CN107391151B - Application evaluation method, device and computer-readable storage medium - Google Patents
Application evaluation method, device and computer-readable storage medium Download PDFInfo
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Abstract
The invention discloses an application evaluation method, application evaluation equipment and a computer-readable storage medium, wherein the method comprises the following steps: when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is opened; acquiring user comment scoring information collected by a comment area every preset time period; and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule. The technical problem that plug-ins or components needing to provide comments for each application app cause waste of manpower and material resources in the prior art is solved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an application evaluation method, device, and computer-readable storage medium.
Background
In the internet era, when a user uses an application app to be evaluated, the user usually reviews the app and scores the app so that other users can visually judge the app, however, in the prior art, plug-ins or components for providing comments for each application app are needed to enable the user to obtain corresponding comment scoring information, and each application app needs personnel to manage comments, which causes waste of manpower and material resources and reduces user experience.
Disclosure of Invention
The invention mainly aims to provide an application evaluation method, application evaluation equipment and a computer-readable storage medium, and aims to solve the technical problem that human and material resources are wasted due to plug-ins or components which need to provide comments for each application app in the prior art.
In order to achieve the above object, the present invention provides an application evaluation method, including:
when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is opened;
acquiring user comment scoring information collected by a comment area every preset time period;
and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Optionally, the step of calling the matched scoring rule, and based on the scoring rule, calculating and displaying the score of the application to be evaluated includes:
acquiring the type of an application market to which an application to be evaluated belongs, and calling a scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule;
and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Optionally, after the step of obtaining comment score information of the comment area user, the method includes:
acquiring a timestamp of the comment scoring information and acquiring the online time of the latest version of the application;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
Optionally, after the step of dividing the review scoring information after the online time into a first review area of the review area and dividing the review scoring information before the online time into a second review area of the review area, the method includes:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
Optionally, after the step of obtaining the comment score information of the comment area user, the method further includes:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
Optionally, the processing step of shielding the scoring information of the user comment with the sensitive word includes:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
Optionally, the scoring rules include a ratio rule of default score share and user score share in total score share, the total score share is the sum of default score share and user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
Optionally, after the step of calculating and displaying the score of the application to be evaluated, the method further includes:
and when the score of the application to be evaluated is detected to be lower than a preset value, displaying the comment score information of the comment area of the application to be evaluated in a striking manner.
Further, to achieve the above object, the present invention also proposes an application evaluation apparatus including: the evaluation device comprises a memory, a processor, a communication bus and an application scoring program to be evaluated, wherein the application scoring program to be evaluated is stored on the memory:
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is used for executing the application scoring program to be evaluated so as to realize the following steps:
when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is opened;
acquiring user comment scoring information collected by a comment area every preset time period;
and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Optionally, the step of calling the matched scoring rule, and based on the scoring rule, calculating and displaying the score of the application to be evaluated includes:
acquiring the type of an application market to which an application to be evaluated belongs, and calling a scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule;
and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Optionally, after the step of obtaining comment score information of the comment area user, the method includes:
acquiring a timestamp of the comment scoring information and acquiring the online time of the latest version of the application;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
Optionally, after the step of dividing the review scoring information after the online time into a first review area of the review area and dividing the review scoring information before the online time into a second review area of the review area, the method includes:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
Optionally, after the step of obtaining the comment score information of the comment area user, the method further includes:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
Optionally, the processing step of shielding the scoring information of the user comment with the sensitive word includes:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
Optionally, the scoring rules include a ratio rule of default score share and user score share in total score share, the total score share is the sum of default score share and user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors for:
when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is opened;
acquiring user comment scoring information collected by a comment area every preset time period;
and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Optionally, the step of calling the matched scoring rule, and based on the scoring rule, calculating and displaying the score of the application to be evaluated includes:
acquiring the type of an application market to which an application to be evaluated belongs, and calling a scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule;
and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Optionally, after the step of obtaining comment score information of the comment area user, the method includes:
acquiring a timestamp of the comment scoring information and acquiring the online time of the latest version of the application;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
Optionally, after the step of dividing the review scoring information after the online time into a first review area of the review area and dividing the review scoring information before the online time into a second review area of the review area, the method includes:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
Optionally, after the step of obtaining the comment score information of the comment area user, the method further includes:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
Optionally, the processing step of shielding the scoring information of the user comment with the sensitive word includes:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
Optionally, the scoring rules include a ratio rule of default score share and user score share in total score share, the total score share is the sum of default score share and user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
According to the application evaluation method, when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is set; acquiring user comment scoring information collected by a comment area every preset time period; and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule. According to the application evaluation method and device, the application scoring system to be evaluated is designed, when the application to be evaluated is accessed into the scoring system, the corresponding comment area is arranged on the application scoring system to achieve the purposes of obtaining and storing the user score and comment of the application to be evaluated, the matched scoring rule can be called to calculate and display the score of the application to be evaluated, and therefore the technical problem that plug-ins or components needing to provide comments for each application app cause waste of manpower and material resources is solved.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of an alternative mobile terminal for implementing various embodiments of the present invention;
FIG. 2 is a diagram illustrating a wireless communication system of the mobile terminal shown in FIG. 1;
FIG. 3 is a schematic flow chart of a first embodiment of an evaluation method according to the present invention;
FIG. 4 is a schematic flow chart of a second embodiment of the evaluation method of the present invention;
FIG. 5 is a schematic view of a scene after scoring an application display in the application evaluation method of the present invention;
FIG. 6 is a schematic flow chart of the application evaluation performed by the review grading system in the application evaluation method of the present invention;
FIG. 7 is a schematic view of a scenario of dividing a review area in the application evaluation method of the present invention;
fig. 8 is a schematic device structure diagram of a hardware operating environment according to a method of an embodiment of the present invention.
