CN113741930A - Application upgrading method and device, electronic equipment and computer readable storage medium - Google Patents
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Abstract
The embodiment of the application discloses an application upgrading method, an application upgrading device, electronic equipment and a computer readable storage medium, and the application upgrading method comprises the following steps: obtaining reference scoring data of at least one application to be upgraded, wherein the reference scoring data comprises scoring data of the upgraded application on at least one evaluation dimension by a reference user; collecting historical scoring records of a user for at least one reference application; extracting historical scoring data on at least one evaluation dimension from the historical scoring record; determining a target application preferred by the user from at least one application to be upgraded according to historical scoring data and reference scoring data; sending upgrading data of the target application to terminal equipment of a user so that the terminal equipment upgrades the target application according to the upgrading data; by acquiring and referring the scoring data of at least one evaluation dimension, the accuracy of the selection of the application to be upgraded is improved, the user experience is improved, and the risk of application complaints is reduced.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an application upgrade method and apparatus, an electronic device, and a computer-readable storage medium.
Background
With the rapid development of computer technology, the types of applications on the terminal device are more and more, and each application is continuously updated and iterated to continuously generate new functions, so that the applications on the terminal device need to be updated;
however, due to different degrees of acceptance of new functions by users, upgrading of some application functions may cause negative feedback of users, for example, user complaints, low-score scores, and the like are generated, and therefore, if each application is upgraded by users, part of applications are easy to cause a problem of poor user experience after upgrading, and even influence on the public praise of brands.
Disclosure of Invention
The embodiment of the application upgrading method and device, the electronic equipment and the computer readable storage medium can improve the accuracy of selection of the application to be upgraded.
The embodiment of the application provides an application upgrading method, which comprises the following steps:
obtaining reference scoring data of at least one application to be upgraded, wherein the reference scoring data comprises scoring data of the upgraded application on at least one evaluation dimension by a reference user;
collecting historical scoring records of a user for at least one reference application;
extracting historical scoring data on the at least one evaluation dimension from the historical scoring record;
determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data;
and sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
Correspondingly, an embodiment of the present application further provides an application upgrading apparatus, including:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring reference scoring data of at least one application to be upgraded after the application is upgraded, and the reference scoring data comprises scoring data of the application to be upgraded on at least one evaluation dimension by a reference user;
the acquisition module is used for acquiring historical scoring records of a user aiming at least one reference application;
an extraction module, configured to extract historical scoring data on the at least one evaluation dimension from the historical scoring record;
the determining module is used for determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data;
and the pushing module is used for sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
Optionally, in some embodiments of the present application, the determining module includes:
a first determining unit, configured to determine, according to the historical scoring data, a dimension attention level of the user for each evaluation dimension;
and the second determining unit is used for determining a target application preferred by the user from the at least one application to be upgraded according to the dimension attention level and the reference scoring data.
Optionally, in some embodiments of the present application, the second determining unit includes:
the first determining subunit is used for determining at least one target evaluation dimension concerned by the user according to the dimension attention level;
the first acquisition subunit is used for respectively acquiring dimension reference scoring data of each target evaluation dimension from the reference scoring data;
and a second determining subunit, configured to determine, for each target evaluation dimension, when the dimension reference scoring data is greater than or equal to a preset scoring threshold, an upgraded application corresponding to the dimension reference scoring data as a target application preferred by the user.
Optionally, in some embodiments of the present application, the first determining unit includes:
the third determining subunit is used for determining the complaint probability of the user in each evaluation dimension according to the grading data of the user in each evaluation dimension;
the fourth determining subunit is used for determining the dimension attention level of the user in each evaluation dimension according to the complaint probability;
based on the third determining subunit and the fourth determining subunit, the first determining subunit is specifically configured to:
the method comprises the steps of determining the complaint probability of the user in each evaluation dimension according to the dimension attention level;
and when the complaint probability is greater than or equal to a preset probability threshold, determining the evaluation dimension corresponding to the complaint probability as a target evaluation dimension.
Optionally, in some embodiments of the present application, the first determining unit further includes:
the first obtaining subunit is used for obtaining the complaint number of the complaint evaluation of the user in each evaluation dimension from the historical scoring data;
a fifth determining subunit, configured to determine, according to the complaint number, a complaint risk value for each of the evaluation dimensions;
and the sixth determining subunit is used for determining the dimension attention level of the user in each evaluation dimension according to the complaint risk value.
