CN115578161A

CN115578161A - Statistical method, system, terminal device and storage medium of user intention

Info

Publication number: CN115578161A
Application number: CN202211569366.1A
Authority: CN
Inventors: 董新胜; 李春建; 蔡志坤; 杨成
Original assignee: Shenzhen Jiatui Technology Co ltd
Current assignee: Shenzhen Jiatui Technology Co ltd
Priority date: 2022-12-08
Filing date: 2022-12-08
Publication date: 2023-01-06

Abstract

The invention discloses a statistical method, a statistical system, terminal equipment and a storage medium of user intention, wherein the method comprises the following steps: logging in a sales user number through a preset APP, and acquiring and displaying basic data of a plurality of pieces of digital materials which are created in advance and are related to marketing activities from a server; acquiring and displaying first digital material sharing information from a server; sending first digital material sharing information, and browsing digital material contents by a client through clicking the digital material sharing information; and displaying the user intention degree of the specified user to the salesperson from the server side inquiry. According to the method and the system, sharing information is sent based on the number of the selling user, the client browses digital materials through the sharing information, the server records the behavior of the user for sharing and performs statistics, convenience and efficiency in user intention statistics are achieved, the user intention is displayed for related personnel such as selling, product recommendation and accurate marketing are performed in sales, the transaction rate and the conversion rate are improved, and the method and the system have high practical value and practical significance.

Description

Statistical method, system, terminal device and storage medium of user intention

Technical Field

The present invention relates to the technical field of user intention degree statistics, and in particular, to a user intention degree statistical method, a user intention degree statistical system, a terminal device, and a storage medium.

Background

It is becoming increasingly difficult to make an existing offline face-to-face visit to make new customer acquisitions, and relationship maintenance for some older customers becomes frustrating. With the rapid development of the enterprise digital wave, more and more enterprises gradually migrate offline services to online for digital office work, and develop business activities through App application. The sales of the enterprise can obtain new customers and gain insight on the intention of the customers through online marketing activities, and then the enterprise can carry out targeted recommendation to recommend commodities and services with intention to the customers, so that the conversion rate and the transaction rate are promoted. But most App digital material systems only share and browse, but do not generate effective statistical analysis data, so that sales are facilitated, and the product transaction rate is increased.

Therefore, how to effectively count the online user intention based on the App material system for marketing activities is a problem to be solved urgently.

Disclosure of Invention

The application mainly aims to provide a user intention degree statistical method, a user intention degree statistical device, terminal equipment and a storage medium, and aims to solve the problem of how to effectively count online user intention degrees based on an App material system so as to be used for marketing activities.

In order to achieve the above object, the present application provides a statistical method of user intention, which is applied to a first terminal, the statistical method of user intention comprising the steps of:

sending a digital material acquisition request to a server based on a sales user number, receiving and displaying basic data of a plurality of digital materials pre-created by the server;

sending a sharing request of a first digital material selected from the plurality of digital materials to the server, receiving and displaying first digital material sharing information sent by the server;

sending the first digital material sharing information for a client to click and browse and count sales sharing records;

and sending a user intention query request of a specified user to the server, receiving the first rule user intention data counted by the server, and displaying the first rule user intention data.

Optionally, the step of sending an acquisition request of the digital material to the server based on the number of the selling user, receiving and displaying basic data of a plurality of pieces of digital material created in advance by the server includes:

and sending a login request of the sales user number to the server, receiving verification result information sent by the server, and if the verification result is successful, establishing a session with the server.

Optionally, the statistical method for the user intention degree further includes:

receiving first digital material sharing information;

receiving an access instruction and user authorization intention of a user to the first digital material sharing information;

and sending an access request of the first digital material sharing information to the server, receiving detailed data of the first digital material sent by the server, and displaying the detailed data to a user.

Optionally, the sending a sharing request of a first digital material selected from the plurality of digital materials to the server, and receiving and displaying the sharing information of the first digital material sent by the server includes:

receiving a browsing instruction of a first digital material selected from the plurality of digital materials, sending a browsing request of the first digital material to the server, and receiving and displaying detailed data of the first digital material sent by the server.

The application provides a statistical method of user intention, which is applied to a second terminal and comprises the following steps:

receiving first digital material sharing information;

and sending an access request of the first digital material sharing information to a server, receiving detailed data of the first digital material sent by the server, and displaying the detailed data to a user.

