data, the plurality of second conversion data and the plurality of third conversion data to obtain a plurality of ranking data.

3. The method of claim 2, wherein the method comprises: the step of obtaining first data further comprises:

acquiring a plurality of pieces of first data information of the applications to be ranked to obtain a plurality of pieces of first data information; and performing data mapping conversion on each piece of first data information according to a data mapping conversion strategy to obtain the first conversion data applied to each rank.

4. The method of claim 2, wherein the method comprises: the step of obtaining second data further comprises:

acquiring a plurality of pieces of second data information of the applications to be ranked to obtain a plurality of pieces of second data information;

and acquiring first attribute information of the plurality of pieces of second data information, and respectively executing the second data conversion operation on the plurality of pieces of first attribute information to obtain the second conversion data of each application to be ranked.

5. The method of claim 4, wherein the method comprises: the step of performing the second data conversion operation on the plurality of first attribute information respectively further includes:

performing size comparison operation on the first attribute information to obtain maximum first attribute information; and performing data bit filling operation on a plurality of other first attribute information according to the maximum first attribute information.

6. The method of claim 2, wherein the method comprises: the step of obtaining third data further comprises:

obtaining a plurality of third data information of the applications to be ranked to obtain a plurality of third data information; and carrying out format conversion on the plurality of pieces of third data information to obtain the third conversion data applied to each ranking.

7. The method of claim 2, wherein the method comprises: the step of obtaining ranking data further comprises:

acquiring the first conversion data, the second conversion data and the third conversion data of each application to be ranked, and splicing the second conversion data at the tail end of the first conversion data to obtain temporary ranking data; and splicing the third conversion data at the tail end of the temporary ranking data to obtain the ranking data of each application to be ranked.

8. The method of claim 1, wherein the method comprises: the step of ranking the applications further comprises:

acquiring the ranking data of a plurality of applications to be ranked, and constructing a ranking data set according to the applications to be ranked and the ranking data; performing a sort operation on the set of ranked data.

9. A system based on multi-dimensional smart screen application ranking, comprising: the device comprises an initialization module, a ranking data construction module and an application ranking module;

the initialization module is used for setting first data information of a plurality of applications to be ranked; constructing a data mapping conversion strategy according to a plurality of pieces of first data information;

the ranking data building module is used for obtaining the first data information, the second data information and the third data information of a plurality of applications to be ranked and building ranking data of each application to be ranked according to the data mapping conversion strategy, the first data information, the second data information and the third data information;

the application ranking module is used for executing application ranking operation on the plurality of applications to be ranked according to the ranking data;

the ranking data constructing module comprises a first data acquiring unit, a second data acquiring unit, a third data acquiring unit and a ranking data acquiring unit;

the first data acquiring unit is used for acquiring the first data information of the applications to be ranked and executing mapping operation on the first data information according to the data mapping conversion strategy to obtain a plurality of first conversion data;

the second data acquiring unit is used for acquiring second data information of the plurality of applications to be ranked and executing second data conversion operation on the second data information to obtain a plurality of second conversion data;

the third data acquiring unit is used for acquiring a plurality of pieces of third data information of the applications to be ranked and executing third data conversion operation on the third data information to obtain a plurality of pieces of third conversion data;

the ranking data acquiring unit is used for performing data splicing operation on the plurality of first mapping data, the plurality of second conversion data and the plurality of third conversion data to obtain the plurality of ranking data.

10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the method steps of a multi-dimensional smart screen application ranking based on claims 1 to 8.

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