CN111047362A - Statistical management method and system for use activity of intelligent sound box - Google Patents
Statistical management method and system for use activity of intelligent sound box Download PDFInfo
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Abstract
The invention discloses a statistical management method for the use activity of an intelligent sound box, which comprises the following steps: step S1: and acquiring a log file and an interactive data set of the intelligent sound box voice interactive system according to a preset attention object, and extracting activity index parameters of each user using the intelligent sound box terminal from the log file and the interactive data set. Step S2: and calculating the activity of each activity index of each user according to the activity index parameters, and establishing an individual activity report form of each user. Step S3: and calculating the average activity of each activity index according to the individual activity report of each user, and establishing an overall activity report of all users. Step S4: and establishing an activity index of each activity index according to the individual activity report and the overall activity report. Step S5: when the service information is pushed aiming at the target user, the service information provided for the target client is modified according to the activity index of each activity index of the target user.
Description
Technical Field
The invention relates to the technical field of data statistics management, in particular to a method and a system for statistics management of usage activity of an intelligent sound box.
Background
In recent two or three years, the smart sound box market has grown rapidly, and has gradually become a large-flow inlet of smart homes. The function of the sound box is continuously enhanced, and more abundant and various service contents are provided for users. More and more families have the intelligent loudspeaker box.
The existing intelligent sound box equipment generally adopts a voice interaction mode, namely a mode that a user asks for a response with a sound box. After the user activates the sound box and connects the sound box to the Internet, the user can initiate a request to the sound box in a normal speaking mode. After receiving the voice request, a microphone module of the sound box transmits the voice data To a cloud, converts the voice data into Text data through a voice Recognition technology (ASR), transmits the Text data To a back-end service logic server, obtains a reply result of the corresponding problem by combining other technologies (such as a natural voice processing technology), generates a voice file through a voice synthesis technology (Text-To-Speech, TTS), and plays the voice file on a sound box platform, so that a user obtains required response information, and the whole process of voice interaction is completed.
The main participants in the process are three parties, namely a user party, a loudspeaker box terminal party and a loudspeaker box server platform party (including the cloud end). And the user performs voice interaction with the sound box terminal, including request initiation and response receiving. And the sound box server platform performs voice text conversion, semantic recognition (natural language category) and service logic processing. The three parties take a sound box terminal as a core and a pivot, and a user obtains various services of a server platform or a cloud in a voice mode.
In some scenarios, participants may be more diverse. For example, an insurance agent may personally maintain his relationship with a customer and send a smart speaker to one or more of his customers in a gift-giving manner, which the customer uses. In the subsequent process, the insurance agent hopes to know the using behavior of the client to the loudspeaker box, induces the habit characteristics of the client, further modifies the communication mode of the client and the client, and stimulates the client to know more interest of insurance products, so that the client can more effectively guarantee the life of the client and family members on one hand, and the agent creates more economic benefits for the client and the client on the other hand.
In the above scenario, a solution is needed to enable the insurance agent to obtain the liveness of the distributed smart speakers, and the three-party participant approach described above cannot meet the needs of the insurance agent.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a statistical management method and a statistical management system for the use activity of an intelligent sound box, which are beneficial for an agent to push service information concerned by a user to the user according to the use condition of the user on influence, improve the viscosity of the user on the intelligent sound box terminal and meet the requirement that the agent wants to keep a long-term association relationship with a user group.
In order to achieve the above object, an embodiment of the present invention provides a statistical management method for usage activity of an intelligent sound box, which includes the following steps:
step S1: acquiring a log file and an interactive data set of the intelligent sound box voice interactive system according to a preset attention object, and extracting activity index parameters of each user using the intelligent sound box terminal from the log file and the interactive data set;
step S2: calculating the activity of each activity index of each user according to the activity index parameters, and establishing an individual activity report form of each user;
step S3: calculating the average activity of each activity index according to the individual activity report of each user, and establishing an overall activity report of all users;
step S4: establishing an activity index of each activity index according to the individual activity report and the overall activity report;
step S5: when the service information is pushed aiming at the target user, the service information provided for the target client is modified according to the activity index of each activity index of the target user.