Optionally, in some embodiments of the present application, the sixth determining subunit is specifically configured to:
the method comprises the steps of determining a dimension attention grade corresponding to each complaint risk value and a complaint quantity interval corresponding to each complaint risk value according to each evaluation dimension;
and after the complaint quantity of the evaluation dimension reaches any one of the complaint quantity intervals, determining the dimension attention level corresponding to any one of the complaint quantity intervals as the dimension attention level of the user for the evaluation dimension.
Optionally, in some embodiments of the present application, the determining module includes:
and a third determining unit, configured to, for each evaluation dimension, determine, when all the score data in the reference score data is greater than the score data in the historical score data, an upgraded application corresponding to the reference score data as a target application preferred by the user.
According to the method and the device, the target application to be upgraded preferred by the user is determined according to the reference scoring data of the application to be upgraded and the historical scoring data of the user on the reference application, so that the obtained target application can be accepted by the user or better meets the requirements of the user after being updated, and the accuracy of selecting the application to be upgraded is improved by obtaining and referring the scoring data of at least one evaluation dimension.
Drawings
In order to more clearly illustrate the technical solutions in the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a scenario of an application upgrade method provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of an application upgrade method provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an application upgrading apparatus provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings in the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application upgrading method and device, electronic equipment and computer readable storage medium. Specifically, the application upgrading method provided by the embodiment of the application can be executed by an electronic device, wherein the electronic device includes a terminal device or a server; the terminal equipment can be a television, a mobile phone, a notebook, a desktop or a tablet computer and the like; the server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like, and the servers may be directly or indirectly connected by a wired or wireless communication method.
Specifically, in the embodiment of the present application, taking the method for jointly executing the application upgrade by the terminal device and the server as an example, and respectively executing the application upgrade scheme at the terminal device or the server may be understood by taking the method for jointly executing the application upgrade by the terminal device and the server as an example, where please refer to fig. 1, a specific process of jointly executing the application upgrade method by the terminal device and the server is as follows:
the method comprises the steps that the terminal device A sends application information of at least one application to be upgraded to a server B, the server B obtains rating data of at least one evaluation dimension after the application is upgraded after obtaining the application information of the terminal device A, reference rating data corresponding to each application are respectively formed, then the server B collects historical rating records of a user holding the terminal device A aiming at the at least one reference application, the historical rating records are divided and extracted according to the at least one evaluation dimension, historical rating data of the user are obtained, then the server B determines the application after the upgrade preferred by the user according to the reference rating data and the historical rating data, the application to be upgraded (target application) preferred by the user is determined according to the application after the upgrade preferred by the user, and then the upgrading data corresponding to the target application are sent to the terminal device A, and prompting the terminal equipment A to carry out application upgrading.
The application to be upgraded can include the application of silent upgrade, wherein for the application of silent upgrade, after the terminal device a receives the upgrade data, the upgrade application can automatically complete upgrade according to the set value of the timed upgrade without disturbing the user (without displaying an upgrade program interface).
For the silent upgrade application, since the user is not aware or hardly aware of the application in the upgrade process, after the silent upgrade is performed on the relevant application in the terminal device a of the user, when some new versions or new functions which the user does not want to use exist, complaints of the user on the new functions or the new versions are easily generated, user experience is reduced, and even public praise of brands corresponding to the applications is affected.
Therefore, in the embodiment of the application, based on the application of the silent upgrade class, the application preferred by the user can be screened out through the application upgrade method, and the silent upgrade is performed on the screened application preferred by the user, so that complaints of the user on a new version or a new function can be effectively reduced, and the application is easy to accept by the user.
According to the method and the device, the target application to be upgraded preferred by the user is determined according to the reference scoring data of the application to be upgraded and the historical scoring data of the user on the reference application, so that the obtained target application can be accepted by the user or better meets the requirements of the user after being updated, and the accuracy of selecting the application to be upgraded is improved by obtaining and referring the scoring data of at least one evaluation dimension.
The following are detailed below. It should be noted that the description sequence of the following embodiments is not intended to limit the priority sequence of the embodiments.
Referring to fig. 2, fig. 2 is a schematic flowchart of an application upgrade method according to an embodiment of the present application. The specific process of the application upgrading method can be as follows:
101. and acquiring reference scoring data of at least one application to be upgraded, wherein the reference scoring data comprises scoring data of the upgraded application on at least one evaluation dimension by a reference user.
