CN110069320B - Classification correction method, terminal, system and storage medium for application program - Google Patents
Classification correction method, terminal, system and storage medium for application program Download PDFInfo
- Publication number
- CN110069320B CN110069320B CN201910356621.6A CN201910356621A CN110069320B CN 110069320 B CN110069320 B CN 110069320B CN 201910356621 A CN201910356621 A CN 201910356621A CN 110069320 B CN110069320 B CN 110069320B
- Authority
- CN
- China
- Prior art keywords
- application
- list
- application program
- classification
- tag
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application discloses a classification correction method, a terminal, a system and a storage medium of an application program, and belongs to the technical field of communication. The method comprises the following steps: the method comprises the steps that classification duty ratio of application programs in a first application list in the same desktop screen or the same folder of a terminal is analyzed, label information of the application program with highest confidence coefficient matched with the classification with the largest duty ratio is obtained, then the label matching degree of the label information and each application program in the first application list is calculated, label weight values of each application program are adjusted according to the matching degree, and then the classification of each application program in an application center is corrected according to the adjusted label weight values of each application program by an application center server. By the method, the tag weight of the application program can be adjusted according to the classification of the application program downloaded by the user to the terminal, so that the classification of the application program of the application center is corrected, and the user can conveniently and rapidly search the application program accurately.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a classification correction method, a terminal, a system, and a storage medium for an application program.
Background
In the mobile internet era, with popularization and popularization of intelligent terminals, users continuously pursue high-quality internet access experience to acquire Application programs conforming to personal preferences, and an Application center serves as an entrance for downloading internet APP (Application program), and it is self-evident that the Application center is not portable. In the prior art, for drainage, a publisher of an application in an application center may add many weak related or irrelevant tag information to an APP, such as: the label information contained in the messenger video APP is: concert, music, hotness, variety of games, etc. The APP label classification inaccuracy can be caused by the classification mode, so that the defect that a user cannot accurately search an application program when searching the APP in an application center is caused, and the user experience is poor.
Therefore, it is necessary to provide a method, a terminal, a system and a storage medium for classifying and correcting application programs in an application center, so as to facilitate a user to quickly and accurately search for application programs to be downloaded.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, a terminal, a system and a storage medium for classifying and correcting an application program, so as to solve the problem that the classification of APP labels is inaccurate due to the classification mode of the existing application center, and thus users cannot accurately search for the application program when searching for APP in the application center, and the user experience is poor.
The technical scheme adopted for solving the technical problems is as follows:
according to a first aspect of the present application, there is provided a classification correction method of an application program, applicable to a terminal, the method comprising:
acquiring a first application list of each desktop screen or folder of a terminal, wherein the first application list comprises all application programs in the folder, or the first application list comprises all application programs in the desktop screen which are not put in the folder;
counting the classification information duty ratio of each application program in the first application list, and acquiring the classification with the largest duty ratio;
extracting an application program APP_best with highest confidence of matching with the category with the largest duty ratio from the first application list;
adjusting the tag weight of each application program in the first application list according to the matching degree of the tag information of the APP_best and the tag information of each application program in the first application list;
and sending the adjusted label weight of each application program to an application center server, and correcting the classification of each application program in the application center by the application center server according to the label weight.
According to a second aspect of the present application, there is provided a terminal, comprising:
a memory, a processor, and a computer program stored on the memory and executable on the processor;
the computer program, when executed by the processor, implements the steps of the method as described in the first aspect.
According to a third aspect of the present application, there is provided a classification correction system for an application program, characterized in that the system comprises a terminal and an application center server according to the second aspect;
the application center server comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and the computer program realizes that the classification of each application program in the application center is corrected according to the label weight of the application program after the adjustment of each terminal when the computer program is executed by the processor.