Specifically, in step S1, according to a preset object of interest, obtaining a log file of the smart speaker voice interaction system, and extracting activity index parameters of each user using the smart speaker terminal from the log file specifically include:
step S11: extracting a first data set of an attention object from an original log file of a sound box access server according to a preset attention object, and extracting a second data set of the attention object from a Mysql database table of a database server;
step S12: respectively acquiring a first original log file and a second original log file from an ASR server and a service logic server;
step S13: and debugging, removing duplicate and counting the first data set, the second data set, the first original log file and the second original log file, and extracting activity index parameters of each user using the intelligent sound box terminal.
Specifically, the activity index comprises a sound box using frequency index of a user, a sound box using time index of the user and various skill access indexes;
the sound box use frequency index of the user comprises awakening frequency, total request frequency, use request frequency of each round and repeated request frequency of the same problem;
the user sound box use time index comprises request time period distribution, one-time request response time, total use time of each round and total use time in a period;
each skill access index comprises an access skill type, access time for accessing the skill, total number of accesses and total duration of accesses.
Specifically, the individual activity report and the overall activity report are both visual data reports.
Specifically, in step S5, according to the activity index of each activity index of the target user, the modifying the service information provided to the target client specifically includes:
determining the activity degree of each activity degree index of the target user according to the activity degree index of each activity degree index of the target user;
and if the activity of a certain activity index of the target user is higher than the average value of the activity indexes, providing the service information containing the attention object to the target client.
Correspondingly, the embodiment of the invention provides a statistical management system for the use activity of an intelligent sound box, which comprises the following steps:
the parameter acquisition module is used for acquiring a log file and an interactive data set of the intelligent sound box voice interactive system according to a preset attention object and extracting activity index parameters of each user using the intelligent sound box terminal from the log file and the interactive data set;
the activity degree calculation module is used for calculating the activity degree of each activity degree index of each user according to the activity degree index parameters and establishing an individual activity degree report form of each user; meanwhile, according to the individual activity report of each user, calculating the average activity of each activity index, and establishing an overall activity report of all users;
the activity index module is used for establishing activity indexes of all activity indexes according to the individual activity report and the overall activity report;
and the push strategy module is used for modifying the service information provided for the target client according to the activity index of each activity index of the target user when the service information is pushed for the target user.
Specifically, the parameter obtaining module includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for extracting a first data set of an attention object from an original log file of a sound box access server according to a preset attention object and extracting a second data set of the attention object from a Mysql database table of a database server;
the second acquisition module is used for respectively acquiring a first original log file and a second original log file from the ASR server and the service logic server;
and the parameter sorting module is used for debugging, removing duplicate and counting the first data set, the second data set, the first original log file and the second original log file, and extracting activity index parameters of each user using the intelligent sound box terminal.
Specifically, the activity index comprises a sound box using frequency index of a user, a sound box using time index of the user and various skill access indexes;
the sound box use frequency index of the user comprises awakening frequency, total request frequency, use request frequency of each round and repeated request frequency of the same problem;
the user sound box use time index comprises request time period distribution, one-time request response time, total use time of each round and total use time in a period;
each skill access index comprises an access skill type, access time for accessing the skill, total number of accesses and total duration of accesses.
Specifically, the individual activity report and the overall activity report are both visual data reports.
Specifically, the push policy module includes:
the judging module is used for determining the activity of each activity index of the target user according to the activity index of each activity index of the target user, and if the activity of a certain activity index of the target user is higher than the average value of the activity indexes, the pushing module is executed;
and the pushing module is used for providing the business information containing the attention object to the target client.
According to the technical system and the implementation method described in the invention, one insurance agent can obtain the attention degrees of a plurality of target users to different objects, namely the activity of the target users to different objects in the intelligent sound box terminal, so that the service information containing the attention objects is effectively pushed to the target users, the viscosity of the users to the intelligent sound box terminal is improved, and the appeal that the insurance agent wants to keep long-term association with a user group is met. Meanwhile, the intelligent sound box terminal is beneficial to providing personalized services for users, and the market competitiveness of the intelligent sound box terminal is enhanced.
