CN112328935B - Application program pushing system and method based on big data - Google Patents
Application program pushing system and method based on big data Download PDFInfo
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Abstract
The invention discloses an application program pushing system and method based on big data, the pushing system comprises an unloading frequency acquisition module, an unloading frequency comparison module, a special identifier judgment module, a mobile terminal detection module, a recommended application program selection module and a use condition acquisition module, the uninstalling times acquisition module acquires the uninstalling times of the current application programs on the mobile terminal, the uninstalling times comparison module enables the special identifier judgment module to judge whether the special identifier is added to the application program when detecting that the uninstalling times of the application program on the mobile terminal is larger than or equal to a second uninstalling times threshold value, if no special identifier exists on the application program, the application program is a target application program, and the mobile terminal detection module is made to detect whether a history of the mobile terminal has a reference application program installed.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an application program pushing system and method based on big data.
Background
The mobile phone application program is a main component of the smart phone, and overcomes the defects and individuation of the original system. The functions of the mobile phone are improved, and a richer use experience main means is provided for a user, so that the diversity and the versatility of the smart phone are realized, the office function, the entertainment function, the life practical function and the like are combined, and the smart phone is widely loved by people.
With the development of the market and the development of the technology, mobile phone applications with the same functional attributes are more and more, but the mobile phone applications with the same functional attributes are different from one another, and due to the difference in the design, users feel different in use. Some mobile phone applications can meet some requirements of the user, but some other functional programs of the mobile phone applications cause poor user experience, and the user cannot quickly find programs for replacing the mobile phone applications.
Disclosure of Invention
The present invention provides a system and a method for pushing an application based on big data, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: an application program pushing system based on big data comprises an unloading frequency acquisition module, an unloading frequency comparison module, a special identifier judgment module, a mobile terminal detection module, a recommended application program selection module and a use condition acquisition module, wherein the unloading frequency acquisition module acquires the unloading frequency of each current application program on a mobile terminal, the unloading frequency comparison module enables the special identifier judgment module to judge whether the application program is added with a special identifier or not when detecting that the unloading frequency of a certain application program on the mobile terminal is larger than or equal to a second unloading frequency threshold value, the application program is a target application program if no special identifier exists on the application program, and the mobile terminal detection module detects whether a history of installing a reference application program exists in the mobile terminal, wherein the reference application program is an application program belonging to the same category as the target application program, if the reference application program is installed and the reference application program exists in the current mobile terminal, the use condition acquisition module is made to acquire the use conditions of the reference application program and the target application program in the mobile terminal, whether other participating application programs are pushed to the user by an application store is judged according to the use conditions, if the fact that the reference application program is installed in the mobile terminal is detected, the recommended application program selection module is made to select the recommended application program, and the recommended application program is pushed by the application store.
Further, the usage collecting module comprises an installation usage acquiring module, an installation usage judging module, a push message acquisition module, a read message judging module and a special identifier adding module, the installation usage acquiring module acquires the latest installation time and the latest usage time of the target application program and each reference application program, the installation usage judging module is used for comparing the relationship between the latest installation time of the target application program and the latest installation time of each reference application program and the relationship between the latest usage time of the target application program and the latest usage time of each reference application program, wherein the latest installation time of the target application program is between the latest installation times of the reference application programs or the latest usage time of the target application program is between the latest usage times of the reference application programs so that the latest installation time of the target application program is between the latest installation times of the reference application programs, or the latest usage time of the target application program is between the latest usage times of the reference application programs so that the latest installation time of the target application program is between the reference application programs The method comprises the steps that a time-based push message condition acquisition module acquires the push message condition of a target application program, a read message judgment module enables a recommended application program selection module to select the recommended application program when no read message exists in the push message of the target application program or the read time of the latest read message is greater than or equal to an interval threshold value with the current time interval, an application store pushes the recommended application program, and a special identifier adding module enables a special identifier to add a special identifier to the target application program when the latest use time of each reference application program is earlier than the latest use time of the target application program or the latest installation time of the target application program is later than the latest installation time of each reference application program.
Further, the pushing system further comprises an uninstallation triggering module, a mobile phone memory obtaining module and an updated version judging module, wherein the uninstallation triggering module enables the mobile phone memory obtaining module to obtain the remaining memory of the mobile terminal when detecting that the mobile terminal triggers to uninstall the application program carrying the special identifier, compares the remaining memory with a memory threshold, enables the updated version judging module to detect that the application program carrying the special identifier has an updated version when the remaining memory is larger than the memory threshold, and pushes the updated version to the user if the updated version exists.
Further, the recommended application program selecting module comprises a screening module, a download frequency counting module and a download sorting module, the screening module is used for screening other mobile terminals which download the target application program in advance, the download frequency counting module is used for counting the download frequency of the application program which belongs to the same category as the target application program and is downloaded by the other mobile terminals screened by the screening module, the download sorting module sorts the application programs according to the sequence of the download frequency from large to small, and the application program N before sorting is selected as the recommended application program, wherein the recommended application program is an application program which is not installed in the history of the mobile terminal.