According to a fourth aspect of the present application, there is provided a storage medium, wherein a classification correction program of an application program is stored on the storage medium, the classification correction program of the application program, when executed by a processor, implementing the steps of the classification correction method of the application program as described in the first aspect
According to the classification correction method, terminal and storage medium for application programs, firstly, classification duty ratio of application programs in a first application list in the same desktop screen or the same folder is analyzed by the terminal, label information of the application program with highest confidence coefficient matched with the classification with the largest duty ratio is obtained, then, the label matching degree of the label information and each application program in the first application list is calculated, the label weight of each application program is adjusted according to the matching degree, and then, classification of each application program in an application center is corrected by an application center server according to the adjusted label weight of each application program. By the method, the tag weight of the application program can be adjusted according to the classification of the application program downloaded by the user to the terminal, so that the classification of the application program of the application center is corrected, and the user can conveniently and quickly search for the application program to be downloaded.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention;
fig. 2 is a schematic diagram of a communication network system according to an embodiment of the present invention;
FIG. 3 is a flowchart of a classification correction method for an application according to an embodiment of the present application;
FIG. 4 is a flow chart of step 301 in the method of FIG. 3;
FIG. 5 is a flowchart of another classification correction method for an application according to a second embodiment of the present disclosure;
FIG. 6 is a flowchart of a method for adjusting the tag weight of an application in a first application list (including a first application list of a desktop screen or folder) in the flowchart of the method of FIG. 5;
fig. 7 is a schematic block diagram of a terminal according to a third embodiment of the present application;
fig. 8 is a schematic diagram of a classification correction system for application program according to a fourth embodiment of the application.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present application, and are not of specific significance per se. Thus, "module," "component," or "unit" may be used in combination.
The terminal may be implemented in various forms. For example, the terminals described in the present invention may include mobile terminals such as cell phones, tablet computers, notebook computers, palm computers, personal digital assistants (Personal Digital Assistant, PDA), portable media players (Portable Media Player, PMP), navigation devices, wearable devices, smart bracelets, pedometers, and fixed terminals such as digital TVs, desktop computers, and the like.
The following description will be given taking a mobile terminal as an example, and those skilled in the art will understand that the configuration according to the embodiment of the present invention can be applied to a fixed type terminal in addition to an element particularly used for a moving purpose.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention, the mobile terminal 100 may include: an RF (Radio Frequency) unit 101, a WiFi module 102, an audio output unit 103, an a/V (audio/video) input unit 104, a sensor 105, a display unit 106, a user input unit 107, an interface unit 108, a memory 109, a processor 110, and a power supply 111. Those skilled in the art will appreciate that the mobile terminal structure shown in fig. 1 is not limiting of the mobile terminal and that the mobile terminal may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
The following describes the components of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be used for receiving and transmitting signals during the information receiving or communication process, specifically, after receiving downlink information of the base station, processing the downlink information by the processor 110; and, the uplink data is transmitted to the base station. Typically, the radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication, global System for Mobile communications), GPRS (General Packet Radio Service ), CDMA2000 (Code Division Multiple Access, CDMA 2000), WCDMA (Wideband Code Division Multiple Access ), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, time Division synchronous code Division multiple Access), FDD-LTE (Frequency Division Duplexing-Long Term Evolution, frequency Division Duplex Long term evolution), and TDD-LTE (Time Division Duplexing-Long Term Evolution, time Division Duplex Long term evolution), etc.
WiFi belongs to a short-distance wireless transmission technology, and a mobile terminal can help a user to send and receive e-mails, browse web pages, access streaming media and the like through the WiFi module 102, so that wireless broadband Internet access is provided for the user. Although fig. 1 shows a WiFi module 102, it is understood that it does not belong to the necessary constitution of a mobile terminal, and can be omitted entirely as required within a range that does not change the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a talk mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the mobile terminal 100. The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive an audio or video signal. The a/V input unit 104 may include a graphics processor (Graphics Processing Unit, GPU) 1041 and a microphone 1042, the graphics processor 1041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 can receive sound (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, and the like, and can process such sound into audio data. The processed audio (voice) data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 101 in the case of a telephone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting the audio signal.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 1061 and/or the backlight when the mobile terminal 100 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for applications of recognizing the gesture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; as for other sensors such as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured in the mobile phone, the detailed description thereof will be omitted.
The display unit 106 is used to display information input by a user or information provided to the user. The display unit 106 may include a display panel 1061, and the display panel 1061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the mobile terminal. In particular, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 1071 or thereabout by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 110, and can receive and execute commands sent from the processor 110. Further, the touch panel 1071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 107 may include other input devices 1072 in addition to the touch panel 1071. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc., as specifically not limited herein.
Further, the touch panel 1071 may overlay the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or thereabout, the touch panel 1071 is transferred to the processor 110 to determine the type of touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of touch event. Although in fig. 1, the touch panel 1071 and the display panel 1061 are two independent components for implementing the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 may be integrated with the display panel 1061 to implement the input and output functions of the mobile terminal, which is not limited herein.