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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.
FIG. 1 is a flowchart illustrating a statistical management method for usage activity of an intelligent sound box according to the present invention;
FIG. 2 is a block diagram of a statistical management system to which the method of the present invention is applied;
FIG. 3 is a schematic block diagram of a parameter acquisition module;
fig. 4 is a schematic block diagram of a push policy module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The embodiments of the present invention, and all other embodiments obtained by a person of ordinary skill in the art without any inventive work, belong to the scope of protection of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As used in this disclosure, "module," "device," "system," and the like are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, or software in execution. In particular, for example, an element may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. Also, an application or script running on a server, or a server, may be an element. One or more elements may be in a process and/or thread of execution and an element may be localized on one computer and/or distributed between two or more computers and may be operated by various computer-readable media. The elements may also communicate by way of local and/or remote processes based on a signal having one or more data packets, e.g., from a data packet interacting with another element in a local system, distributed system, and/or across a network in the internet with other systems by way of the signal.
Fig. 1 schematically shows a flowchart of a statistical management method for usage activity of a smart sound box according to the present invention, as shown in fig. 1, the statistical management method includes:
step S1: and acquiring a log file and an interactive data set of the intelligent sound box voice interactive system according to a preset attention object, and extracting activity index parameters of each user using the intelligent sound box terminal from the log file and the interactive data set.
Because the frame characteristics of the sound box access server, the ASR server, the service logic server and the database server of the intelligent sound box voice interaction system are different, the data acquisition modes are also different. Therefore, in step S1, according to the preset attention object, obtaining a log file of the smart speaker voice interaction system, and extracting activity index parameters of each user using the smart speaker terminal from the log file specifically include:
step S11: according to a preset attention object, extracting a first data set of the attention object from an original log file of a sound box access server, and extracting a second data set of the attention object from a Mysql database table of a database server.
The sound box access server generates the most original request data, which includes a large number of error requests, incomplete requests or failed requests, which are all recorded in an original log file, and a first data set of an attention object needs to be extracted or counted from the original log file according to a preset attention object. And the data stored in the database server is standard structured data, and only the Mysql client needs to be connected with the database, directly extract the data set of the concerned object and insert the data set into the second data set.
Step S12: and respectively acquiring a first original log file and a second original log file from the ASR server and the service logic server.
The received data in the ASR server and the service logic server are preprocessed by the front end, and the data volume is much less than that of the sound box access server, so that a first original log file of the ASR server and a second original log file of the service logic server can be extracted.
Step S13: and debugging, removing duplicate and counting the first data set, the second data set, the first original log file and the second original log file, and extracting activity index parameters of each user using the intelligent sound box terminal. And by debugging, duplicate removal and statistics, the activity index parameters are extracted conveniently.
To protect the user privacy, in steps S11 and S12, the user' S specific question answers are not extracted, but only profile information is collected.
Step S2: and calculating the activity of each activity index of each user according to the activity index parameters, and establishing an individual activity report form of each user.
Specifically, the liveness index includes:
a) the sound box using frequency index of the user comprises awakening frequency, total request frequency, using request frequency of each round, repeated request frequency of the same problem and the like, and the index is used for clearly showing the sound box using frequency of the user.
b) The speaker duration index used by the user includes a request time period distribution (for example, 80% of requests are concentrated on weekends), a request response duration, a total duration of each round of use, a total duration of use in a period and the like, and such indexes can indicate the characteristics of the duration of speaker used by the user.
c) And each skill access index comprises an access skill type, access time for accessing the skill, total access times, total access duration and the like. Such indicators can indicate the user's characteristics of interest in selection behavior, usage preferences, etc. for various skills.
In step S2, according to the preset attention object, the individual activity report includes the activity of each activity index of the user for each attention object, and the activity of the user for each attention object is displayed in multiple dimensions.
Step S3: and calculating the average activity of each activity index according to the individual activity report of each user, and establishing an overall activity report of all users.