The reference user may be an internal test user of the application upgrade or a common public user who has completed the corresponding application upgrade update, wherein the rating data of the reference user for the upgraded application may indicate the overall satisfaction condition of most users for the upgraded application.
The evaluation dimensions can include the operation fluency, the use simplicity degree, the interface aesthetic degree or the functionality of the application, the reference score data are more specific and more pertinent by acquiring the score data of the application from the evaluation dimensions, and the performance conditions of various aspects of the upgraded application, such as the operation fluency, the simplicity and easiness of operation, the interface aesthetic degree or the functionality and the like, can be acquired through the score data of each evaluation dimension.
In the embodiment of the present application, as shown in table 1, the score data of each evaluation dimension of the upgraded application (application A, B or C) includes 5 gradients, for example, score data 1-5, where a higher score indicates better performance of the corresponding evaluation dimension, for example, a score of 5 is smoother to operate than a score of 3 in terms of smoothness of operation. In order to ensure the accuracy and the effectiveness of the data, average scoring data corresponding to each evaluation dimension can be obtained in an average value mode.
| Degree of smoothness of operation | Degree of ease of use | Beauty of interface | Functionality | |
| Applications A | 5 | 5 | 2 | 3 |
| Application B | 3 | 1 | 5 | 5 |
| Applications C | 5 | 4 | 4 | 4 |
TABLE 1
By acquiring the rating data of the evaluation dimensions, the rating conditions of the user on the upgraded application at multiple angles can be acquired, so that the performance data of the application can be comprehensively known, and the recommendation of the application to be upgraded to the user for a certain evaluation dimension is facilitated.
102. Historical scoring records of the user for the at least one reference application are collected.
The reference application includes other applications in the user terminal device, or applications belonging to the same type as the application to be upgraded, for example, all applications belonging to game and sports, or all applications belonging to answer, or all applications belonging to movie and television.
The historical score record of the reference application indicates the user's expectation of the application, for example, if the user evaluates the fluency of the application more, or the score in terms of fluency is often lower, it indicates that the user has a higher requirement on the fluency of the application.
By acquiring the grading data of the applications of the same type, the expected satisfaction degree of the user on the current application to be upgraded can be acquired more accurately, and the accuracy of the subsequent target application selection is improved.
103. Historical scoring data is extracted from the historical scoring record over the at least one evaluation dimension.
The historical scoring data of each evaluation dimension is acquired, so that the recommendation of the application to be upgraded can be conveniently carried out on the scoring data of each evaluation dimension in the follow-up process.
In the embodiment of the application, the extraction of the scoring data in each evaluation dimension may be performed by manually determining the scoring data in each evaluation dimension, or may be performed by recognizing and extracting the review data according to a character recognition algorithm or an image recognition algorithm, and the scoring data of the review data is determined by a machine learning method or an emotion analysis algorithm, where a specific method is not limited herein.
For the score data of each evaluation dimension, the score data of the user for each evaluation dimension may be obtained in an average manner (for example, for each evaluation dimension, the average value of a plurality of score data in the historical score record is used as the final score data of the evaluation dimension), and the score data of each evaluation dimension is used as the basic requirement value of the user for each evaluation dimension, that is, for each evaluation dimension, when the score data is greater than the basic requirement value, it is considered that the user can accept the current upgrade of the current application, and the accuracy of recommendation of the application to be upgraded is improved.
104. And determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data.
The historical scoring data shows the expectation requirements of the user on each evaluation dimension of the application, the reference scoring data shows the comprehensive objective performance data of the target application in each evaluation dimension, whether the application meets the expectation of the user is determined according to the objective performance data of the application and the expectation requirements of the user, whether the application is the preference application of the user is determined, and therefore the target application is selected.
According to the historical grading data and the reference grading data, the application preferred by the user can be determined, the recommendation or selection accuracy of the application to be upgraded is improved, the user experience is improved, and the complaint of the user is reduced.
For example, whether the application meets the user requirement may be determined according to whether the score data of each evaluation dimension in the reference score data is greater than the score data in the historical score data, that is, optionally, in some embodiments, the step "determining the target application preferred by the user from the at least one application to be upgraded according to the historical score data and the reference score data" may specifically include:
and for each evaluation dimension, when the score data in the reference score data are all larger than the score data in the historical score data, determining the upgraded application corresponding to the reference score data as the target application preferred by the user.
When the score data of each evaluation dimension in the reference score data of the upgraded application is larger than the corresponding score data in the historical score data of the user, the score data of each evaluation dimension of the current upgraded application meets the requirements of the user, and the user can be recommended.
And comparing the grading data of each evaluation dimension to ensure that the recommended application can meet the requirements of the user in all aspects.
In determining the target application to be recommended, the target application may be selected according to a user's dimension attention level for each evaluation dimension, that is, optionally, in some embodiments, the step "determining the target application preferred by the user from the at least one application to be upgraded according to the historical score data and the reference score data" may specifically include:
determining a dimension attention level of the user for each evaluation dimension according to the historical scoring data;
and determining a target application preferred by the user from the at least one application to be upgraded according to the dimension attention level and the reference scoring data.
For example, the dimension attention level may include a first level, a second level, a third level, a fourth level, or a fifth level, where the first level indicates that the user has the highest attention level for the evaluation dimension, and therefore, the target applications may be sequentially screened according to the level of the level.
The dimension attention grade acquired through the historical scoring data is more accurate, and the accuracy of the application selection to be upgraded is improved.
After determining the dimension attention level of each evaluation dimension by the user, several evaluation dimensions focused by the user can be determined according to the dimension attention level, and a target application is selected according to the several evaluation dimensions focused by the user, for example, when the user compares score data of the focused several evaluation dimensions with requirements, the corresponding upgraded application can be considered to meet the requirements of the user, that is, optionally, in some embodiments, the step "determining the target application preferred by the user from the at least one application to be upgraded according to the dimension attention level and the reference score data" may specifically include:
determining at least one target evaluation dimension concerned by the user according to the dimension attention level;
respectively acquiring dimension reference scoring data of each target evaluation dimension from the reference scoring data;
and for each target evaluation dimension, when the dimension reference scoring data is greater than or equal to a preset scoring threshold, determining the upgraded application corresponding to the dimension reference scoring data as the target application preferred by the user.
Therefore, after the scoring data applied to the plurality of evaluation dimensions meet the requirements (preset scoring threshold), the applications can be determined to be in accordance with the requirements of the user or in a range acceptable by the user.
For example, please participate in table 1, the user has a high requirement for the operational fluency of the application (i.e., the operational fluency is a target evaluation dimension), there is no requirement for the ease of use and the aesthetic degree of the interface, the functional requirement is general, and application a and application C can be pushed to the user, and application B does not suggest pushing upgrade because of the low fluency; or the user has no requirement on the smoothness of operation and the easiness of use, and has higher requirements on the attractiveness and the functionality of the interface, and the application B or the application C can be recommended to the user.
For each target evaluation dimension, the preset scoring threshold value can be determined according to the average value of the scoring data of the corresponding target evaluation dimension in the historical scoring data, and can be set to be a higher value according to actual needs so as to ensure that the requirements of the user can be met or the preset scoring threshold value can be accepted by the user.
Optionally, in some embodiments, the step "determining the dimension attention level of the user for each evaluation dimension according to the historical score data" may specifically include:
according to the grading data of the user in each evaluation dimension, determining the complaint probability of the user in each evaluation dimension;
and determining the dimension attention level of the user in each evaluation dimension according to the complaint probability.
In the embodiment of the application, the complaint probability is a ratio of the complaint number to the total evaluation number, wherein the higher the complaint probability is, the higher the requirement of the user on the evaluation dimension is, and the higher the attention degree of the user on the evaluation dimension is, so that the attention level of the user in each evaluation dimension is determined by the complaint probability, and the target evaluation dimension concerned by the user is determined according to the attention level of the dimension.
In the embodiment of the present application, the evaluation with a lower score means that the risk of complaint of the user is higher, and therefore, the evaluation with a lower score can be used as one piece of complaint data.
The method comprises the steps of establishing a mapping relation between complaint probability and dimension attention level, and determining the dimension attention level corresponding to the complaint probability corresponding to the evaluation dimension according to the mapping relation.
Optionally, in some embodiments, the step "determining at least one target evaluation dimension of the user's attention according to the dimension attention level" may specifically include:
determining the complaint probability of the user in each evaluation dimension according to the dimension attention level;
and when the complaint probability is greater than or equal to a preset probability threshold, determining the evaluation dimension corresponding to the complaint probability as a target evaluation dimension.
The preset probability threshold may be determined according to the probability of complaint in the corresponding evaluation dimension in the historical score data, for example, a ratio of the number of complaints to the total number of evaluations, or set as a higher value according to actual needs, so as to ensure that the finally screened application can be accepted by the user.
And when the complaint probability reaches a certain standard (preset probability threshold), the user is considered to pay more attention to the evaluation dimension.