The interface unit 108 serves as an interface through which at least one external device can be connected with the mobile terminal 100. For example, the external devices may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and an external device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by running or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power source 111 (e.g., a battery) for supplying power to the respective components, and preferably, the power source 111 may be logically connected to the processor 110 through a power management system, so as to perform functions of managing charging, discharging, and power consumption management through the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described herein.
In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based will be described below.
Referring to fig. 2, fig. 2 is a schematic diagram of a communication network system according to an embodiment of the present invention, where the communication network system is an LTE system of a general mobile communication technology, and the LTE system includes a UE (User Equipment) 201, an e-UTRAN (Evolved UMTS Terrestrial Radio Access Network ) 202, an epc (Evolved Packet Core, evolved packet core) 203, and an IP service 204 of an operator that are sequentially connected in communication.
Specifically, the UE201 may be the terminal 100 described above, and will not be described herein.
The E-UTRAN202 includes eNodeB2021 and other eNodeB2022, etc. The eNodeB2021 may be connected with other eNodeB2022 by a backhaul (e.g., an X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide access from the UE201 to the EPC 203.
EPC203 may include MME (Mobility Management Entity ) 2031, hss (Home Subscriber Server, home subscriber server) 2032, other MMEs 2033, SGW (Serving Gate Way) 2034, pgw (PDN Gate Way) 2035 and PCRF (Policy and Charging Rules Function, policy and tariff function entity) 2036, and so on. The MME2031 is a control node that handles signaling between the UE201 and EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location registers (not shown) and to hold user specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034 and PGW2035 may provide IP address allocation and other functions for UE201, PCRF2036 is a policy and charging control policy decision point for traffic data flows and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
Although the LTE system is described above as an example, it should be understood by those skilled in the art that the present invention is not limited to LTE systems, but may be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the above mobile terminal hardware structure and the communication network system, various embodiments of the method of the present invention are provided.
The first embodiment of the application provides a classification correction method of an application program, which is suitable for a terminal. Referring to fig. 3, a flowchart of a classification correction method for an application program of the present embodiment includes:
and 305, sending the adjusted label weight of each application program to an application center server, and correcting the classification of each application program in the application center by the application center server according to the label weight.
In practical applications, most users can store downloaded application programs of the terminal in a classified manner, for example, store application programs (such as naughty, jindong, etc.) attached with shopping categories in a desktop screen or folder, store application programs (such as word, pdf, etc.) of working categories together, and correct tag information and classification of related application programs in an application center more accurately by analyzing classification behaviors of the users.
In one possible scenario, referring to fig. 4, step 301 includes:
In practical application, the desktop layout has related XML file definitions, such as: the desktop has several screens, where in each screen an icon of which application is placed, what folder is placed, and which applications are placed in the folder are well defined in the configuration file.
In practical applications, the terminal may monitor the desktop information, and when the desktop information changes (e.g., each application is newly downloaded or deleted), the process of classifying and correcting the application is performed once. Of course, a flow of performing classification correction of the application program once every preset time may be set.
In practical application, the process of classifying and correcting the application program once may be set so that the application center server initiates a corresponding request to the terminal every time the application center server receives the download request of the terminal.
In one possible embodiment, step 303 includes:
Extracting application programs with the largest proportion under classification from the first application list to form a second application list;
acquiring label information of each application program in the second application list;
calculating the confidence coefficient of matching the label information of each application program with the category with the largest proportion according to semantic analysis;
and selecting the application program with the highest confidence as the APP_best.
In one possible embodiment, step 305 includes:
acquiring a tag list of each application program except the APP_best in the first application list;
calculating the matching degree of the label in the label list and the label of the APP_best according to semantic analysis;
and adjusting the weight of the label in the label list according to the matching degree of each label in the label list and the APP_best label.
Specifically, the step of adjusting the weight of the tag of the other application program according to the matching degree of the tag of the other application program and the app_best tag includes:
the weights of the tags of the other applications are adjusted by the following formula:
weight′ i ＝weight i -δ i ；
wherein the weight is i ' is the adjusted weight of the ith tag in the tag list, weight i For the weight before adjustment of the ith tag in the tag list, n is the total number of tags in the tag list, delta i J=1, 2, … n, which is the matching degree of the tag of each ith application program and the app_best tag.
In one possible scenario, when the first application list is an application list in a folder, before performing step 302, the method further includes:
acquiring the folder name of the folder and the classification information of each application program of the first application list;
calculating the variance of the folder names and the classification information of each application program;
when the variance is less than a preset threshold, step 302 is performed.