The individual liveness report is used for displaying the liveness of each concerned object of a single user, and the overall liveness report is used for displaying the liveness of the user group of the agent to each concerned object, so that the characteristics of the individual situation can be judged conveniently through the comparison of the overall situation and the average situation, and corresponding strategy adjustment can be made.
Step S4: and establishing an activity index of each activity index according to the individual activity report and the overall activity report. Therefore, the activity of the target user on each concerned object in different dimensions can be determined according to the activity index, and the target user can be conveniently and directionally provided with personalized services in the follow-up process.
For convenience of reference, the individual activity report and the overall activity report in the steps S3 and S4 are both visual data reports.
Step S5: when pushing service information for a target user, modifying the service information provided to the target client according to the activity index of each activity index of the target user, specifically:
and determining the activity of the target user to each concerned object in different dimensions according to the activity indexes of each activity index of the target user. And if the activity of the target user on a certain concerned object in a certain dimension is higher than the average value of the activity of the concerned object in the dimension, providing the business information containing the concerned object to the target client.
Taking an insurance agent as an example, the insurance agent gives or sells the intelligent sound box terminal to a plurality of users of a user group, in a statistical management period, taking a keyword of 'travel' as an attention object, counting the activity of each user on different dimensions of 'travel', and calculating the average value of the activity of all users on different dimensions of 'travel'. The agent finds that the user A uses the sound box for times with the index higher than the average value in the period through the liveness index, and can provide the travel insurance product information for the user A.
By the method, one insurance agent can obtain the attention degree of a plurality of target users to different objects, namely the activity degree of the target users to different objects in the intelligent sound box terminal, so that the service information containing the attention objects is effectively pushed to the target users, the viscosity of the users to the intelligent sound box terminal is improved, and the appeal that the insurance agent hopes to keep a long-term association relationship with a user group is met. Meanwhile, the intelligent sound box terminal is beneficial to providing personalized services for users, and the market competitiveness of the intelligent sound box terminal is enhanced.
Correspondingly, the invention also provides a statistical management system for the use activity of the intelligent sound box. The statistical management system is connected with the intelligent sound box voice interaction system, and can acquire the activity index parameters of the intelligent sound box terminal used by the user from the intelligent sound box voice interaction system, and modify the service information pushed to the user through the activity index parameters.
The intelligent sound box voice interaction system comprises a sound box access server and a business logic server. The sound box access server is used for interacting voice files with the intelligent sound box terminal, the sound box access server is in communication connection with the service logic server through the ASR server, and after the sound box access server receives a voice request of a user from the intelligent sound box terminal at the front end, the ASR server converts the voice request into a text request and sends the text request to the service logic server at the rear end for logic processing. The service logic server is used for judging natural speech processing (NLP) according to the received text request, performing service processing by combining data in the database server and then generating a reply result to be issued.
As shown in fig. 2-4, the statistical management system includes a parameter obtaining module 100, an activity calculating module 200, an activity indexing module 300, and a push policy module 400.
The parameter obtaining module 100 is configured to obtain a log file and an interactive data set of the smart speaker voice interaction system according to a preset attention object, and extract activity index parameters of the smart speaker terminal used by each user from the log file and the interactive data set.
Specifically, the parameter obtaining module 100 includes a first obtaining module 110, a second obtaining module 120, and a parameter sorting module 130. The first obtaining module 110 may log in the sound box access server periodically through a script or an executable file inside the first obtaining module, and extract a first data set of an attention object from an original log file of the sound box access server according to a preset attention object. Meanwhile, the first obtaining module 110 may further connect to the database server through the Mysql client, extract the second data set of the concerned object from the Mysql database table of the database server according to the preset concerned object, and insert the second data set into the Mysql database table of the first obtaining module.
The second obtaining module 120 may periodically log in the ASR server and the service logic server through a script or an executable file therein, directly obtain the first original log file from the ASR server, and directly obtain the second original log file from the service logic server.
The parameter sorting module 130 is used for debugging, deduplication and statistics of the acquired data, and the above processing procedures can be directly operated on the log or Mysql database of the parameter sorting module 130 through scripts or executable files in the parameter sorting module 130.
The activity calculation module 200 is configured to calculate the activity of each activity index of each user according to the activity index parameters, and establish an individual activity report of each user. Meanwhile, according to the individual activity report of each user, the average activity of each activity index is calculated, and the overall activity report of all users is established.
Wherein the liveness indicator comprises:
a) the sound box using frequency index of the user comprises awakening frequency, total request frequency, using request frequency of each round, repeated request frequency of the same problem and the like, and the index is used for clearly showing the sound box using frequency of the user.
b) The speaker duration index used by the user includes a request time period distribution (for example, 80% of requests are concentrated on weekends), a request response duration, a total duration of each round of use, a total duration of use in a period and the like, and such indexes can indicate the characteristics of the duration of speaker used by the user.
c) And each skill access index comprises an access skill type, access time for accessing the skill, total access times, total access duration and the like. Such indicators can indicate the user's characteristics of interest in selection behavior, usage preferences, etc. for various skills.
According to the preset attention objects, the individual activity report comprises the activity of each activity index of the user to each attention object, and the activity degree of the user to each attention object is displayed in a multi-dimension mode. The overall liveness report is used for displaying the liveness of the user group of the agent to each concerned object, so that the push strategy module 400 can conveniently judge the characteristics of the individual situation through the comparison of the overall situation and the average situation, and make corresponding strategy adjustment.
The individual activity report and the overall activity report are both visual data reports.
Optionally, the activity calculation module 200 is further connected to a mobile phone APP client of the mobile phone terminal through an APP access server, so that an agent can look up the activity of each user at the mobile phone APP client.
The activity index module 300 is used for establishing an activity index of each activity index according to the individual activity report and the overall activity report. The activity index module 300 is disposed in the push policy module 400, so that the push policy module 400 can call the activity index, and the activity index module facilitates subsequent modification of the service information provided to the target client according to the activity index.
The push policy module 400 is connected to the service logic server, and when pushing service information for a target user, may modify the service information provided to the target client according to the activity index of each activity index of the target user. Meanwhile, the push policy module 400 is further connected to the mobile phone APP client of the mobile phone terminal through the APP access server to receive the modification request issued by the agent at the mobile phone APP client.
Specifically, the parameter obtaining module 100 includes a determining module 410 and a pushing module 420.
The judging module 410 is connected to the activity index module 300, and configured to determine the activity of each activity index of the target user according to the activity index of each activity index of the target user, and if the activity of an activity index of a certain item of the target user is higher than the average value of the activity indexes, execute the pushing module 420. The push module 420 is connected to the service logic server, and is configured to provide the service information containing the object of interest to the target client.
By the system provided by the invention, one insurance agent can obtain the attention degree of a plurality of target users to different objects, namely the activity degree of the target users to different objects in the intelligent sound box terminal, so that the service information containing the attention objects is effectively pushed to the target users, the viscosity of the users to the intelligent sound box terminal is improved, and the appeal that the insurance agent hopes to keep long-term association with a user group is met. Meanwhile, the intelligent sound box terminal is beneficial to providing personalized services for users, and the market competitiveness of the intelligent sound box terminal is enhanced.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A statistical management method for intelligent sound box use activity is characterized by comprising the following steps:
step S1: acquiring a log file and an interactive data set of the intelligent sound box voice interactive system according to a preset attention object, and extracting activity index parameters of each user using the intelligent sound box terminal from the log file and the interactive data set;
step S2: calculating the activity of each activity index of each user according to the activity index parameters, and establishing an individual activity report form of each user;
step S3: calculating the average activity of each activity index according to the individual activity report of each user, and establishing an overall activity report of all users;
step S4: establishing an activity index of each activity index according to the individual activity report and the overall activity report;
step S5: when the service information is pushed aiming at the target user, the service information provided for the target client is modified according to the activity index of each activity index of the target user.