The application provides a statistical method of user intention, which is applied to a server side, wherein the server side comprises a user center, a data reporting service, a digital material service, a data statistical service and a big data service, and the statistical method of the user intention comprises the following steps:

receiving an acquisition request of a first terminal for digital materials, and sending basic data of a plurality of digital materials pre-established by the digital material service to the first terminal;

receiving a sharing request of a first digital material of the first terminal, storing relevant information of the sharing request of the first digital material into a sales sharing record in a database through the data statistics service, generating sharing information and sending the sharing information to the first terminal;

receiving an access request of first digital material sharing information, and sending detailed data of the first digital material obtained through digital material service inquiry;

storing and counting message information of the access request of the first digital material sharing information through the data counting service;

and receiving and processing a user intention query request of a user appointed by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal.

Optionally, the step of receiving an acquisition request of a first terminal for a digital material and sending basic data of a plurality of pieces of digital material created in advance by the digital material service to the first terminal includes:

and receiving a login request of the sales user number sent by the first terminal, verifying the sales user number through the user center, and sending a verification result.

Optionally, the receiving a sharing request of a first digital material of the first terminal, storing, by the data statistics service, relevant information of the sharing request of the first digital material in a sales sharing record in a database, generating sharing information, and sending the sharing information to the first terminal includes:

and receiving a browsing request of a first digital material of the first terminal, and sending detailed data of the first digital material obtained by the digital material service inquiry to the first terminal.

Optionally, the step of storing and counting the message information of the access request to the first digital material sharing information through the data counting service includes:

storing the message information of the access request into a user browsing record in a database through the data statistical service;

according to the user browsing records in the database, counting to obtain user browsing behaviors;

monitoring user browsing behavior of MQ broadcast through the data statistics service;

and preprocessing the monitored user browsing behaviors through the data reporting service, and storing the preprocessed user browsing behaviors into a disk log to obtain browsing log data.

Optionally, the step of preprocessing the monitored browsing behavior of the user through the data reporting service, and storing the preprocessed browsing behavior of the user into a disk log to obtain browsing log data includes:

cleaning browsing log data in the disk log at regular time through the big data service;

and storing the cleaned browsing log data into a distributed file system.

Optionally, the step of receiving and processing a user intention query request of a user specified by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal includes:

and receiving a user intention query request of a user appointed by the first terminal, querying the user intention basic data from the distributed file system, calculating the user intention basic data through rules to obtain first rule user intention data, and sending the first rule user intention data to the first terminal.

The embodiment of the present application further provides a system for counting user intention, where the system for counting user intention includes a first terminal, a second terminal, and a server, and the server includes a user center, a data reporting service, a digital material service, a data counting service, and a big data service, where:

the first terminal is used for sending a digital material acquisition request to the server based on the number of the sales user, receiving and displaying basic data of a plurality of digital materials pre-created by the server; sending a sharing request of a first digital material selected from the plurality of digital materials to the server, receiving and displaying first digital material sharing information sent by the server; sending the first digital material sharing information for a client to click and browse and count sales sharing records; sending a user intention query request of a specified user to the server, receiving first rule user intention data counted by the server, and displaying the first rule user intention data;

the second terminal is used for receiving the first digital material sharing information sent by the first terminal; receiving an access instruction and user authorization intention of a user to the first digital material sharing information; sending an access request of the first digital material sharing information to a server, wherein the access request is used for the server to inquire the obtained detailed data of the first digital material and count the user intention; receiving detailed data of the first digital material sent by the server and displaying the detailed data to a user;

the server is used for receiving an acquisition request of a first terminal for the digital material and a sharing request of the first digital material, and sending corresponding response information to the first terminal; receiving an access request of first digital material sharing information, and sending detailed data of the first digital material obtained through the digital material service inquiry; storing and counting message information of the access request of the first digital material sharing information through the data counting service; and receiving and processing a user intention query request of a user appointed by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal.

The embodiment of the present application further provides a terminal device, where the terminal device includes a memory, a processor, and a statistical program of user intention stored in the memory and running on the processor, and the statistical program of user intention is executed by the processor to implement the step of the statistical method of user intention.

The embodiment of the application also provides a storage medium, wherein a statistical program of the user intention degree is stored on the storage medium, and the statistical program of the user intention degree realizes the steps of the statistical method of the user intention degree when being executed by a processor.

