CN113420211A - Package recommendation method and device and electronic equipment - Google Patents
Package recommendation method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a package recommendation method, a package recommendation device and electronic equipment, wherein the method comprises the following steps: the method comprises the steps of obtaining historical internet surfing data of a user, wherein the historical internet surfing data comprises at least one application program and used flow data corresponding to the application programs, screening the application programs contained in the historical internet surfing data according to preset screening rules and the used flow data corresponding to the application programs to obtain a target application program set, determining a package to be recommended according to a prestored package recommendation rule and the target application program set, and sending the package to be recommended to terminal equipment corresponding to the user, wherein the package to be recommended comprises a target basic package and at least one sub-target application program of flow to be exempted. The embodiment improves the package recommendation accuracy, and further improves the use experience of the user.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a package recommendation method and device and electronic equipment.
Background
With the development of network technology, accessing a network through a mobile terminal has become a common behavior in daily life of users. In order to save expenses, users generally handle traffic packages to realize access to the mobile terminal network.
In real life, due to changes of living habits or work of users, the types of applications preferred by the users also change, and the changes often cause situations that the traffic of the users is insufficient. In view of the above situation, the operator opens different package free from streaming for different applications, and the user who has opened the package free from streaming can use the application corresponding to the package free from traffic.
However, because the use habits of the users often change, the proper package free of circulation cannot be accurately recommended to each user, the conventional package free of circulation recommendation method is generally recommended to the users randomly, and the situations that the flow of the users is insufficient or the package is handled at high cost still exist, so that the package recommendation accuracy is reduced, and the use experience of the users is influenced.
Disclosure of Invention
The embodiment of the invention provides a package recommendation method and device and electronic equipment, and aims to improve package recommendation accuracy.
In a first aspect, an embodiment of the present invention provides a package recommendation method, including:
acquiring historical internet surfing data of a user, wherein the historical internet surfing data comprises at least one application program and used flow data corresponding to each application program;
screening the application programs contained in the historical internet surfing data according to a preset screening rule and used flow data corresponding to each application program to obtain a target application program set;
and determining a package to be recommended according to a prestored package recommendation rule and the target application program set, and sending the package to be recommended to the terminal equipment corresponding to the user, wherein the package to be recommended comprises a target basic package and at least one sub-target application program of a to-be-exempt flow.
Optionally, the screening, according to a preset screening rule and used traffic data corresponding to each application program, an application program included in the historical internet surfing data to obtain a target application program set includes:
screening out an initial target application program with used flow data exceeding a preset flow threshold value from the historical internet surfing data according to a preset screening rule to obtain an initial target application program set;
and matching the application programs in the initial target application program set according to a pre-stored flow-free application program database to obtain a flow-free target application program set.
Optionally, the screening, according to a preset screening rule, an initial target application program whose used traffic data exceeds a preset traffic threshold from the historical internet data to obtain an initial target application program set, including:
determining first used total flow data according to the used flow data corresponding to each application program;
determining the flow threshold from the first total used flow data;
and screening out the initial target application programs with the used flow data exceeding the flow threshold value from the historical internet surfing data to obtain an initial target application program set.
Optionally, the determining a package to be recommended according to a pre-stored package recommendation rule and the target application program set includes:
acquiring package information currently applied by a user, wherein the package information comprises total traffic data;
determining second used total flow data according to the used flow data corresponding to each target application program in the target application program set;
determining estimated standby flow data according to the total flow data and the second used total flow data;
and determining packages to be recommended according to the estimated flow data to be used and the target application program set.
Optionally, the determining a package to be recommended according to the estimated traffic data to be used and the target application program set includes:
determining a target basic package from prestored basic packages containing total flow data according to the estimated to-be-used flow data;
determining at least one sub-target application program of the traffic to be exempted according to the cost value of each target application program in the target application program set;
and obtaining the package to be recommended according to the target basic package and the sub-target application program of the at least one flow to be exempted.
Optionally, after the sending the package to be recommended to the terminal device corresponding to the user, the method further includes:
receiving a package change request sent by terminal equipment corresponding to a user;
and updating package information currently applied by the user into the package to be recommended according to the package change request.