2. The method for statistical management of intelligent sound box usage activity according to claim 1, wherein in step S1, according to the preset attention object, obtaining a log file of the intelligent sound box voice interaction system, and extracting activity index parameters of each user using the intelligent sound box terminal from the log file specifically include:
step S11: extracting a first data set of an attention object from an original log file of a sound box access server according to a preset attention object, and extracting a second data set of the attention object from a Mysql database table of a database server;
step S12: respectively acquiring a first original log file and a second original log file from an ASR server and a service logic server;
step S13: and debugging, removing duplicate and counting the first data set, the second data set, the first original log file and the second original log file, and extracting activity index parameters of each user using the intelligent sound box terminal.
3. The statistical management method for the usage activity of the smart sound box according to claim 1, wherein the activity index includes a number of times that a user uses the sound box, a duration index that the user uses the sound box, and skill access indexes;
the sound box use frequency index of the user comprises awakening frequency, total request frequency, use request frequency of each round and repeated request frequency of the same problem;
the user sound box use time index comprises request time period distribution, one-time request response time, total use time of each round and total use time in a period;
each skill access index comprises an access skill type, access time for accessing the skill, total number of accesses and total duration of accesses.
4. The method for statistical management of intelligent loudspeaker usage activity according to claim 1, wherein the individual activity report and the overall activity report are both visual data reports.
5. The statistical management method for usage activity of smart sound boxes according to any one of claims 1 to 4, wherein in step S5, according to the activity index of each activity index of the target user, the modification of the service information provided to the target client specifically comprises:
determining the activity degree of each activity degree index of the target user according to the activity degree index of each activity degree index of the target user;
and if the activity of a certain activity index of the target user is higher than the average value of the activity indexes, providing the service information containing the attention object to the target client.
6. A statistical management system for intelligent loudspeaker box usage liveness comprises:
the parameter acquisition module is used for acquiring a log file and an interactive data set of the intelligent sound box voice interactive system according to a preset attention object and extracting activity index parameters of each user using the intelligent sound box terminal from the log file and the interactive data set;
the activity degree calculation module is used for calculating the activity degree of each activity degree index of each user according to the activity degree index parameters and establishing an individual activity degree report form of each user; meanwhile, according to the individual activity report of each user, calculating the average activity of each activity index, and establishing an overall activity report of all users;
the activity index module is used for establishing activity indexes of all activity indexes according to the individual activity report and the overall activity report;
and the push strategy module is used for modifying the service information provided for the target client according to the activity index of each activity index of the target user when the service information is pushed for the target user.
7. The statistical management system for the usage activity of smart speakers as claimed in claim 6, wherein said parameter obtaining module comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for extracting a first data set of an attention object from an original log file of a sound box access server according to a preset attention object and extracting a second data set of the attention object from a Mysql database table of a database server;
the second acquisition module is used for respectively acquiring a first original log file and a second original log file from the ASR server and the service logic server;
and the parameter sorting module is used for debugging, removing duplicate and counting the first data set, the second data set, the first original log file and the second original log file, and extracting activity index parameters of each user using the intelligent sound box terminal.
8. The statistical management system for intelligent loudspeaker usage activity level of claim 6, wherein the activity level indicators include a user speaker usage number indicator, a user speaker usage duration indicator, and skill access indicators;
the sound box use frequency index of the user comprises awakening frequency, total request frequency, use request frequency of each round and repeated request frequency of the same problem;
the user sound box use time index comprises request time period distribution, one-time request response time, total use time of each round and total use time in a period;
each skill access index comprises an access skill type, access time for accessing the skill, total number of accesses and total duration of accesses.
9. The system for statistical management of intelligent loudspeaker usage activity of claim 6, wherein the individual activity report and the overall activity report are both visual data reports.
10. The statistical management system for the usage activity of smart sound boxes according to any one of claims 6 to 9, wherein the push policy module comprises:
the judging module is used for determining the activity of each activity index of the target user according to the activity index of each activity index of the target user, and if the activity of a certain activity index of the target user is higher than the average value of the activity indexes, the pushing module is executed;
and the pushing module is used for providing the business information containing the attention object to the target client.
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