The objects, features and advantages of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can also be applied to a fixed type terminal, except for elements specifically used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, 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 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing 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 call 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 related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
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 that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for identifying applications to be evaluated (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration identification related functions (such as pedometer and tapping) and the like of the mobile phone attitude; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
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 (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 generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, 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 a touch operation by a user (e.g., an operation of the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory) thereon or nearby and drive a corresponding connected device according to a preset program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection equipment detects the touch direction 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 sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. 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, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (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 external devices 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 external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program to be evaluated (such as a sound playing function, an image playing function, etc.) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage 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 operating 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 a terminal upper processor, which mainly handles an operating system, a user interface, an application to be evaluated, and the like, and a modem processor, which mainly handles wireless communication. 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 supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via 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 in detail 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 is described below.
Referring to fig. 2, fig. 2 is an architecture 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 universal mobile telecommunications 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) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the hardware structure of the mobile terminal and the structure of the communication equipment, the invention provides various embodiments of the application evaluation method.
In a first embodiment of an application evaluation method, referring to fig. 3, the application evaluation method includes:
step S10, when detecting an access instruction of the application to be evaluated, opening a comment area corresponding to the application to be evaluated;
in the application, an application comment module, an application comment device or an application comment system is designed, the application comment module, the application comment device or the application comment system is independent of the application to be evaluated, and when the application or the application system needs to be accessed to a comment grading function, the application or the application system can be accessed through interface calling, so that the comment grading calculation is realized.
The following description will be given taking an application review system as an example.
When an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is set up, wherein the application to be evaluated can be accessed by batches of applications to be evaluated or by a single application to be evaluated, as shown in fig. 6, a comment scoring system is an example of the comment system, when the application to be evaluated is accessed by a single application to be evaluated, an application to be evaluated calling interface can be triggered to access the application scoring system to be evaluated in a manual touch or click mode, and when the application to be evaluated is accessed by batches of applications to be evaluated, each application to be evaluated in an application market can be triggered to access the application scoring system to be evaluated in a triggering mode corresponding to the application market.
And setting a comment area corresponding to the application to be evaluated, and when the single application to be evaluated is accessed into the application scoring system to be evaluated, setting a comment area for the single application to be evaluated, wherein the comment area also comprises an old version comment area and a new version comment area of the application to be evaluated, when a batch of applications to be evaluated are accessed into the application scoring system to be evaluated, setting the comment area for the batch of applications to be evaluated, and in addition, when the batch of applications to be evaluated are accessed into the application scoring system to be evaluated, setting a sub-comment area in the comment area, wherein the sub-comment area respectively stores comments of different applications to be evaluated.
The specific embodiment is used for explaining, a comment area a is set in an application scoring system to be evaluated and used for acquiring and storing applications to be evaluated in an application market a, meanwhile, in the comment area a, sub-comment areas a1, a2, A3, a4 and the like are set, comments of applications to be evaluated in the application market a are respectively stored and scored on the applications to be evaluated based on the comments of the applications to be evaluated in the application market a, and it is to be noted that the application scoring system to be evaluated can be connected to a plurality of batches of applications to be evaluated in a plurality of application markets, and can acquire and store the comments of the applications to be evaluated in batches in the application markets in an orderly and respectively score corresponding applications to be evaluated based on the comments of the applications to be evaluated in batches in the application markets.