Optionally, before the matching the application programs in the initial target application program set according to the pre-stored traffic-free application program database to obtain the traffic-free target application program set, the method further includes:
acquiring historical flow information of each application program;
screening a plurality of target historical flow information of which the historical flow information exceeds a preset flow information threshold value from the historical flow information of each application program;
and obtaining a flow-free application program database according to the application program corresponding to the target historical flow information.
In a second aspect, an embodiment of the present invention provides a package recommendation apparatus, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring historical internet surfing data of a user, and the historical internet surfing data comprises at least one application program and used flow data corresponding to each application program;
the processing module is used for screening the application programs contained in the historical internet surfing data according to a preset screening rule and the used flow data corresponding to each application program to obtain a target application program set;
the processing module is further configured to determine a package to be recommended according to a pre-stored package recommendation rule and the target application program set, and send the package to be recommended to the terminal device corresponding to the user, where the package to be recommended includes a target basic package and at least a sub-target application program of a traffic to be exempted.
In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the package recommendation method of any one of the first aspects.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the package recommendation method according to any one of the first aspect is implemented.
In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the package recommendation method according to the first aspect and various possible designs of the first aspect is implemented.
The embodiment of the invention provides a package recommending method, a package recommending device and electronic equipment, after the scheme is adopted, historical internet surfing data of a user can be obtained, wherein the historical internet surfing data comprises at least one application program and used flow data corresponding to the application programs, then the application programs contained in the historical internet surfing data can be screened according to preset screening rules and the used flow data corresponding to the application programs to obtain a target application program set, then a package to be recommended comprising a target basic package and at least one sub-target application program of flow to be exempted is determined according to the prestored package recommending rules and the determined target application program set, then the package to be recommended is sent to terminal equipment of a user object, and a package to be recommended comprising the target basic package and the sub-target application program of the flow to be exempted is determined according to the historical internet surfing habit of the user, the newly recommended package can better accord with the internet surfing habit of the user, the package recommendation accuracy is improved, and the use experience of the user is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an application system of a package recommendation method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a package recommendation method according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a package recommendation method according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a package recommendation device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of 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.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of including other sequential examples in addition to those illustrated or described. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, when a user accesses a network (for example, a web page can be browsed, an application program is downloaded and installed, and the application program is run, etc.) through a terminal device, in order to save cost, a package is generally handled in advance, and after the package is successfully handled, the network is accessed through the terminal device. In order to improve the use experience of the user, the operator can open different flow-free packages for different application programs, and after the flow-free packages are opened by the user, the application programs corresponding to the packages can be used at a flow-free rate. However, since the usage habits of users often change, it is not possible to accurately recommend a suitable package free of streaming for each user. For example, the user may often use the office application a for a period of time due to work requirements, and after a period of time, the user may be relatively free to often use the entertainment application B. The conventional flow-free package recommendation method is generally recommended for users randomly, and the situations that the flow of the users is insufficient or package handling costs much still exist, so that the package recommendation accuracy is reduced, and the use experience of the users is influenced.
Based on the technical problems, the method and the device determine the mode of the package to be recommended, which comprises the target basic package and at least one sub-target application program to be free of flow, according to the historical internet surfing habits of the user, so that the newly recommended package can better accord with the internet surfing habits of the user, and the technical effects of improving the package recommendation accuracy and improving the use experience of the user are achieved.
Fig. 1 is a schematic architecture diagram of an application system of a package recommendation method provided in an embodiment of the present invention, and as shown in fig. 1, the application system includes: the system comprises a server 101, a database 102 and terminal equipment 103, wherein historical internet surfing data of a plurality of users are stored in the database 102, the server 101 can obtain the historical internet surfing data of the user to be recommended from the database 102, then a package to be recommended is determined according to the historical internet surfing data, and the package to be recommended is sent to the terminal equipment corresponding to the user.
In addition, the server 101 may obtain historical internet surfing data of a plurality of users at the same time, determine a package to be recommended corresponding to each user, and send the package to be recommended corresponding to each user to the corresponding terminal device. The historical internet surfing data and the terminal equipment of the user can be uniquely identified through the user identification.