In practical application, the classification information of each application program refers to classification class information of each application program in an application center, which can be obtained from the application center, and can be stored locally when the application is downloaded in the application center.
Specifically, the step of calculating the variance between the folder name and the classification of each application program includes:
acquiring a word vector foldername of the folder name;
obtaining the classified word vector AppClass of each application program i ；
The variance s is calculated by the following formula 2 ；
Wherein, the liquid crystal display device comprises a liquid crystal display device,
n is the number of word vectors of the classification, i=1, 2 … n.
In this possible scenario, when the classification variance is larger, it indicates that the application category in the folder is disordered, and at this time, the correction meaning of the information in the folder to the tag information is smaller, so the step 302 is continued only when the variance is smaller than the preset threshold.
According to the classification correction method for the application programs, firstly, classification duty ratios of the application programs in a first application list in the same desktop screen or the same folder are analyzed by a terminal, tag information of the application program with the highest confidence coefficient matched with the classification with the largest duty ratio is obtained, then the tag matching degree of the tag information and each application program in the first application list is calculated, the tag weight of each application program is adjusted according to the matching degree, and then the classification of each application program in the application center is corrected according to the adjusted tag weight of each application program by an application center server. By the method, the tag weight of the application program can be adjusted according to the classification of the application program downloaded by the user to the terminal, so that the classification of the application program of the application center is corrected, and the user can conveniently and quickly search for the application program to be downloaded.
On the basis of the foregoing embodiments, a second embodiment of the present application provides another classification correction method for an application program, which is applicable to a terminal. Referring to fig. 5, the method flow includes:
And step 504, the adjusted tag weight of each application program of the terminal is sent to an application center server, and the application center server corrects the classification of each application program in the application center according to the tag weight.
In practical application, when the application center server adjusts the classification in the application center according to the label weight adjusted by each application program, the following method is adopted for adjustment:
comparing labels of application programs according to the weight values, and reserving the label with the largest weight value;
and secondly, sorting the label weights of the application programs according to the sequence from large to small, and reserving the first n weights, wherein n is a preset value.
Referring to fig. 6, adjusting the tag weight of an application program in a first application list (including a first application list of a desktop screen or a folder) includes the following steps:
and 601, counting the classification information duty ratio of each application program in the first application list, and acquiring the classification with the largest duty ratio.
In practical application, the classification with the largest current first application list ratio is assumed to be shopping, the first application list is provided with application 1 panned and application 2 beauty groups, the panned labels are fashion and shopping, the beauty group labels are fashion and fashion life, obviously, the semantic matching confidence of fashion shopping and shopping is larger, and the semantic matching confidence of fashion life and shopping is smaller.
Specifically, if the first application list is an application list in a folder of a certain desktop screen, step 5022 is executed to continuously traverse other folders to adjust the tag weight of the application program therein; if the first application list is an application list of an application program in the folder that is asked for a certain desktop screen, step 501 is performed to continue traversing other desktop screens.
According to the classification correction method for the application programs, firstly, classification duty ratios of the application programs in a first application list in the same desktop screen or the same folder are analyzed by a terminal, tag information of the application program with the highest confidence coefficient matched with the classification with the largest duty ratio is obtained, then the tag matching degree of the tag information and each application program in the first application list is calculated, the tag weight of each application program is adjusted according to the matching degree, and then the classification of each application program in the application center is corrected according to the adjusted tag weight of each application program by an application center server. By the method, the tag weight of the application program can be adjusted according to the classification of the application program downloaded by the user to the terminal, so that the classification of the application program of the application center is corrected, and the user can conveniently and quickly search for the application program to be downloaded.
On the basis of the foregoing embodiments, a third embodiment of the present application provides a terminal. Referring to fig. 7, the terminal includes: a memory 701, a processor 702 and a computer program 703 stored on the memory and executable on the processor, the computer program 703, when executed by the processor 703, performing the method steps of:
Acquiring a first application list of each desktop screen or folder of the terminal, wherein the first application list comprises all application programs in the folder, or the first application list comprises all application programs which are not put in the folder in the desktop screen;
counting the classification information duty ratio of each application program in the first application list, and acquiring the classification with the largest duty ratio;
extracting an application program APP_best with highest matching confidence coefficient with the classification from the first application list;
adjusting the tag weight of each application program in the first application list according to the matching degree of the tag information of the APP_best and the tag information of each application program in the first application list;
and sending the adjusted label weight of each application program to an application center server, and correcting the classification of each application program in the application center by the application center server according to the label weight.