In this embodiment of the present application, a complaint risk value of a user in each evaluation dimension may be determined according to a complaint number, and a dimension attention level of each evaluation dimension is determined according to the complaint risk value, that is, optionally, in some embodiments, the step "determining a dimension attention level of the user for each evaluation dimension according to the historical score data" may specifically include:
obtaining the complaint number of the complaint evaluation of the user in each evaluation dimension from the historical scoring data;
determining a complaint risk value of each evaluation dimension according to the complaint quantity;
and determining the dimension attention level of the user in each evaluation dimension according to the complaint risk value.
In the embodiment of the application, for each evaluation dimension, the larger the number of complaints is, the higher the complaint risk value of the evaluation dimension is, the higher the complaint risk value is, and the higher the attention degree of the user to the evaluation dimension is, for example, the larger the number of complaints of the user to the operation fluency of the application is, the higher the requirement of the user to the operation fluency of the application is, and the higher the attention is.
The complaint risk value may be determined according to a complaint number interval, for example, different complaint risk values are determined according to different complaint number intervals, and different dimensional attention levels are determined, that is, optionally, in some embodiments, the step "determining a dimensional attention level of the user in each evaluation dimension according to the complaint risk value" may specifically include:
determining a dimension attention grade corresponding to each complaint risk value and a complaint quantity interval corresponding to each complaint risk value aiming at each evaluation dimension;
and when the complaint number of the evaluation dimension reaches any complaint number interval, determining the dimension attention level corresponding to any complaint number interval as the dimension attention level of the user for the evaluation dimension.
For example, the complaint number intervals are set to be 0-5, 6-10, 11-15, 16-20 and the like, one complaint risk value is correspondingly set for each interval, for example, 1 point, 2 points, 3 points, 4 points, 5 points and the like, the higher the score is, the higher the complaint risk is, for example, the complaint number of the user for the fluency of the application is 18, the complaint risk value is divided into 4 points; the number of complaints for the functionality of an application is 10, and the complaint risk value is divided into 2 points.
The complaint risk value is determined through the complaint quantity interval, the dimension attention grade is determined according to the complaint risk, and the accuracy of determining the dimension attention grade can be improved.
The dimension attention levels corresponding to different complaint risk values can be determined according to the mapping relation between the complaint risk values and the dimension attention levels.
105. And sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
The upgrade data of the selected target application is sent to the user terminal, so that a user can upgrade the application according to the upgrade data, wherein the upgrade data comprises application silent upgrade data, and after the user terminal receives the silent upgrade data, silent upgrade can be performed according to the silent upgrade data without performing upgrade confirmation by the user, so that the user can perform upgrade operation without perception.
According to the method and the device, the target application to be upgraded preferred by the user is determined according to the reference scoring data of the application to be upgraded and the historical scoring data of the user on the reference application, so that the obtained target application can be accepted by the user or better meets the requirements of the user after being updated, wherein the accuracy of selecting the application to be upgraded is improved by obtaining and referring the scoring data of at least one evaluation dimension; the evaluation dimension concerned by the user is selected, the application meeting the specific requirements of the user can be selected in a targeted manner, the performance requirements on the evaluation dimension not concerned are reduced, and the risk of application complaints is reduced.
In order to better implement the application upgrading method, the application upgrading device based on the application upgrading method is further provided. The meanings of the terms are the same as those in the application upgrading method, and specific implementation details can refer to the description in the method embodiment.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an application upgrading apparatus according to an embodiment of the present application, where the application upgrading apparatus may include an obtaining module 201, an acquiring module 202, an extracting module 203, a determining module 204, and a pushing module 205, and specifically may be as follows:
an obtaining module 201, configured to obtain reference scoring data of at least one application to be upgraded after the application is upgraded, where the reference scoring data includes scoring data of the application to be upgraded, which is applied to at least one evaluation dimension by a reference user.
By acquiring the rating data of the evaluation dimensions, the rating conditions of the user on the upgraded application at multiple angles can be acquired, so that the performance data of the application can be comprehensively known, and the recommendation of the application to be upgraded to the user for a certain evaluation dimension is facilitated.
An acquisition module 202 configured to acquire historical scoring records of the user for the at least one reference application.
The reference application includes other applications in the user terminal device, or applications belonging to the same type as the application to be upgraded, for example, all applications belonging to game and sports, or all applications belonging to answer, or all applications belonging to movie and television.
The historical score record of the reference application indicates the user's expectation of the application, for example, if the user evaluates the fluency of the application more, or the score in terms of fluency is often lower, it indicates that the user has a higher requirement on the fluency of the application.
By acquiring the grading data of the applications of the same type, the expected satisfaction degree of the user on the current application to be upgraded can be acquired more accurately, and the accuracy of the subsequent target application selection is improved.
An extracting module 203, configured to extract historical scoring data on the at least one evaluation dimension from the historical scoring record.
The historical scoring data of each evaluation dimension is acquired, so that the recommendation of the application to be upgraded can be conveniently carried out on the scoring data of each evaluation dimension in the follow-up process.
For the score data of each evaluation dimension, the score data of the user for each evaluation dimension may be obtained in an average manner (for example, for each evaluation dimension, the average value of a plurality of score data in the historical score record is used as the final score data of the evaluation dimension), and the score data of each evaluation dimension is used as the basic requirement value of the user for each evaluation dimension, that is, for each evaluation dimension, when the score data is greater than the basic requirement value, it is considered that the user can accept the current upgrade of the current application, and the accuracy of recommendation of the application to be upgraded is improved.
A determining module 204, configured to determine, according to the historical score data and the reference score data, a target application preferred by the user from the at least one application to be upgraded.
The historical scoring data shows the expectation requirements of the user on each evaluation dimension of the application, the reference scoring data shows the comprehensive objective performance data of the target application in each evaluation dimension, whether the application meets the expectation of the user is determined according to the objective performance data of the application and the expectation requirements of the user, whether the application is the preference application of the user is determined, and therefore the target application is selected.
According to the historical grading data and the reference grading data, the application preferred by the user can be determined, the recommendation or selection accuracy of the application to be upgraded is improved, the user experience is improved, and the complaint of the user is reduced.
Optionally, in some embodiments of the present application, the determining module 204 includes:
a first determining unit, configured to determine, according to the historical scoring data, a dimension attention level of the user for each evaluation dimension;
and the second determining unit is used for determining a target application preferred by the user from the at least one application to be upgraded according to the dimension attention level and the reference scoring data.
Optionally, in some embodiments of the present application, the second determining unit includes:
the first determining subunit is used for determining at least one target evaluation dimension concerned by the user according to the dimension attention level;
the first acquisition subunit is used for respectively acquiring dimension reference scoring data of each target evaluation dimension from the reference scoring data;
and a second determining subunit, configured to determine, for each target evaluation dimension, when the dimension reference scoring data is greater than or equal to a preset scoring threshold, an upgraded application corresponding to the dimension reference scoring data as a target application preferred by the user.
Therefore, after the scoring data applied to the plurality of evaluation dimensions meet the requirements (preset scoring threshold), the applications can be determined to be in accordance with the requirements of the user or in a range acceptable by the user.
For example, please participate in table 1, the user has a high requirement for the operational fluency of the application (i.e., the operational fluency is a target evaluation dimension), there is no requirement for the ease of use and the aesthetic degree of the interface, the functional requirement is general, and application a and application C can be pushed to the user, and application B does not suggest pushing upgrade because of the low fluency; or the user has no requirement on the smoothness of operation and the easiness of use, and has higher requirements on the attractiveness and the functionality of the interface, and the application B or the application C can be recommended to the user.
Optionally, in some embodiments of the present application, the first determining unit includes:
the third determining subunit is used for determining the complaint probability of the user in each evaluation dimension according to the grading data of the user in each evaluation dimension;
the fourth determining subunit is used for determining the dimension attention level of the user in each evaluation dimension according to the complaint probability;
based on the third determining subunit and the fourth determining subunit, the first determining subunit is specifically configured to:
the method comprises the steps of determining the complaint probability of the user in each evaluation dimension according to the dimension attention level;
and when the complaint probability is greater than or equal to a preset probability threshold, determining the evaluation dimension corresponding to the complaint probability as a target evaluation dimension.
Optionally, in some embodiments of the present application, the first determining unit further includes:
the first obtaining subunit is used for obtaining the complaint number of the complaint evaluation of the user in each evaluation dimension from the historical scoring data;
a fifth determining subunit, configured to determine, according to the complaint number, a complaint risk value for each of the evaluation dimensions;
and the sixth determining subunit is used for determining the dimension attention level of the user in each evaluation dimension according to the complaint risk value.