The specific embodiment is used for explaining, the to-be-evaluated application scoring system can be connected to each to-be-evaluated application in the application market a, and connected to each to-be-evaluated application in the application market b, and each to-be-evaluated application in the application market c, and the to-be-evaluated application scoring system is respectively used for each to-be-evaluated application in the application market a, and connected to each to-be-evaluated application in the application market b, and each to-be-evaluated application in the application market c is provided with different scoring areas, so that scoring of the to-be-evaluated applications in different application markets is achieved based on comment scoring information of users in the different scoring areas.
Step S20, acquiring user comment scoring information collected by the comment area at intervals of a preset time period;
the comment scoring information of the users in the comment area is acquired every preset time period, the comment scoring information comprises comment information and scoring information of the users, in addition, the comment information also comprises comment time information of the users, and it needs to be stated that when the comment information of the users is acquired, only the latest comment can be provided or displayed for other users for the comment of one user.
In the application, after the scoring information of the users in the comment area is obtained, scoring evaluation is carried out on the application to be evaluated based on the scoring information, when the situation that the users comment and score the application to be evaluated in the same time period is detected, before the applications to be evaluated are scored based on the scoring information, the effectiveness judgment needs to be carried out on the scoring of the users in the comment area, the effectiveness judgment is based on the comment information of the users, and when the comment information of the users is illegal comment, the scoring information of the users is invalid.
And step S30, based on the comment scoring information, calling a matched scoring rule, and based on the scoring rule, calculating and displaying the score of the application to be evaluated.
Referring to fig. 4, the step of calling the matched scoring rule, calculating the score of the application to be evaluated based on the scoring rule, and displaying the score includes:
step S31, obtaining the type of the application market of the application to be evaluated, and calling the scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule;
and step S32, calculating and displaying the score of the application to be evaluated based on the scoring rule.
Based on the comment scoring information, a matched scoring rule is called, wherein the scoring rule can be set based on types of different application markets in a comment system, namely the scoring rules of the different application markets are different and are used for explaining specific embodiments, the scoring rules of an application market a, an application market b, an application market c and the like can be different, but the scoring rules are the same for each application to be evaluated in the same application market, so that for a user, the scoring rules are the same for each application to be evaluated in the same application market, the state of the app can be visually judged and understood, and the application to be evaluated with high score can be selected.
Based on the comment scoring information, the specific process of calling the matched scoring rule may be: the method comprises the steps of obtaining comment scoring information of a user in a preset time period of an application to be evaluated, obtaining the type of an application market to which the application to be evaluated belongs, obtaining a scoring rule matched with the corresponding application to be evaluated from a mapping relation storage area of the type of each application market of a comment system and the scoring rule based on the mapping relation between the type of the application market to which the application to be evaluated belongs and the scoring rule, calculating and displaying a score of the application to be evaluated based on the scoring rule, and displaying a result as shown in fig. 5.
It should be noted that, the scoring rule may also be to obtain the least and most scoring information in the application, and when performing the scoring of the statistical accounting application, the least and most scoring information needs to be removed, so as to make the scoring more objective.
According to the application evaluation method, when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is set; acquiring user comment scoring information collected by a comment area every preset time period; and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule. According to the application evaluation method and device, the application scoring system to be evaluated is designed, when the application to be evaluated is accessed into the scoring system, the corresponding comment area is arranged on the application scoring system to achieve the purposes of obtaining and storing the user score and comment of the application to be evaluated, the matched scoring rule can be called to calculate and display the score of the application to be evaluated, and therefore the technical problem that plug-ins or components needing to provide comments for each application app cause waste of manpower and material resources is solved.
Further, on the basis of the first embodiment of the application evaluation method of the present invention, a second embodiment of the application evaluation method is provided, and in the second embodiment, the step of obtaining the comment score information of the comment area user includes:
acquiring a timestamp of the comment scoring information and acquiring the online time of the latest version of the application;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
The method for dividing the comment scoring information after the online time into a first comment area of the comment area and dividing the comment scoring information before the online time into a second comment area of the comment area comprises the following steps:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
The method comprises the steps of obtaining a time stamp of the comment scoring information, dividing the comment area into a first comment area and a second comment area based on the time stamp, and referring to fig. 7.