In a possible solution, the processor 702 is further configured to execute the computer program 703 when executing the step of obtaining the application app_best with highest confidence of the match with the classification from the first application list, to implement the following steps:
extracting application programs with the largest proportion under classification from the first application list to form a second application list;
Acquiring label information of each application program in the second application list;
calculating the confidence coefficient of matching the label information of each application program with the category with the largest proportion according to semantic analysis;
and selecting the application program with the highest confidence as the APP_best.
In a possible implementation, when performing the step of adjusting the tag weight of each application program in the first application list according to the matching degree of the tag information of the app_best and the tag information of the application program in the first application list, the processor 702 is further configured to execute the computer program 703 to implement the following steps:
acquiring a tag list of each application program except the APP_best in the first application list;
calculating the matching degree of the label in the label list and the label of the APP_best according to semantic analysis;
and adjusting the weight of the label in the label list according to the matching degree of each label in the label list and the APP_best label.
In a possible implementation, when performing the step of adjusting the weights of the tags in the tag list according to the matching degree of each tag in the tag list and the app_best tag, the processor 702 is further configured to execute the computer program 703 to implement the following steps:
The weight of the tag in the tag is adjusted by the following formula:
weight′ i ＝weight i -δ i ；
wherein the weight is i ' is the adjusted weight of the ith tag in the tag list, weight i For the weight before adjustment of the ith tag in the tag list, n is the total number of tags in the tag list, delta i J=1, 2, … n, which is the matching degree of the i-th tag and the app_best tag.
In a possible implementation, when the first application list is an application list in a folder, the processor 702 is further configured to execute the computer program 703 before executing the step of counting the classification information duty ratio of each application program in the first application list and obtaining the classification with the largest duty ratio, so as to implement the following steps:
acquiring the folder name of the folder and the classification information of each application program of the first application list;
calculating the variance of the folder names and the classification information of each application program;
and when the variance is smaller than a preset threshold, executing the step of counting the classification information duty ratio of each application program in the first application list and acquiring the classification with the largest duty ratio.
In one possible implementation, the processor 702 is further configured to execute the computer program 703 when performing the step of calculating the variance of the folder name and the classification of each application program to implement the steps of:
Acquiring a word vector foldername of the folder name;
obtaining the classified word vector AppClass of each application program i ；
The variance s is calculated by the following formula 2 ；
Wherein, the liquid crystal display device comprises a liquid crystal display device,
n is the number of word vectors of the classification, i=1, 2 … n.
In a possible scenario, the processor 702 is further configured to execute the computer program 703 when obtaining the first application list, to implement the following steps:
traversing each screen of the desktop, and judging whether folders are arranged in the screens;
if the folders exist, traversing each folder to obtain a first application list of each folder;
and if the folder does not exist, acquiring a first application list of each desktop screen.
The terminal of this embodiment first analyzes the classification duty ratio of the application programs in the first application list in the same desktop screen or the same folder of the terminal, obtains the tag information of the application program with the highest confidence coefficient matched with the classification with the largest duty ratio, then calculates the tag matching degree of the tag information and each application program in the first application list, adjusts the tag weight of each application program according to the matching degree, and then corrects the classification of each application program in the application center according to the adjusted tag weight of each application program by the application center server. By the method, the tag weight of the application program can be adjusted according to the classification of the application program downloaded by the user to the terminal, so that the classification of the application program of the application center is corrected, and the user can conveniently and quickly search for the application program to be downloaded.
On the basis of the foregoing embodiments, a fourth embodiment of the present application provides a classification correction system for application programs, referring to fig. 8, where the system includes a terminal 801 and an application center server 802 as described in the third embodiment, and the application center server 802 includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements correction of classification of each application program in an application center according to tag weights of the application programs adjusted by each terminal 801.
According to the classification correction system for the application programs, firstly, the terminal adjusts the tag weight of the application programs in the first application list in the same desktop screen or the same folder, and then the application center server corrects the classification of each application program in the application center according to the adjusted tag weight of each application program. By the method, the tag weight of the application program can be adjusted according to the classification of the application program downloaded by the user to the terminal, so that the classification of the application program of the application center is corrected, and the user can conveniently and quickly search for the application program to be downloaded.