The application provides a statistical method, a statistical system, terminal equipment and a storage medium of user intention. Sending a digital material acquisition request to a server based on a sales user number, receiving and displaying basic data of a plurality of digital materials pre-created by the server; sending a sharing request of a first digital material selected from the plurality of digital materials to the server, receiving and displaying first digital material sharing information sent by the server; sending the first digital material sharing information for a client to click and browse and count sales sharing records; and sending a user intention query request of a specified user to the server, receiving the first rule user intention data counted by the server, and displaying the first rule user intention data. Based on the application, the sharing page is sent to the second terminal by logging in the number of the selling user, the server records the behavior of the user accessing the sharing page and performs statistics, convenience and efficiency in user intention degree statistics are achieved, the sharing page is displayed for sales staff, product recommendation and accurate marketing are performed in sales, the transaction rate and the conversion rate are improved, and therefore the method has high practical value and practical significance.

Drawings

FIG. 1 is a schematic diagram of a functional module of a terminal device to which a user intention degree statistic apparatus of the present application belongs;

FIG. 2 is a flowchart illustrating a first exemplary embodiment of a statistical method for user intent according to the present application;

FIG. 3 is a flowchart illustrating a statistical method for user intent according to a second exemplary embodiment of the present invention;

FIG. 4 is a flowchart illustrating a statistical method for user intent according to a third exemplary embodiment of the present invention;

FIG. 5 is a partial functional service flowchart of a third exemplary embodiment of a statistical method for user intent according to the present application;

FIG. 6 is a partial functional service flowchart of a third exemplary embodiment of a statistical method for user intent according to the present application;

FIG. 7 is a flowchart illustrating a fourth exemplary embodiment of a statistical method for user intent according to the present application;

FIG. 8 is a flowchart illustrating a statistical method for user intention according to a fifth exemplary embodiment of the present disclosure;

FIG. 9 is a block diagram illustrating a flow of big data service processing in a server according to the statistical method for user intention of the present application;

FIG. 10 is a flowchart illustrating a sixth exemplary embodiment of a statistical method for user intent according to the present application;

FIG. 11 is a flowchart illustrating a seventh exemplary embodiment of a statistical method for user intent according to the present application;

fig. 12 is a technical configuration diagram according to the statistical method for user intention according to the present application.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the present application and do not limit the present application.

The method comprises the steps that a digital material acquisition request is sent to a server based on a number of a sales user, and basic data of a plurality of digital materials pre-created by the server are received and displayed; sending a sharing request of a first digital material selected from the plurality of digital materials to the server, receiving and displaying first digital material sharing information sent by the server; sending the first digital material sharing information for a client to click and browse and count sales sharing records; and sending a user intention query request of a specified user to the server, receiving the first rule user intention data counted by the server, and displaying the first rule user intention data. Based on the application, sharing information is sent based on the number of the selling user, the client browses digital materials through the sharing information, the server records the behavior of the user for sharing and performs statistics, the purpose of conveniently and effectively counting the user intention and displaying the user intention for related personnel such as selling is achieved, the product recommendation and accurate marketing are facilitated, the transaction rate and the conversion rate are improved, and the method has high practical value and practical significance.

The technical terms related to the invention are as follows:

hadoop: is a distributed system infrastructure developed by the Apache foundation; a user can develop a distributed program without knowing details of a distributed bottom layer, and high-speed operation and storage are performed by fully utilizing the power of a cluster; the most core design of a Hadoop framework is HDFS and MapReduce, and the HDFS has the characteristic of high fault tolerance and is designed to be deployed on low-cost hardware; and it provides high throughput access to application data, suitable for applications with very large data sets; the HDFS relaxes the requirements of POSIX, and can access data in a file system in a streaming mode; the HDFS adopts a master-slave architecture; the HDFS cluster consists of a NameNode and a plurality of DataNodes respectively; the system comprises a NameNode, a DataNode and a file management module, wherein the NameNode is responsible for managing a naming space of a file system and accessing files by a client; the NameNode and DataNode in the HDFS distributed file system respectively perform their own roles and coordinate to complete distributed file storage; HDFS provides storage for massive data, while MapReduce provides computation for massive data.

Hive: the user processes the data stored in the HDFS, and the significance of Hive is to convert sql statements conforming to Hive into a map-reduce program which is complex and difficult to write.

CDN (Content Delivery Network): is a distributed content distribution network built on a data network. The CDN has the functions of overcoming the defects of insufficient output bandwidth and concurrency capability of a single machine system by adopting a streaming media server clustering technology, greatly increasing the number of concurrent streams supported by the system and reducing or avoiding adverse effects caused by single point failure.

NAS (Network Attached Storage): a device which is literally simply connected to a network and has a data storage function, and is also called a network memory, and the network memory is a special data storage server; the data center is used for completely separating the storage equipment from the server and managing the data in a centralized manner, so that the bandwidth is released, the performance is improved, the total cost of ownership is reduced, and the investment is protected.

Nginx: is a high performance HTTP and reverse proxy web server.

Kylin: the system is an open-source and distributed query data engine, an SQL (structured query language) query interface is provided based on a Hadoop platform, and when creating a cube, kylin uses table data of Hive as a data source.

Specifically, referring to fig. 1, fig. 1 is a schematic diagram of a functional module of a terminal device to which the apparatus for counting the user intention degree of the present application belongs. The statistical device for the user intention degree is based on the terminal equipment and can send sharing information to the user through logging in a sales user number, the server side records the behavior of the user for accessing the sharing information and carries out statistics, and therefore the device enables related personnel such as sales and the like to obtain effective statistical data of marketing activities is achieved, and the device can be borne on the terminal equipment in a hardware or software mode.

In this embodiment, the terminal device to which the user intention counting apparatus belongs includes an output module 110, a processor 120, a memory 130 and a communication module 140.

The memory 130 stores an operating system and a statistical program of user intention, and the statistical device of user intention can send an acquisition request of digital materials to a server based on a number of a selling user, receive and display basic data of a plurality of digital materials pre-created by the server; sending a sharing request of a first digital material selected from the plurality of digital materials to the server, receiving and displaying first digital material sharing information sent by the server; sending the first digital material sharing information for a client to click and browse and count sales sharing records; sending a user intention query request of a specified user to the server, receiving first rule user intention data counted by the server, and storing information such as display and the like in the memory 130; the output module 110 may be a display screen or the like. The communication module 140 may include a WIFI module, a mobile communication module, a bluetooth module, and the like, and communicates with an external device or a server through the communication module 140.

Wherein the statistical procedure of the user's intention in the memory 130 when executed by the processor implements the steps of:

sending a login request of the sales user number to a server through a preset APP, receiving a verification result sent by the server, and if the verification result is successful, establishing a session with the server;

sending a digital material acquisition request to the server based on the number of the sales user, receiving and displaying basic data of a plurality of digital materials pre-created by the server;

receiving a browsing instruction of a first digital material selected from the plurality of digital materials, sending a browsing request of the first digital material to the server, receiving detailed data of the first digital material sent by the server and displaying the detailed data;

sending a sharing request of a first digital material to the server, and receiving first digital material sharing information sent by the server;

Further, the statistical procedure of the user intention in the memory 130 when executed by the processor further realizes the following steps:

receiving first digital material sharing information;

and sending an access request of the first digital material sharing information to the server, receiving the detailed data of the first digital material sent by the server, and displaying the detailed data to a user.

receiving first digital material sharing information sent by a first terminal;

receiving a login request of a sales user number sent by a first terminal, verifying the sales user number through the user center, and sending a verification result;

receiving an acquisition request of the first terminal for the digital material, and sending basic data of a plurality of digital materials pre-established by the digital material service to the first terminal;

receiving a browsing request of a first digital material of the first terminal, and sending detailed data of the first digital material obtained by the digital material service inquiry to the first terminal;

receiving an access request of first digital material sharing information, and sending detailed data of the first digital material obtained through the digital material service inquiry;

and receiving and processing a user intention query request of a user appointed by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal. Further, the statistical procedure of the user intention in the memory 130 when executed by the processor further realizes the following steps:

and preprocessing the monitored user browsing behavior through the data reporting service, and storing the preprocessed user browsing behavior into a disk log to obtain browsing log data.

and storing the cleaned browsing log data into a distributed file system.

Based on the above terminal device architecture, but not limited to the above architecture, the embodiments of the method of the present application are proposed.

Referring to fig. 2, fig. 2 is a flowchart illustrating a first exemplary embodiment of a statistical method for user intention. The statistical method of the user intention degree is applied to a first terminal and comprises the following steps:

step S110, sending a login request of a sales user number to a server through a preset APP, receiving a verification result sent by the server, and if the verification result is successful, establishing a session with the server;

specifically, the preset APP mainly refers to an enterprise-level APP, and the salespersons log in the number of the sales user through the preset APP to share digital material information related to the activity, so that the related personnel can conveniently perform online marketing activities; and when the terminal logs in, the login is failed, the registration is reminded, the login is successful, and the session between the first terminal and the server is established.

Step S120, sending an acquisition request of the digital materials based on the number of the sales user, receiving and displaying basic data of a plurality of digital materials pre-established by the server;

specifically, the first terminal is a terminal device capable of loading software such as a digital material App, an enterprise logs in the digital material App through a login mode such as a mobile phone number, a verification code or a user number, a password and the like, a login request is sent to the server through the first terminal, the server manages services on the basis of a Nginx framework, a digital material service for sending an acquisition request of a digital material to the server is distributed, basic data of the acquired digital materials are sent to the first terminal and displayed on the first terminal, and the basic data of the digital materials comprise basic data related to activities and information such as unique IDs of the digital materials.