The method comprises the steps of selecting preset comment scoring information with interaction times ranging from high to low from a first comment area, setting a first highlight comment area based on the selected preset comment scoring information, selecting preset comment scoring information with interaction times ranging from high to low from a second comment area, setting a second highlight comment area based on the selected preset comment scoring information, particularly, the preset number and display sequence of highlight comments can be controlled through an operation background for describing a specific embodiment, the highlight comments can be arranged from high to low according to the interaction times of users and other users, wherein the interaction times can be the sum of the numbers of the other users such as the praise number, the comment number and the forwarding number, and the number of the other users is calculated to obtain the interaction times based on the praise number, the comment number and the forwarding number of the other users, and then the wonderful comments of the wonderful comment area are sequentially displayed.
In the embodiment, the online time of the latest version of the application is acquired by acquiring the timestamp of the comment scoring information; and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time. Selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively; and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number. And furthermore, through application evaluation, the accuracy of evaluating the application by the user is improved, and the user can judge and know the performance state of the app more conveniently and intuitively.
Further, on the basis of the first embodiment of the application evaluation method of the present invention, in a third embodiment of the application evaluation method, after the step of obtaining review score information of the review area user, the method further includes:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
Traversing and matching the comments of the user with preset sensitive words, shielding and filtering the user comment scoring information with the sensitive words when the sensitive words are detected in the comments of the user, and explaining the method in a specific embodiment.
Namely, the step of processing the shielding of the scoring information of the user comment with the sensitive word comprises the following steps:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
In the embodiment, the comments of the user are matched with the preset sensitive words in a traversing manner; and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words. In the embodiment, the sensitive words are filtered in the comment area, so that the performance state of the app can be judged and known more accurately, and the user experience is improved.
Further, on the basis of the first embodiment of the application evaluation method of the present invention, a fourth embodiment of the application evaluation method is provided, in which the scoring rules include a ratio rule of a default score share and a user score share in a total score share, the total score share is a sum of the default score share and the user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
For illustration purposes, the scoring rules may be: (default score 50+ sum of user scoring stars)/(50 + scoring number), for example, a game is uploaded, the default score is 5 stars, 3 people score 1 star 2 and people score 2 stars, then the current score is (5 x 50+7)/(50+5) ═ 4.7, the parameter 50 can be configured and adjusted according to different application markets, and is common to all access applications, and the default score is a setting parameter of all access application markets.
In the embodiment, all user scores and a first proportion of the user scores in the total score share are obtained, and a second proportion of the default scores in the total score share is obtained; and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio. According to the application evaluation method and system, the application evaluation system can score different applications in the same application market based on the same standard, and further visually judge and know the performance state of the apps.
Further, on the basis of the first embodiment of the application evaluation method of the present invention, a fifth embodiment of the application evaluation method is provided, and in the fifth embodiment, after the step of calculating and displaying the score of the application to be evaluated, the method further includes:
and when the score of the application to be evaluated is detected to be lower than a preset value, displaying the comment score information of the comment area of the application to be evaluated in a striking manner.
When the score of the application to be evaluated is lower than a preset value, displaying the comment score information of the application comment area to be evaluated in a striking mode to remind a user, wherein the striking mode can be selected as follows: the comment scoring information is displayed in a striking color, such as red, blue and the like, and in addition, the comment scoring information can be displayed in a suspension mode,
in the embodiment, when the score of the application to be evaluated is detected to be lower than the preset value, the comment score information of the comment area of the application to be evaluated is displayed in a striking manner. Therefore, the user can visually judge and know the abnormal state of the app, and the user experience is improved.
As shown in fig. 8, fig. 8 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The application evaluation equipment of the embodiment of the invention can be a PC, and can also be a mobile terminal equipment with a display function, such as a smart phone, a tablet computer, an electronic book reader, an MP3(Moving Picture Experts Group Audio Layer III, dynamic video Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, dynamic video Experts compression standard Audio Layer 4) player, a portable computer and the like.
As shown in fig. 8, the application evaluation apparatus may include: a processor 110, such as a CPU, a memory 109, and a communication bus 1002. Wherein the communication bus 1002 is used for implementing connection communication between the processor 110 and the memory 109. The memory 109 may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). The memory 109 may alternatively be a storage device separate from the processor 110 described previously.
Optionally, the application evaluation device may further include a camera, an RF (Radio Frequency) unit 101, a sensor 105, an audio circuit, a WiFi module 102, and the like. Among other things, sensors 105 such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for identifying applications to be evaluated (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration identification related functions (such as pedometer and tapping) and the like of the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the application evaluation device configuration shown in fig. 8 does not constitute a limitation of the application evaluation device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 8, the memory 109, which is a kind of computer storage medium, may include therein an operating system, a network communication module, and an application scoring program to be evaluated. The operating system is a program that manages and controls the application evaluation device hardware and software resources, supporting the running of the application scoring program to be evaluated, as well as other software and/or programs. The network communication module is used for realizing communication among the components in the memory 109 and communication with other hardware and software in the application evaluation device.
In the application evaluation device shown in fig. 8, the application to be evaluated scoring program can be applied to the server, and the processor 110 is configured to execute the application to be evaluated scoring program stored in the memory 109, and implement the following steps:
when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is opened;
acquiring user comment scoring information collected by a comment area every preset time period;
and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Further, the step of calling the matched scoring rule, calculating the score of the application to be evaluated based on the scoring rule and displaying the score comprises the following steps:
acquiring the type of an application market to which an application to be evaluated belongs, and calling a scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule;
and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Further, after the step of obtaining the comment score information of the users in the comment area, the method comprises the following steps:
acquiring a timestamp of the comment scoring information and acquiring the online time of the latest version of the application;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
Further, after the step of dividing the comment scoring information after the online time into a first comment area of the comment area and dividing the comment scoring information before the online time into a second comment area of the comment area, the method includes:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
Further, after the step of obtaining the comment score information of the users in the comment area, the method further comprises the following steps:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
Further, the step of shielding the scoring information of the user comment with the sensitive word comprises the following steps:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
Further, the scoring rules comprise a ratio rule of default score shares and user score shares in total score shares, wherein the total score share is the sum of the default score share and the user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
Further, after the step of calculating and displaying the score of the application to be evaluated, the method further comprises the following steps:
and when the score of the application to be evaluated is detected to be lower than a preset value, displaying the comment score information of the comment area of the application to be evaluated in a striking manner.
The specific implementation of the application evaluation device of the present invention is basically the same as that of the above-mentioned application evaluation method, and is not described herein again.
The present invention provides a computer readable storage medium storing one or more programs, the one or more programs further executable by one or more processors for:
when an access instruction of an application to be evaluated is detected, a comment area corresponding to the application to be evaluated is opened;
acquiring user comment scoring information collected by a comment area every preset time period;
and calling a matched scoring rule based on the comment scoring information, and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Further, the step of calling the matched scoring rule, calculating the score of the application to be evaluated based on the scoring rule and displaying the score comprises the following steps:
acquiring the type of an application market to which an application to be evaluated belongs, and calling a scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule;
and calculating and displaying the score of the application to be evaluated based on the scoring rule.
Further, after the step of obtaining the comment score information of the users in the comment area, the method comprises the following steps:
acquiring a timestamp of the comment scoring information and acquiring the online time of the latest version of the application;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
Further, after the step of dividing the comment scoring information after the online time into a first comment area of the comment area and dividing the comment scoring information before the online time into a second comment area of the comment area, the method includes:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
Further, after the step of obtaining the comment score information of the users in the comment area, the method further comprises the following steps:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
Further, the step of shielding the scoring information of the user comment with the sensitive word comprises the following steps:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
Further, the scoring rules comprise a ratio rule of default score shares and user score shares in total score shares, wherein the total score share is the sum of the default score share and the user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
Further, after the step of calculating and displaying the score of the application to be evaluated, the method further comprises the following steps:
and when the score of the application to be evaluated is detected to be lower than a preset value, displaying the comment score information of the comment area of the application to be evaluated in a striking manner.
The specific implementation of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the application evaluation method described above, and is not described herein again.
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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. An application evaluation method, characterized by comprising:
when an application access instruction to be evaluated is detected, an evaluation area corresponding to the application to be evaluated is set, wherein the application access to be evaluated comprises batch application access to be evaluated, and when the application to be evaluated needs to access a comment scoring function, a scoring system of the application to be evaluated can be accessed through interface calling, so that scoring calculation of the application comment to be evaluated is realized;
acquiring user comment scoring information collected by a comment area every preset time period;
the method comprises the steps of obtaining the type of an application market to which an application to be evaluated belongs, calling a scoring rule from a preset scoring rule area based on the mapping relation between the type of the application market and the scoring rule, and calculating and displaying the score of the application to be evaluated based on the scoring rule.
2. The application evaluation method of claim 1, wherein the step of obtaining review score information of the user collected in the review area comprises, after:
acquiring a timestamp of the comment scoring information, and acquiring the online time of the latest version of the application to be evaluated;
and dividing the comment scoring information after the online time into a first comment area of the comment areas and dividing the comment scoring information before the online time into a second comment area of the comment areas based on the timestamp of the comment scoring information by taking the online time as the dividing time.
3. The application evaluation method of claim 2, wherein after the step of dividing the review score information after the time-on-line into a first review zone of the review zones and dividing the review score information before the time-on-line into a second review zone of the review zones, the method comprises:
selecting the comment scoring information with preset number of interaction times arranged from high to low from the first comment area and the second comment area respectively;
and respectively setting a highlight comment area in the first comment area and the second comment area based on the selected comment scoring information with the preset number.
4. The application evaluation method of claim 1, wherein the step of obtaining review score information of the user collected in the review area further comprises:
traversing and matching the comments of the user with preset sensitive words;
and when the sensitive words are detected in the comments of the user, shielding and filtering the grading information of the comments of the user with the sensitive words.
5. The application evaluation method of claim 4, wherein the processing step of shielding the scoring information of the user comments with the sensitive words comprises:
and setting the comment scoring information of the user to be visible only for the user, and shielding the filtering process for other users.
6. The application evaluation method of claim 1, wherein the scoring rules include a ratio rule of a default score share to a user score share in a total score share, the total score share being a sum of the default score share and the user score share,
the step of calculating and displaying the score of the application to be evaluated based on the scoring rule comprises the following steps:
acquiring all user scores and a first proportion of the user scores in the total score share, and acquiring a second proportion of default scores in the total score share;
and calculating and displaying the score of the application to be evaluated based on the user score, the first ratio, the default score and the second ratio.
7. The application rating method of any of claims 1 to 6, wherein the calculating and displaying a rating for the application to be rated further comprises, after the step of:
and when the score of the application to be evaluated is detected to be lower than a preset value, displaying the comment score information of the comment area of the application to be evaluated in a striking manner.
8. An application evaluation apparatus characterized by comprising: the evaluation device comprises a memory, a processor, a communication bus and an application scoring program to be evaluated, wherein the application scoring program to be evaluated is stored on the memory:
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute the application scoring program to be evaluated to implement the steps of the application evaluation method according to any one of claims 1 to 7.
9. A computer-readable storage medium, having stored thereon an application-to-be-evaluated scoring program which, when executed by a processor, implements the steps of the application evaluation method of any one of claims 1-7.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103294450A (en) * | 2012-02-22 | 2013-09-11 | 腾讯科技（深圳）有限公司 | Application release method and system |
| CN105809451A (en) * | 2016-02-29 | 2016-07-27 | 江苏大学 | Big data based e-commerce company evaluating, analyzing and predicting method and system for online shopping |
| CN105988800A (en) * | 2015-02-12 | 2016-10-05 | 广东欧珀移动通信有限公司 | Software scoring push method and terminal |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098809B (en) * | 2011-02-15 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | APE implementation method, terminal |
| CN103455938B (en) * | 2013-09-03 | 2016-07-20 | 小米科技有限责任公司 | A kind of data processing method, device and server apparatus |
| US20150178341A1 (en) * | 2013-12-20 | 2015-06-25 | Google Inc. | Application evaluation |
| CN104679587A (en) * | 2015-02-13 | 2015-06-03 | 小米科技有限责任公司 | Comment interface display method and device |
| CN106055555A (en) * | 2016-04-29 | 2016-10-26 | 乐视控股（北京）有限公司 | Method and system for making comments |
| CN106055214B (en) * | 2016-05-20 | 2019-05-31 | 努比亚技术有限公司 | The evaluation processing method and processing device of application software |
| CN106055230B (en) * | 2016-05-25 | 2019-08-27 | 努比亚技术有限公司 | Applicating evaluating device, mobile terminal and method |
| CN106649549A (en) * | 2016-10-31 | 2017-05-10 | 北京奇虎科技有限公司 | Ordering method and device for terminal application APP |
-
2017
- 2017-07-28 CN CN201710637335.8A patent/CN107391151B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103294450A (en) * | 2012-02-22 | 2013-09-11 | 腾讯科技（深圳）有限公司 | Application release method and system |
| CN105988800A (en) * | 2015-02-12 | 2016-10-05 | 广东欧珀移动通信有限公司 | Software scoring push method and terminal |
| CN105809451A (en) * | 2016-02-29 | 2016-07-27 | 江苏大学 | Big data based e-commerce company evaluating, analyzing and predicting method and system for online shopping |
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