On the basis of the foregoing embodiments, a fifth embodiment of the present application provides a storage medium having stored thereon a classification correction program of an application program, which when executed by a processor, implements the steps of the classification correction method of an application program as described in the first or second embodiment.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), including several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the protection of the claims, which fall within the protection of the present application.
Claims (9)
1. A classification correction method for application programs, which is applicable to a terminal, the method comprising:
acquiring a first application list of each desktop screen or folder of a terminal, wherein the first application list comprises all application programs in the folder, or the first application list comprises all application programs in the desktop screen which are not put in the folder;
counting the classification information duty ratio of each application program in the first application list, and acquiring the classification with the largest duty ratio;
extracting an application program APP_best with highest matching confidence with the classification from the first application list;
adjusting the tag weight of each application program in the first application list according to the matching degree of the tag information of the APP_best and the tag information of each application program in the first application list;
The adjusted label weight of each application program is sent to an application center server, and the application center server corrects the classification of each application program in the application center according to the label weight;
the obtaining the application program APP_best with highest confidence of matching with the category with the largest duty ratio from the first application list comprises the following steps:
extracting application programs with the largest duty ratio under the classification from the first application list to form a second application list;
acquiring label information of each application program in the second application list;
calculating the confidence coefficient of matching the label information of each application program with the classification with the largest duty ratio according to semantic analysis;
and selecting the application program with the highest confidence as the APP_best.
2. The method for classifying and correcting applications according to claim 1, wherein said adjusting the tag weight of each application in the first application list according to the matching degree of the tag information of the app_best and the tag information of the applications in the first application list comprises:
acquiring a tag list of each application program except the APP_best in the first application list;
Calculating the matching degree of the tag in the tag list and the tag of the APP_best according to semantic analysis;
and adjusting the weight of the label in the label list according to the matching degree of each label in the label list and the APP_best label.
3. The method for classifying and correcting an application program according to claim 2, wherein the adjusting the weight of the tag in the tag list according to the matching degree between each tag in the tag list and the app_best tag comprises:
adjusting the weight of the tags in the tag list by the following formula:
weight′ i ＝weight i -δ i ；
wherein the weight is i ' is the adjusted weight value of the ith tag in the tag list, weight i The weight value before adjustment of the ith label in the label list is n, the total number of the labels in the label list is delta i J=1, 2, … n, which is the matching degree of the i-th tag and the app_best tag.
4. The method for classifying and correcting applications according to claim 1, wherein when the first application list is an application list in a folder, the method further comprises, before counting the classification information of each application in the first application list and obtaining the classification with the largest occupation ratio:
Acquiring the folder name of the folder and the classification information of each application program of the first application list;
calculating the variance of the folder names and the classification information of each application program;
and when the variance is smaller than a preset threshold, executing the step of counting the classification information duty ratio of each application program in the first application list and acquiring the classification with the largest duty ratio.
5. The method of claim 4, wherein calculating the variance of the folder name and the classification of each application comprises:
acquiring a word vector foldername of the folder name;
obtaining classified word vector AppClass of each application program i ；
The variance s is calculated by the following formula 2 ；
Wherein, the liquid crystal display device comprises a liquid crystal display device,
n is the number of word vectors of the classification, i=1, 2 … n.
6. The method for classifying and correcting an application program according to claim 1, wherein the acquiring the first application list includes:
traversing each screen of the desktop, and judging whether folders are arranged in the screens;
if folders exist, traversing each folder, obtaining a first application list of each folder, and executing the method steps of any one of claims 1 to 5;
If no folder exists, a first application list of each desktop screen is obtained, and the method steps of any one of claims 1 to 4 are executed.
7. A terminal, the terminal comprising:
a memory, a processor, and a computer program stored on the memory and executable on the processor;
the computer program implementing the steps of the method according to any one of claims 1 to 6 when executed by the processor.
8. A classification correction system for an application program, the system comprising the terminal and the application center server according to claim 7;
the application center server comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and the computer program realizes that the classification of each application program in the application center is corrected according to the label weight of the application program after the adjustment of each terminal when the computer program is executed by the processor.