A big data based application program pushing method comprises the following steps:
step S1: collecting the uninstalling times of the current application programs on the mobile terminal,
when the uninstalling times of a certain application program on the mobile terminal are detected to be larger than or equal to a second uninstalling time threshold value, judging whether the application program is added with a special identifier, and if the application program is not provided with the special identifier, the application program is a target application program;
step S2: the method comprises the steps of setting an application program belonging to the same category as a target application program as a reference application program, detecting whether the reference application program is installed in the history of the mobile terminal, collecting the use conditions of the reference application program and the target application program in the mobile terminal under the condition that the reference application program is installed and the reference application program is present in the current mobile terminal, and judging whether other participating application programs are pushed to a user by an application store according to the use conditions.
Further, the step S2 further includes:
the last installation time and the last usage time of the target application and each reference application are collected,
if there is a last installation time of the target application between the last installation times of the respective reference applications or there is a last usage time of the target application between the last usage times of the respective reference applications,
collecting the push message condition of the target application program, and if the read message does not exist in the push message of the target application program or the read time of the latest read message is more than or equal to the interval threshold value with the current time interval, pushing the recommended application program by the application store;
and adding a special identifier to the target application program if the last using time of each reference application program is earlier than the last using time of the target application program or the last installing time of the target application program is later than the last installing time of each reference application program.
Further, the step S2 further includes:
and if the situation that the reference application program is not installed in the mobile terminal in history is detected, the application store pushes the recommended application program to the user.
Further, the pushing method further comprises:
step S3: when detecting that the mobile terminal triggers to uninstall the application program carrying the special identifier and acquires the residual memory of the mobile terminal, if the residual memory is larger than a memory threshold value, detecting that the application program carrying the special identifier has an updated version, if the updated version exists, pushing the updated version to a user, otherwise, directly uninstalling the application program carrying the special identifier.
Further, the selecting of the recommended application program includes:
the method comprises the steps of screening other mobile terminals downloading target application programs in advance, counting the downloading times of the application programs which are downloaded by the other mobile terminals and belong to the same category as the target application programs, sequencing the application programs according to the sequence from large to small of the downloading times, and selecting the application programs which are N before sequencing as recommended application programs, wherein the recommended application programs are the application programs which are not installed in the history of the mobile terminals.
Further, the push message to which the target application program belongs includes a message that the target application program pushes to the mobile terminal and a message that the target application program pushes to a target application program registration account.
Compared with the prior art, the invention has the following beneficial effects: according to the method and the device, through collecting the historical uninstalling, installing and using conditions of the application program, the similar application program is quickly provided for the user when the user is judged not to experience other similar application programs.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of a big data-based application pushing system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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.
Referring to fig. 1, the present invention provides a technical solution: an application program pushing system based on big data comprises an unloading frequency acquisition module, an unloading frequency comparison module, a special identifier judgment module, a mobile terminal detection module, a recommended application program selection module and a use condition acquisition module, wherein the unloading frequency acquisition module acquires the unloading frequency of each current application program on a mobile terminal, the unloading frequency comparison module enables the special identifier judgment module to judge whether the application program is added with a special identifier or not when detecting that the unloading frequency of a certain application program on the mobile terminal is larger than or equal to a second unloading frequency threshold value, the application program is a target application program if no special identifier exists on the application program, and the mobile terminal detection module detects whether a history of installing a reference application program exists in the mobile terminal, wherein the reference application program is an application program belonging to the same category as the target application program, if the reference application program is installed and the reference application program exists in the current mobile terminal, the use condition acquisition module is made to acquire the use conditions of the reference application program and the target application program in the mobile terminal, whether other participating application programs are pushed to the user by an application store is judged according to the use conditions, if the fact that the reference application program is installed in the mobile terminal is detected, the recommended application program selection module is made to select the recommended application program, and the recommended application program is pushed by the application store.
The use condition acquisition module comprises an installation use time acquisition module, an installation use time judgment module, a push message condition acquisition module, a read message judgment module and a special identifier adding module, the installation use time acquisition module acquires the latest installation time and the latest use time of the target application program and each reference application program, the installation use time judgment module is used for comparing the relationship between the latest installation time of the target application program and the latest installation time of each reference application program and the relationship between the latest use time of the target application program and the latest use time of each reference application program, wherein when the latest installation time of the target application program is between the latest installation time of each reference application program or the latest use time of the target application program is between the latest use time of each reference application program The system comprises a time-ordering push message condition acquisition module, a read message judgment module, a recommended application program selection module and an application store, wherein the time-ordering push message condition acquisition module acquires the push message condition of a target application program, the read message judgment module enables the recommended application program selection module to select the recommended application program when no read message exists in the push message of the target application program or the read time of the latest read message is greater than or equal to an interval threshold value with the current time interval, and the special identifier adding module enables the recommended application program to add a special identifier to the target application program when the latest use time of each reference application program is earlier than the latest use time of the target application program or the latest installation time of the target application program is later than the latest installation time of each reference application program.
The pushing system further comprises an unloading triggering module, a mobile phone memory obtaining module and an update version judging module, wherein when the unloading triggering module detects that the mobile terminal triggers to unload the application program carrying the special identifier, the mobile phone memory obtaining module obtains the residual memory of the mobile terminal, compares the residual memory with a memory threshold value, when the residual memory is larger than the memory threshold value, the update version judging module detects that the application program carrying the special identifier has an update version, and if the update version exists, the update version is pushed to a user.
The recommended application program selecting module comprises a screening module, a download frequency counting module and a download sorting module, the screening module is used for screening other mobile terminals which download the target application program in advance, the download frequency counting module is used for counting the download frequency of the application programs which belong to the same category as the target application program and are downloaded by the other mobile terminals screened by the screening module, the download sorting module sorts the application programs in the descending order of the download frequency, and selects N application programs before sorting as the recommended application program, wherein the recommended application program is an application program which is not installed in the history of the mobile terminal.
A big data based application program pushing method comprises the following steps:
step S1: collecting the uninstalling times of the current application programs on the mobile terminal,
when the uninstalling times of a certain application program on the mobile terminal are detected to be larger than or equal to a second uninstalling time threshold value, judging whether the application program is added with a special identifier, and if the application program is not provided with the special identifier, the application program is a target application program;
step S2: the method comprises the steps of setting an application program belonging to the same category as a target application program as a reference application program, detecting whether the reference application program is installed in the history of the mobile terminal, collecting the use conditions of the reference application program and the target application program in the mobile terminal under the condition that the reference application program is installed and the reference application program is present in the current mobile terminal, and judging whether other participating application programs are pushed to a user by an application store according to the use conditions.
The step S2 further includes:
the last installation time and the last usage time of the target application and each reference application are collected,
if there is a last installation time of the target application between the last installation times of the respective reference applications or there is a last usage time of the target application between the last usage times of the respective reference applications,
collecting the push message condition of the target application program, and if the read message does not exist in the push message of the target application program or the read time of the latest read message is more than or equal to the interval threshold value with the current time interval, pushing the recommended application program by the application store;
and adding a special identifier to the target application program if the last using time of each reference application program is earlier than the last using time of the target application program or the last installing time of the target application program is later than the last installing time of each reference application program.
The step S2 further includes:
and if the situation that the reference application program is not installed in the mobile terminal in history is detected, the application store pushes the recommended application program to the user.
Step S3: when detecting that the mobile terminal triggers to uninstall the application program carrying the special identifier and acquires the residual memory of the mobile terminal, if the residual memory is larger than a memory threshold value, detecting that the application program carrying the special identifier has an updated version, if the updated version exists, pushing the updated version to a user, otherwise, directly uninstalling the application program carrying the special identifier. When the remaining memory is small, the application program carrying the special identifier is deleted probably because the normal execution of other necessary mobile phone application programs is maintained, so that whether the application program has an updated version or not is detected when the remaining memory is larger than a memory threshold value;
the selection of the recommended application program comprises the following steps:
screening other mobile terminals downloading target application programs in advance, counting the downloading times of the application programs which are downloaded by the other mobile terminals and belong to the same category as the target application programs, sequencing the application programs according to the sequence of the downloading times from large to small, and selecting the application programs which are not sequenced at first N as recommended application programs, wherein the recommended application programs are the application programs which are not installed in the history of the mobile terminals; enabling a user to quickly find other applications similar to the target application; n is a natural number;
the push message of the target application program comprises a message pushed to the mobile terminal by the target application program and a message pushed to a target application program registration account by the target application program.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. An application program pushing system based on big data is characterized in that: the pushing system comprises an unloading frequency acquisition module, an unloading frequency comparison module, a special identifier judgment module, a mobile terminal detection module, a recommended application program selection module and a use condition acquisition module, wherein the unloading frequency acquisition module acquires the unloading frequency of each current application program on the mobile terminal, the unloading frequency comparison module enables the special identifier judgment module to judge whether the special identifier is added to the application program when detecting that the unloading frequency of a certain application program on the mobile terminal is larger than or equal to a second unloading frequency threshold value, if no special identifier exists on the application program, the application program is a target application program, and the mobile terminal detection module detects whether a reference application program is installed in the history of the mobile terminal, wherein the reference application program is an application program belonging to the same category as the target application program, if the reference application program is installed and the reference application program exists in the current mobile terminal, enabling the use condition acquisition module to acquire the use conditions of the reference application program and the target application program in the mobile terminal, judging whether other reference application programs are pushed to a user by an application store according to the use conditions, and if the fact that the reference application program is not installed in the history of the mobile terminal is detected, enabling the recommended application program selection module to select the recommended application program and enabling the application store to push the recommended application program;
the use condition acquisition module comprises an installation use time acquisition module, an installation use time judgment module, a push message condition acquisition module, a read message judgment module and a special identifier adding module, the installation use time acquisition module acquires the latest installation time and the latest use time of the target application program and each reference application program, the installation use time judgment module is used for comparing the relationship between the latest installation time of the target application program and the latest installation time of each reference application program and the relationship between the latest use time of the target application program and the latest use time of each reference application program, wherein when the latest installation time of the target application program is between the latest installation time of each reference application program or the latest use time of the target application program is between the latest use time of each reference application program The system comprises a time-based push message condition acquisition module, a read message judgment module, a recommended application program selection module and an application store, wherein the time-based push message condition acquisition module acquires the push message condition of a target application program, the read message judgment module enables the recommended application program selection module to select the recommended application program when no read message exists in the push message of the target application program or the read time of the latest read message is greater than or equal to an interval threshold value with the current time interval, and the special identifier addition module enables the recommended application program to add a special identifier to the target application program when the latest use time of each reference application program is earlier than the latest use time of the target application program or the latest installation time of the target application program is later than the latest installation time of each reference application program;
the pushing system further comprises an unloading triggering module, a mobile phone memory obtaining module and an updating version judging module, wherein when the unloading triggering module detects that the mobile terminal triggers to unload the application program carrying the special identifier, the mobile phone memory obtaining module obtains the residual memory of the mobile terminal and compares the residual memory with a memory threshold value, when the residual memory is larger than the memory threshold value, the updating version judging module detects that the application program carrying the special identifier has an updating version, and if the updating version exists, the updating version is pushed to a user;
the recommended application program selecting module comprises a screening module, a download frequency counting module and a download sorting module, the screening module is used for screening other mobile terminals which download the target application program in advance, the download frequency counting module is used for counting the download frequency of the application programs which belong to the same category as the target application program and are downloaded by the other mobile terminals screened by the screening module, the download sorting module sorts the application programs in the descending order of the download frequency, and selects N application programs before sorting as the recommended application program, wherein the recommended application program is an application program which is not installed in the history of the mobile terminal.
2. A big data-based application program pushing method is characterized in that: the pushing method comprises the following steps:
step S1: acquiring the number of uninstalling times of each current application program on the mobile terminal, judging whether a special identifier is added to the application program or not when the number of uninstalling times of a certain application program on the mobile terminal is detected to be larger than or equal to a second uninstalling time threshold value, and if the application program does not have the special identifier, determining that the application program is a target application program;
step S2: setting an application program belonging to the same category as a target application program as a reference application program, detecting whether the reference application program is installed in the history of the mobile terminal, if the reference application program is installed, and under the condition that the reference application program is present in the current mobile terminal, acquiring the use conditions of the reference application program and the target application program in the mobile terminal, and judging whether an application store pushes other reference application programs to a user according to the use conditions;
the step S2 further includes:
acquiring the latest installation time and the latest use time of a target application program and each reference application program, acquiring the push message condition of the target application program if the latest installation time of the target application program is between the latest installation time of each reference application program or the latest use time of the target application program is between the latest use time of each reference application program, and pushing a recommended application program by an application store if no read message exists in the push message of the target application program or the read time of the latest read message is more than or equal to an interval threshold value with the current time interval; if the last use time of each reference application program is earlier than the last use time of the target application program or the last installation time of the target application program is later than the last installation time of each reference application program, adding a special identifier to the target application program;
the step S2 further includes: if the fact that the reference application program is not installed in the mobile terminal historically is detected, the application store pushes the recommended application program to the user;
the pushing method further comprises the following steps:
step S3: when detecting that the mobile terminal triggers to uninstall the application program carrying the special identifier and acquires the residual memory of the mobile terminal, if the residual memory is larger than a memory threshold value, detecting that the application program carrying the special identifier has an updated version, if the updated version exists, pushing the updated version to a user, otherwise, directly uninstalling the application program carrying the special identifier;
the selection of the recommended application program comprises the following steps: screening other mobile terminals downloading target application programs in advance, counting the downloading times of the application programs which are downloaded by the other mobile terminals and belong to the same category as the target application programs, sequencing the application programs according to the sequence of the downloading times from large to small, and selecting the application programs which are not sequenced at first N as recommended application programs, wherein the recommended application programs are the application programs which are not installed in the history of the mobile terminals;
the push message of the target application program comprises a message pushed to the mobile terminal by the target application program and a message pushed to a target application program registration account by the target application program.
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