The terminal equipment can be a smart phone, a smart wearable device and the like, and SIM cards can be installed, so that equipment with different SIM card packages can be selected.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a flowchart illustrating a package recommendation method according to an embodiment of the present invention, where the method according to the embodiment may be executed by the server 101, and as shown in fig. 2, the method according to the embodiment may include:
s201: the method comprises the steps of obtaining historical internet surfing data of a user, wherein the historical internet surfing data comprises at least one application program and used flow data corresponding to each application program.
In this embodiment, before recommending a package for a user, in order to make the recommended package more conform to the use habit of the user, historical internet surfing data of the user may be obtained first, and then the package to be recommended may be determined according to the historical internet surfing data of the user.
The historical internet surfing data can include not only total traffic used per month, but also application programs using the traffic and used traffic data corresponding to each application program.
In addition, when historical internet surfing data of a user is obtained, historical internet surfing data of a previous month or historical internet surfing data of a previous N months can be obtained by taking the current time as a reference. Historical internet surfing data of the previous month or historical internet surfing data of the previous N months can be obtained by taking the current month as a reference. In addition, other ways of obtaining historical internet data are also within the scope of the present application and will not be discussed in detail here.
In addition, the used traffic data includes mobile traffic and wireless network traffic.
S202: and screening the application programs contained in the historical internet surfing data according to a preset screening rule and the used flow data corresponding to each application program to obtain a target application program set.
In this embodiment, after the historical internet data is obtained, the application programs included in the historical internet data may be screened according to the preset screening rule and the used traffic data corresponding to each application program, so as to obtain a target application program set in which the used traffic data meets the preset condition.
Further, the application programs included in the historical internet data are screened according to preset screening rules and used traffic data corresponding to the application programs, so as to obtain a target application program set, which may specifically include:
and screening out the initial target application program with the used flow data exceeding a preset flow threshold value from the historical internet surfing data according to a preset screening rule to obtain an initial target application program set.
Specifically, after the historical internet surfing data of the user is obtained, an initial target application program with used flow data exceeding a preset flow threshold value can be screened from the historical internet surfing data to obtain an initial target application program set. Generally, the number of applications in the initial target application set is greater than or equal to one, and if the number of applications in the initial target application set is zero, it indicates that the preset flow threshold is set too high, so that the preset flow threshold may be appropriately lowered.
Further, in addition to the preset flow threshold, the flow threshold may be determined according to the total flow actually used. Correspondingly, screening out an initial target application program with used flow data exceeding a preset flow threshold from the historical internet surfing data according to a preset screening rule to obtain an initial target application program set, which specifically includes:
and determining first used total flow data according to the used flow data corresponding to each application program.
Determining the flow threshold from the first total flow data used.
And screening out the initial target application programs with the used flow data exceeding the flow threshold value from the historical internet surfing data to obtain an initial target application program set.
Specifically, when the traffic threshold is determined, first used total traffic data corresponding to each application program in the obtained historical internet data may be determined, and then the traffic threshold may be determined according to the first used total traffic data. Illustratively, the flow threshold may be set to any value between 40% -60% of the first total flow data used.
And matching the application programs in the initial target application program set according to a pre-stored flow-free application program database to obtain a flow-free target application program set.
Specifically, after the initial target application program set is obtained, it is indicated that the application programs that the user prefers to use within the preset time period are obtained, then a pre-stored traffic-free application program database can be obtained, the traffic-free application program database stores the application programs that can avoid traffic, the traffic-free application program database can be matched with the initial target application program centralized application programs, and the application programs that are not only in the traffic-free application program database but also in the initial target application program set are obtained, so that the traffic-free target application program set is obtained.
In addition, the number of the application programs in the target application program set should be greater than or equal to one, and if the number of the application programs in the target application program set is zero, the preset flow threshold value should be readjusted, so that the number of the application programs in the initial target application program set is increased.
S203: and determining a package to be recommended according to a prestored package recommendation rule and a target application program set, and sending the package to be recommended to the terminal equipment corresponding to the user, wherein the package to be recommended comprises a target basic package and at least a sub-target application program of the traffic to be exempted.
In this embodiment, after the target application set with exemptable traffic is obtained, a package to be recommended may be determined according to a preset package recommendation rule and the target application set, where the package to be recommended is a combination of a target basic package and a sub-target application of exemptable traffic. The combination of the target basic package and the sub-target application programs of the traffic to be exempted can be various, that is, one target basic package can correspond to a plurality of sub-target application programs of the traffic to be exempted.