9. A storage medium, wherein a classification correction program of an application program is stored on the storage medium, which when executed by a processor, implements the steps of the classification correction method of an application program according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910356621.6A CN110069320B (en) | 2019-04-29 | 2019-04-29 | Classification correction method, terminal, system and storage medium for application program |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910356621.6A CN110069320B (en) | 2019-04-29 | 2019-04-29 | Classification correction method, terminal, system and storage medium for application program |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110069320A CN110069320A (en) | 2019-07-30 |
| CN110069320B true CN110069320B (en) | 2023-06-30 |
Family
ID=67369643
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910356621.6A Active CN110069320B (en) | 2019-04-29 | 2019-04-29 | Classification correction method, terminal, system and storage medium for application program |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110069320B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111258700B (en) * | 2020-01-22 | 2021-09-07 | 华为技术有限公司 | Icon management method and intelligent terminal |
| CN113779253B (en) * | 2021-09-10 | 2023-10-10 | 中国联合网络通信集团有限公司 | Language data processing method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102577237A (en) * | 2010-12-20 | 2012-07-11 | 华为技术有限公司 | Method for scheduling web hosting service, method for processing application access, apparatus and system thereof |
| CN103744849A (en) * | 2011-12-27 | 2014-04-23 | 北京奇虎科技有限公司 | Method and device for automatic recommendation application |
| CN106126210A (en) * | 2016-06-15 | 2016-11-16 | 维沃移动通信有限公司 | A kind of application icon display packing and mobile terminal |
| CN106599194A (en) * | 2016-12-14 | 2017-04-26 | 北京小米移动软件有限公司 | Label determining method and device |
| CN106874279A (en) * | 2015-12-11 | 2017-06-20 | 腾讯科技（深圳）有限公司 | Generate the method and device of applicating category label |
-
2019
- 2019-04-29 CN CN201910356621.6A patent/CN110069320B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102577237A (en) * | 2010-12-20 | 2012-07-11 | 华为技术有限公司 | Method for scheduling web hosting service, method for processing application access, apparatus and system thereof |
| CN103744849A (en) * | 2011-12-27 | 2014-04-23 | 北京奇虎科技有限公司 | Method and device for automatic recommendation application |
| CN106874279A (en) * | 2015-12-11 | 2017-06-20 | 腾讯科技（深圳）有限公司 | Generate the method and device of applicating category label |
| CN106126210A (en) * | 2016-06-15 | 2016-11-16 | 维沃移动通信有限公司 | A kind of application icon display packing and mobile terminal |
| CN106599194A (en) * | 2016-12-14 | 2017-04-26 | 北京小米移动软件有限公司 | Label determining method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110069320A (en) | 2019-07-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108391025B (en) | Network access management method, mobile terminal and computer readable storage medium | |
| CN108334539B (en) | Object recommendation method, mobile terminal and computer-readable storage medium | |
| CN109144705B (en) | Application management method, mobile terminal and computer readable storage medium | |
| CN109840444B (en) | Code scanning identification method, equipment and computer readable storage medium | |
| CN110189368B (en) | Image registration method, mobile terminal and computer readable storage medium | |
| CN108897846B (en) | Information searching method, apparatus and computer readable storage medium | |
| CN108600325B (en) | Push content determining method, server and computer readable storage medium | |
| CN114071627A (en) | Network switching method, intelligent terminal and storage medium | |
| CN110069320B (en) | Classification correction method, terminal, system and storage medium for application program | |
| CN109522276B (en) | Application icon management method, terminal and computer-readable storage medium | |
| CN108322611B (en) | Screen locking information pushing method and device and computer readable storage medium | |
| CN111970738B (en) | Network switching control method, device and computer readable storage medium | |
| CN113485899A (en) | Information processing method, terminal device and storage medium | |
| CN109948368B (en) | Privacy authority control method, device and computer readable storage medium | |
| CN109740121B (en) | Search method of mobile terminal, mobile terminal and storage medium | |
| CN112346824A (en) | Screen projection application control method and device and computer readable storage medium | |
| CN109388947B (en) | Background management method, device and computer readable storage medium | |
| CN109062688B (en) | Memory allocation method, server and mobile terminal | |
| CN108040330B (en) | WiFi directional transmission method, mobile terminal and readable storage medium | |
| CN107766544B (en) | Information management method, terminal and computer readable storage medium | |
| CN113099513B (en) | Base station selection method, electronic terminal and computer readable storage medium | |
| CN111476231B (en) | Image area identification method, device and computer readable storage medium | |
| CN110287381B (en) | Page control node searching method, terminal and computer readable storage medium | |
| CN114640739A (en) | Application pushing method, intelligent terminal and storage medium | |
| CN114119160A (en) | Application processing method, mobile terminal and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |