WO2017124377A1 - App rank prediction method and system - Google Patents

Abstract

An app rank prediction method and system. The method comprises the following steps: obtaining related parameters of apps (101); and inputting the related parameters to a trained support vector machine for calculation to obtain ranks of the apps (102). The method and system have the advantage of predicting app ranks.

Description

 Invention name: an app ranking prediction method and system

 Technical field

 [0001] The present invention relates to the field of Internet, and in particular, to a method and system for ranking a app.

 Background technique

 [0002] As smartphones enter daily life, apps are increasingly being applied to mobile phones. There are a large number of existing apps, and app rankings are generally ranked by download volume, ranking for software vendors. It is very important to say that it is very important to make a correct prediction of the rankings. There is no way to effectively predict the app ranking.

 technical problem

 [0003] The present application provides a ranking prediction method for an app. It solves the shortcoming that the prior art technical solution cannot effectively predict the app ranking.

 Problem solution

 Technical solution

 [0004] In one aspect, a method for predicting a ranking of an app is provided, the method comprising the following steps:

[0005] obtaining relevant parameters of the app;

 [0006] Input the relevant parameter into the trained support vector machine to calculate the ranking of the app.

[0007] Optionally, the method further includes:

 [0008] Obtain the actual ranking of the app, and adjust the trained support vector machine according to the actual ranking.

[0009] Optionally, the method further includes:

 [0010] If the app's ranking is lower, the app is modified to recalculate the app's ranking.

[0011] In a second aspect, a ranking prediction system for an app is provided, where the system includes:

[0012] an obtaining unit, configured to acquire related parameters of the app;

 [0013] a calculating unit, configured to input the relevant parameter into the trained support vector machine to calculate and obtain a ranking of the app.

 [0014] Optionally, the system further includes:

[0015] an adjustment unit, configured to obtain an actual ranking of the app, and support the training according to the actual ranking The measuring machine is adjusted.

 [0016] Optionally, the system further includes:

 [0017] a modifying unit, configured to recalculate the ranking of the app after modifying the app if the ranking of the app is lower.

 Advantageous effects of the invention

 Beneficial effect

 [0018] The technical solution provided by the present invention acquires relevant parameters of the app, inputs the relevant parameters into the trained support vector machine to calculate and obtain the ranking of the app, so it has the advantage of intelligently predicting the app ranking.

 Brief description of the drawing

 DRAWINGS

 [0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are some embodiments of the present invention. For those skilled in the art, other drawings may be obtained based on these drawings without any creative work.

1 is a flowchart of a method for predicting a ranking of an app according to a first preferred embodiment of the present invention; [0021] FIG. 2 is a ranking prediction system for an app according to a second preferred embodiment of the present invention; Structure diagram.

Embodiments of the invention

 The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are a part of the embodiments of the present invention, but not all embodiments. . All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without departing from the inventive work are all within the scope of the present invention.

 Please refer to FIG. 1. FIG. 1 is a method for predicting the ranking of an app according to a first preferred embodiment of the present invention. The method is as shown in FIG. 1 and includes the following steps:

 [0024] Step S101: Acquire relevant parameters of the app;

[0025] Step S102, input the relevant parameter into the trained support vector machine to calculate the ranking of the app. The technical solution provided by the present invention acquires related parameters of the app, and inputs the relevant parameters into the trained support vector machine to calculate and obtain the ranking of the app, so it has the advantage of intelligently predicting the app ranking.

[0027] Optionally, after the step S102, the foregoing method may further include:

 [0028] Step S103: Obtain an actual ranking of the app, and adjust the trained support vector machine according to the actual ranking.

 [0029] Optionally, after the step S102, the foregoing method may further include:

[0030] If the app's ranking is lower, the app is modified to recalculate the app's ranking.

[0031] Please refer to FIG. 2. FIG. 2 is a ranking prediction system of an app according to a second preferred embodiment of the present invention. The system includes:

 [0032] The obtaining unit 201 is configured to acquire related parameters of the app.

 [0033] The calculating unit 202 is configured to input the relevant parameter into the trained support vector machine to calculate and obtain a ranking of the app.

 [0034] The technical solution provided by the present invention acquires relevant parameters of the app, inputs the relevant parameters into the trained support vector machine to calculate and obtain the ranking of the app, so it has the advantage of intelligently predicting the app ranking.

[0035] Optionally, the foregoing system may further include:

 [0036] The adjusting unit 203 is configured to obtain an actual ranking of the app, and adjust the trained support vector machine according to the actual ranking.

[0037] Optionally, the foregoing system may further include:

 [0038] The modifying unit 204 is configured to recalculate the ranking of the app after modifying the app if the ranking of the app is lower.

 [0039] It should be noted that, for the foregoing various method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. The limitation is that, in accordance with the present invention, certain steps may be performed in other orders or in the same manner. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

 [0040] In the above embodiments, the descriptions of the various embodiments are different, and the parts that are not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0041] Those of ordinary skill in the art will appreciate that all or part of the various steps of the above embodiments may be The program is stored in a computer readable storage medium, and the storage medium may include: a flash disk, a read only memory (English: Read-Only Memory, abbreviation: ROM), and a random memory. Picker (English: Random Access Memory, referred to as: RAM), disk or CD.

 The content downloading method and the related device and system provided by the embodiments of the present invention are described in detail above. The principles and implementation manners of the present invention are described in the specific examples. The description of the above embodiments is only used to help understand the present invention. The method of the invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and the scope of application. It is understood to be a limitation of the invention.

Claims

Claim  [Attachment 1] An app ranking prediction method, the method comprising the steps of: acquiring related parameters of an app;  The relevant parameters are input into the trained support vector machine to calculate the ranking of the app. [Claim 2] The method according to claim 1, wherein the method further comprises:  Get the actual ranking of the app and adjust the trained support vector machine based on the actual ranking.  [Claim 3] The method according to claim 1, wherein the method further comprises:  If the app's ranking is lower, the app is modified and the app's ranking is recalculated.  [Claim 4] An app ranking prediction system, wherein the system includes:  An obtaining unit, configured to acquire related parameters of the app;  The calculating unit is configured to input the relevant parameter into the trained support vector machine to calculate the ranking of the app.  [Claim 5] The system according to claim 4, wherein the system further comprises:  The adjusting unit is configured to obtain an actual ranking of the app, and adjust the trained support vector machine according to the actual ranking. [Claim 6] The system according to claim 4, wherein the system further comprises:  Modify the unit, if the ranking of the app is lower, modify the app and recalculate the ranking of the app.