Further, determining a package to be recommended according to a pre-stored package recommendation rule and a target application program set, which may specifically include:
obtaining package information currently applied by a user, wherein the package information comprises total traffic data.
And determining second used total flow data according to the used flow data corresponding to each target application program in the target application program set.
An estimated standby flow data is determined from the total flow data and the second used total flow data.
And determining packages to be recommended according to the estimated flow data to be used and the target application program set.
Specifically, when package is recommended for a user, the basic principle may be that the user obtains more internet traffic on the basis of consuming as little as possible, so a package to be recommended may be determined for the user in a package downshift plus exempt traffic application combination manner.
Correspondingly, when a package to be recommended is determined, package information currently applied by a user can be obtained first, total traffic data in the package information currently applied by the user is determined, and then used traffic data of each target application program in the target application program set are summed to obtain second used total traffic data. And performing difference processing on the total flow data and the second used total flow data to obtain estimated standby flow data, wherein the estimated standby flow data are flows used by other application programs or websites except the application program in the target application program set. After the estimated standby flow data is obtained, the package to be recommended can be determined according to the estimated standby flow data and the target application program set.
Further, determining a package to be recommended according to the estimated to-be-used flow data and the target application program set may specifically include:
and determining a target basic package from prestored basic packages containing total flow data according to the estimated standby flow data.
And determining at least one sub-target application program of the traffic to be exempted according to the cost value of each target application program in the target application program set.
And obtaining the package to be recommended according to the target basic package and the sub-target application program of the at least one flow to be exempted.
Specifically, after obtaining the estimated standby flow data, a target basic package in which the total flow data is greater than or equal to the estimated standby flow data may be obtained from the prestored basic packages. And then, the cost value of each target application program in the target application program set can be obtained, each target application program is ranked according to the cost value, and then the top M names with the lowest ranking are determined as the sub-target application programs of the traffic to be exempted. Here, M may be 1 or any value from 2 to 5, and is not limited in detail here.
After the scheme is adopted, historical internet surfing data of a user can be obtained, wherein the historical internet surfing data comprises at least one application program and used flow data corresponding to each application program, then the application programs contained in the historical internet surfing data can be screened according to preset screening rules and the used flow data corresponding to each application program to obtain a target application program set, then a package to be recommended containing a target basic package and at least one sub-target application program of flow to be avoided is determined according to a prestored package recommendation rule and the determined target application program set, then the package to be recommended is sent to a terminal device of a user object, and the new recommended package can better accord with the internet surfing habits of the user by determining the mode of the package to be recommended containing the target basic package and the sub-target application program of flow to be avoided according to the historical internet surfing habits of the user, the package recommendation accuracy is improved, and the use experience of the user is further improved.
Based on the method of fig. 2, the present specification also provides some specific embodiments of the method, which are described below.
In addition, in another embodiment, after the package to be recommended is sent to the terminal device corresponding to the user, the method may further include:
and receiving a package change request sent by the terminal equipment corresponding to the user.
And updating package information currently applied by the user into the package to be recommended according to the package change request.
In this embodiment, after sending the package to be recommended to the terminal device corresponding to the user, the user may select to replace the package or not to replace the package according to the user's own condition. If the user selects to replace the package, a package change request can be generated on the terminal device side in a touch control mode, then the package change request is sent to the server, and after the server receives the package change request, the package information currently applied by the user can be updated to the package to be recommended according to the package change request.
Furthermore, packages to be recommended can be various combinations of target basic packages and sub-target application programs of the flow to be exempted, each combination has a unique combination identifier, package change requests can include the combination identifiers, and according to the combination identifiers, a server can determine packages to be recommended selected by a user, so that package recommendation accuracy and flexibility are improved.
In addition, in another embodiment, before matching the applications in the initial target application set according to a pre-stored traffic-exempt application database to obtain a target application set of exemptable traffic, the method may further include:
and acquiring historical flow information of each application program.
And screening a plurality of target historical flow information of which the historical flow information exceeds a preset flow information threshold value from the historical flow information of each application program.
And obtaining a flow-free application program database according to the application program corresponding to the target historical flow information.
In this embodiment, when determining the traffic-free application database, the traffic-free application database may be determined according to internet surfing habits of most users, so that the application range of the traffic-free application database is expanded. For example, the traffic-free application database may be a video-type application, a music-type application, a social-type application, a shopping-type application, or a financial-type application.
Fig. 3 is a schematic flow chart of a package recommendation method according to another embodiment of the present invention, and as shown in fig. 3, the method according to this embodiment may include: when package is recommended for a user, according to the price condition of the package currently used by the user and in combination with the flow use condition of the user, a proper flow-free package is selected from a flow-free database of an operator, the current package of the user is downshifted, the expenses after the flow-free package is opened and the package downshifted are calculated, and if the flow-free package is opened and the total expense after the package downshifted is lower than the expense of the current package of the user, the combination of the package after the downshift and the flow-free package can be recommended for the user. In addition, before determining whether to recommend a package for the user, it may be determined whether the package currently applied by the user is a limited-flow package, and if the package is a limited-flow package, the package is not recommended for the user. And if the current package is the current-limiting package, selecting a proper flow-free package from a flow-free database of an operator by combining the flow use condition of the user application, and performing downshift operation processing on the current package of the user.
Based on the same idea, an embodiment of the present specification further provides a device corresponding to the method, and fig. 4 is a schematic structural diagram of a package recommendation device provided in an embodiment of the present invention, as shown in fig. 4, the package recommendation device may include:
the obtaining module 401 is configured to obtain historical internet access data of a user, where the historical internet access data includes at least one application program and used traffic data corresponding to each application program.
And the processing module 402 is configured to filter the application programs included in the historical internet data according to a preset filtering rule and the used traffic data corresponding to each application program, so as to obtain a target application program set.
In this embodiment, the processing module 402 is further configured to:
and screening out the initial target application program with the used flow data exceeding a preset flow threshold value from the historical internet surfing data according to a preset screening rule to obtain an initial target application program set.
And matching the application programs in the initial target application program set according to a pre-stored flow-free application program database to obtain a flow-free target application program set.
Further, the processing module 402 is further configured to:
and determining first used total flow data according to the used flow data corresponding to each application program.
Determining the flow threshold from the first total flow data used.
And screening out the initial target application programs with the used flow data exceeding the flow threshold value from the historical internet surfing data to obtain an initial target application program set.
The processing module 402 is further configured to determine a package to be recommended according to a pre-stored package recommendation rule and the target application program set, and send the package to be recommended to the terminal device corresponding to the user, where the package to be recommended includes a target basic package and at least a sub-target application program of a traffic to be exempted.
In this embodiment, the processing module 402 is further configured to:
obtaining package information currently applied by a user, wherein the package information comprises total traffic data.
And determining second used total flow data according to the used flow data corresponding to each target application program in the target application program set.
Determining estimated standby flow data from the total flow data and the second used total flow data.
And determining packages to be recommended according to the estimated flow data to be used and the target application program set.
Further, the processing module 402 is further configured to:
and determining a target basic package from prestored basic packages containing total flow data according to the estimated standby flow data.
And determining at least one sub-target application program of the traffic to be exempted according to the cost value of each target application program in the target application program set.
And obtaining the package to be recommended according to the target basic package and the sub-target application program of the at least one flow to be exempted.
Moreover, in another embodiment, the processing module 402 is further configured to:
and receiving a package change request sent by the terminal equipment corresponding to the user.
And updating package information currently applied by the user into the package to be recommended according to the package change request.
Moreover, in another embodiment, the processing module 402 is further configured to:
and acquiring historical flow information of each application program.
And screening a plurality of target historical flow information of which the historical flow information exceeds a preset flow information threshold value from the historical flow information of each application program.
And obtaining a flow-free application program database according to the application program corresponding to the target historical flow information.
The apparatus provided in the embodiment of the present invention may implement the method in the embodiment shown in fig. 2, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, and as shown in fig. 5, a device 500 according to the embodiment includes: at least one processor 501 and memory 502. The processor 501 and the memory 502 are connected by a bus 503.
In a specific implementation, the at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that the at least one processor 501 executes the method in the above-described method embodiments.