Optionally, in some embodiments of the present application, the sixth determining subunit is specifically configured to:
the method comprises the steps of determining a dimension attention grade corresponding to each complaint risk value and a complaint quantity interval corresponding to each complaint risk value according to each evaluation dimension;
and after the complaint quantity of the evaluation dimension reaches any one of the complaint quantity intervals, determining the dimension attention level corresponding to any one of the complaint quantity intervals as the dimension attention level of the user for the evaluation dimension.
Optionally, in some embodiments of the present application, the determining module includes:
and a third determining unit, configured to, for each evaluation dimension, determine, when all the score data in the reference score data is greater than the score data in the historical score data, an upgraded application corresponding to the reference score data as a target application preferred by the user.
When the score data of each evaluation dimension in the reference score data of the upgraded application is larger than the corresponding score data in the historical score data of the user, the score data of each evaluation dimension of the current upgraded application meets the requirements of the user, and the user can be recommended.
And comparing the grading data of each evaluation dimension to ensure that the recommended application can meet the requirements of the user in all aspects.
A pushing module 205, configured to send the upgrade data of the target application to the terminal device of the user, so that the terminal device upgrades the target application according to the upgrade data.
In the embodiment of the application, firstly, the obtaining module 201 obtains reference scoring data of at least one evaluation dimension after upgrading of at least one application to be upgraded, then, the collecting module 202 collects historical scoring records of a user, then, the extracting module 203 extracts scoring data of each evaluation dimension from the historical scoring records collected by the collecting module 202, then, the determining module 204 screens applications suitable for the user according to the obtaining result of the obtaining module 201 and the extracting result of the extracting module 203, selects at least one target application to be upgraded which can be accepted by the user, and finally, the pushing module 205 sends upgrading information of the target application determined by the determining module 204 to the terminal equipment of the user, and the terminal equipment upgrades the corresponding application according to the upgrading data, wherein the application can be upgraded directly in a silent upgrading mode, according to the method and the device, the target application to be upgraded preferred by the user is determined according to the reference scoring data of the application to be upgraded and the historical scoring data of the user on the reference application, so that the obtained target application can be accepted by the user or better meets the requirements of the user after being updated, and the accuracy of selecting the application to be upgraded is improved by obtaining and referring the scoring data of at least one evaluation dimension; the evaluation dimension concerned by the user is selected, the application meeting the specific requirements of the user can be selected in a targeted manner, the performance requirements on the evaluation dimension not concerned are reduced, and the risk of application complaints is reduced.
In addition, the present application also provides an electronic device, as shown in fig. 4, which shows a schematic structural diagram of the electronic device related to the present application, specifically:
the electronic device may include components such as a processor 401 of one or more processing cores, memory 402 of one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 4 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the electronic device, connects various parts of the whole electronic device by various interfaces and lines, performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the electronic device. Optionally, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and decoding processes by operating the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 402 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. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.
The electronic device further comprises a power supply 403 for supplying power to the various components, and preferably, the power supply 403 is logically connected to the processor 401 through a power management system, so that functions of managing charging, discharging, and power consumption are realized through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The electronic device may further include an input unit 404, and the input unit 404 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the electronic device may further include a display unit and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 401 in the electronic device loads the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and the processor 401 runs the application program stored in the memory 402, thereby implementing various functions as follows:
obtaining reference scoring data of at least one application to be upgraded, wherein the reference scoring data comprises scoring data of the upgraded application on at least one evaluation dimension by a reference user; collecting historical scoring records of a user for at least one reference application; extracting historical scoring data on the at least one evaluation dimension from the historical scoring record; determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data; and sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Determining a target application to be upgraded preferred by a user according to the reference scoring data of the application to be upgraded and the historical scoring data of the reference application by the user, so that the obtained target application can be accepted by the user or better meets the requirements of the user after being updated, wherein the accuracy of selecting the application to be upgraded is improved by obtaining and referring the scoring data of at least one evaluation dimension; the evaluation dimension concerned by the user is selected, the application meeting the specific requirements of the user can be selected in a targeted manner, the performance requirements on the evaluation dimension not concerned are reduced, and the risk of application complaints is reduced.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, the present application provides a computer-readable storage medium having stored therein a plurality of instructions that can be loaded by a processor to perform the steps of any of the application upgrade methods provided herein. For example, the instructions may perform the steps of:
obtaining reference scoring data of at least one application to be upgraded, wherein the reference scoring data comprises scoring data of the upgraded application on at least one evaluation dimension by a reference user; collecting historical scoring records of a user for at least one reference application; extracting historical scoring data on the at least one evaluation dimension from the historical scoring record; determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data; and sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the computer-readable storage medium can execute the steps in any application upgrading method provided by the present application, the beneficial effects that can be achieved by any application upgrading method provided by the present application can be achieved, which are detailed in the foregoing embodiments and will not be described herein again.