For a specific implementation process of the processor 501, reference may be made to the above method embodiments, which implement the similar principle and technical effect, and this embodiment is not described herein again.
In the embodiment shown in fig. 5, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the package recommendation method of the method embodiment is realized.
An embodiment of the present invention further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the package recommendation method is implemented as described above.
The computer-readable storage medium may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (11)
1. A package recommendation method is characterized by comprising the following steps:
acquiring historical internet surfing data of a user, wherein the historical internet surfing data comprises at least one application program and used flow data corresponding to each application program;
screening the application programs contained in the historical internet surfing data according to a preset screening rule and used flow data corresponding to each application program to obtain a target application program set;
and determining a package to be recommended according to a prestored package recommendation rule and the target application program set, and sending the package to be recommended to the terminal equipment corresponding to the user, wherein the package to be recommended comprises a target basic package and at least one sub-target application program of a to-be-exempt flow.
2. The method according to claim 1, wherein the step of screening the application programs included in the historical internet data according to a preset screening rule and used traffic data corresponding to each application program to obtain a target application program set comprises:
screening out an initial target application program with used flow data exceeding a preset flow threshold value from the historical internet surfing data according to a preset screening rule to obtain an initial target application program set;
and matching the application programs in the initial target application program set according to a pre-stored flow-free application program database to obtain a flow-free target application program set.
3. The method according to claim 2, wherein the step of screening out an initial target application program with used traffic data exceeding a preset traffic threshold from the historical internet surfing data according to a preset screening rule to obtain an initial target application program set comprises:
determining first used total flow data according to the used flow data corresponding to each application program;
determining the flow threshold from the first total used flow data;
and screening out the initial target application programs with the used flow data exceeding the flow threshold value from the historical internet surfing data to obtain an initial target application program set.
4. The method of claim 1, wherein determining a package to be recommended according to pre-stored package recommendation rules and the set of target applications comprises:
acquiring package information currently applied by a user, wherein the package information comprises total traffic data;
determining second used total flow data according to the used flow data corresponding to each target application program in the target application program set;
determining estimated standby flow data according to the total flow data and the second used total flow data;
and determining packages to be recommended according to the estimated flow data to be used and the target application program set.
5. The method of claim 4, wherein determining a package to recommend based on the estimated standby flow data and the set of target applications comprises:
determining a target basic package from prestored basic packages containing total flow data according to the estimated to-be-used flow data;
determining at least one sub-target application program of the traffic to be exempted according to the cost value of each target application program in the target application program set;
and obtaining the package to be recommended according to the target basic package and the sub-target application program of the at least one flow to be exempted.
6. The method according to any one of claims 1 to 5, wherein after the sending the package to be recommended to the terminal device corresponding to the user, the method further comprises:
receiving a package change request sent by terminal equipment corresponding to a user;
and updating package information currently applied by the user into the package to be recommended according to the package change request.
7. The method of claim 2, further comprising, before the matching the applications in the initial target set of applications according to a pre-stored traffic-free application database to obtain a target set of traffic-free applications:
acquiring historical flow information of each application program;
screening a plurality of target historical flow information of which the historical flow information exceeds a preset flow information threshold value from the historical flow information of each application program;
and obtaining a flow-free application program database according to the application program corresponding to the target historical flow information.
8. A package recommendation device, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring historical internet surfing data of a user, and the historical internet surfing data comprises at least one application program and used flow data corresponding to each application program;
the processing module is used for screening the application programs contained in the historical internet surfing data according to a preset screening rule and the used flow data corresponding to each application program to obtain a target application program set;
the processing module is further configured to determine a package to be recommended according to a pre-stored package recommendation rule and the target application program set, and send the package to be recommended to the terminal device corresponding to the user, where the package to be recommended includes a target basic package and at least a sub-target application program of a traffic to be exempted.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored by the memory causes the at least one processor to perform the package recommendation method of any of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the package recommendation method of any one of claims 1-7.
11. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements a package recommendation method as claimed in any one of claims 1 to 7.
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| CN202110695014.XA CN113420211A (en) | 2021-06-22 | 2021-06-22 | Package recommendation method and device and electronic equipment |
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| CN202110695014.XA CN113420211A (en) | 2021-06-22 | 2021-06-22 | Package recommendation method and device and electronic equipment |
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