The application upgrade method, apparatus, electronic device and computer-readable storage medium provided by the present application are described in detail above, and a specific example is applied in the present application to illustrate the principles and embodiments of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An application upgrade method, comprising:
obtaining reference scoring data of at least one application to be upgraded, wherein the reference scoring data comprises scoring data of the upgraded application on at least one evaluation dimension by a reference user;
collecting historical scoring records of a user for at least one reference application;
extracting historical scoring data on the at least one evaluation dimension from the historical scoring record;
determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data;
and sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
2. The method according to claim 1, wherein the determining the target application preferred by the user from the at least one application to be upgraded according to the historical score data and the reference score data comprises:
determining a dimension attention level of the user for each evaluation dimension according to the historical scoring data;
and determining a target application preferred by the user from the at least one application to be upgraded according to the dimension attention level and the reference scoring data.
3. The method of claim 2, wherein determining the user-preferred target application from the at least one application to be upgraded according to the dimension interest level and the reference scoring data comprises:
determining at least one target evaluation dimension concerned by the user according to the dimension attention level;
respectively acquiring dimension reference scoring data of each target evaluation dimension from the reference scoring data;
and for each target evaluation dimension, when the dimension reference scoring data is greater than or equal to a preset scoring threshold, determining the upgraded application corresponding to the dimension reference scoring data as the target application preferred by the user.
4. The method of claim 3, wherein determining a dimension attention level for the user for each evaluation dimension from the historical scoring data comprises:
according to the grading data of the user in each evaluation dimension, determining the complaint probability of the user in each evaluation dimension;
determining the dimension attention level of the user in each evaluation dimension according to the complaint probability;
the determining at least one target evaluation dimension focused by the user according to the dimension focus level comprises:
determining the complaint probability of the user in each evaluation dimension according to the dimension attention level;
and when the complaint probability is greater than or equal to a preset probability threshold, determining the evaluation dimension corresponding to the complaint probability as a target evaluation dimension.
5. The method of claim 2, wherein determining a dimension attention level for the user for each evaluation dimension from the historical scoring data comprises:
obtaining the complaint number of the complaint evaluation of the user in each evaluation dimension from the historical scoring data;
determining a complaint risk value of each evaluation dimension according to the complaint quantity;
and determining the dimension attention level of the user in each evaluation dimension according to the complaint risk value.
6. The method of claim 5, wherein determining a dimension interest level for the user in each evaluation dimension according to the complaint risk value comprises:
determining a dimension attention grade corresponding to each complaint risk value and a complaint quantity interval corresponding to each complaint risk value aiming at each evaluation dimension;
and when the complaint number of the evaluation dimension reaches any complaint number interval, determining the dimension attention level corresponding to any complaint number interval as the dimension attention level of the user for the evaluation dimension.
7. The method according to claim 1, wherein the determining the target application preferred by the user from the at least one application to be upgraded according to the historical score data and the reference score data comprises:
and for each evaluation dimension, when the score data in the reference score data are all larger than the score data in the historical score data, determining the upgraded application corresponding to the reference score data as the target application preferred by the user.
8. An application upgrade apparatus, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring reference scoring data of at least one application to be upgraded after the application is upgraded, and the reference scoring data comprises scoring data of the application to be upgraded on at least one evaluation dimension by a reference user;
the acquisition module is used for acquiring historical scoring records of a user aiming at least one reference application;
an extraction module, configured to extract historical scoring data on the at least one evaluation dimension from the historical scoring record;
the determining module is used for determining a target application preferred by the user from the at least one application to be upgraded according to the historical scoring data and the reference scoring data;
and the pushing module is used for sending the upgrading data of the target application to the terminal equipment of the user so that the terminal equipment upgrades the target application according to the upgrading data.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the application upgrade method according to any one of claims 1-7 are implemented when the program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the steps of the application upgrade method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117573158A (en) * | 2023-11-02 | 2024-02-20 | 睿智合创(北京)科技有限公司 | Credit scoring product noninductive upgrading switching method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117573158A (en) * | 2023-11-02 | 2024-02-20 | 睿智合创(北京)科技有限公司 | Credit scoring product noninductive upgrading switching method and system |
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