Step S130, receiving a browsing instruction of a first digital material selected from the plurality of digital materials, sending a browsing request of the first digital material to the server, receiving and displaying detailed data of the first digital material sent by the server;

specifically, the browsing instruction of the first digital material is that the first terminal is triggered by the sale to receive the browsing instruction, the message for sending the browsing request of the first digital material includes the unique ID of the digital material selected to be browsed on the first terminal by the sale, the browsing request of the first digital material is sent to the server, the detailed data corresponding to the unique ID of the digital material can be found through the digital material service of the server, and the detailed data is sent to the first terminal and displayed to the user.

Step S140, sending a sharing request of the first digital material to the server, and receiving first digital material sharing information sent by the server;

specifically, when a sales person or other marketing personnel click a sharing operation, the first terminal receives a sharing instruction, sends a sharing request to a data statistics service of the server, acquires a unique sharing ID generated at the server for the sharing, requests that the unique ID of the digital material and a sales ID of a currently logged digital material App are stored in a data packet, generates a sales sharing record, and returns the unique ID of the sharing.

Step S150, sending the first digital material sharing information for a client to click and browse and count sales sharing records;

specifically, the first digital material sharing information includes, but is not limited to, a sharing H5 or a poster picture for accessing the first digital material, the sharing H5 is an HTTP link address, and the content of the digital material can be viewed after the authorization is opened in the first terminal or the second terminal; the poster sharing method includes that a picture is generated, a small program code is attached to the poster picture, the picture can be identified by scanning codes and then jumps to a specified landing page to display digital material contents, and a second terminal is a terminal device which can be loaded with daily communication software such as WeChat and can access the small program and H5 link; the first terminal is as described above.

Step S160, sending a user intention query request of a specified user to the server, receiving the first rule user intention data counted by the server, and displaying.

Specifically, a person who sells or related marketing activities can inquire user intention data of a certain specified user through a first terminal, sends a user intention inquiry request to a server, a big data service in the server receives the inquiry request, user behavior log data in Hive are used as the input of cube through a distributed analysis engine Kylin, then a multi-dimensional user intention analysis interface provided by Kylin is called to obtain user intention basic data, and intention data according with a sales check rule are obtained through calculation of business rules.

According to the scheme, the login request of the number of the sales user is sent to the server through the preset APP, the verification result sent by the server is received, and if the verification result is successful, a session with the server is established; sending a digital material acquisition request to a server based on a sales user number, receiving and displaying basic data of a plurality of digital materials pre-created by the server; receiving a browsing instruction of a first digital material selected from the plurality of digital materials, sending a browsing request of the first digital material to the server, receiving detailed data of the first digital material sent by the server and displaying the detailed data; sending a sharing request of a first digital material to the server, and receiving first digital material sharing information sent by the server; sending the first digital material sharing information for a client to click and browse and count sales sharing records; and sending a user intention query request of a specified user to the server, receiving the first rule user intention data counted by the server, and displaying the first rule user intention data. Based on the scheme, the first digital material related information is shared to the second terminal at the first terminal, then the statistical first rule user intention data is obtained by sending a user intention query request to the server side at the first terminal, so that the shared marketing condition is known, and the marketing condition can be more conveniently and effectively helped to sell or other related personnel to know the behavior habits of the user.

Further, based on the above scheme, referring to fig. 3, fig. 3 is a flowchart illustrating a second exemplary embodiment of a statistical method for user intention, where the statistical method for user intention further includes:

step S161, receiving first digital material sharing information;

specifically, the WeChat application of the first terminal receives first digital material sharing information sent by the digital material APP of the first terminal, and specifically shares an H5 link or a poster.

Step S162, receiving an access instruction and user authorization intention of a user to the first digital material sharing information;

specifically, the first digital material sharing information is accessed in the wechat application of the first terminal, and user authorization is requested before the first digital material sharing information is obtained, so that information such as an ID, a user head portrait, a nickname, a gender and the like of the wechat user is obtained.

And step S163, sending an access request of the first digital material sharing information to the server, receiving the detailed data of the first digital material sent by the server, and displaying the detailed data to a user.

Specifically, an access instruction is clicked, an access request for first digital material sharing information is sent to a server from a first terminal, the server distributes and calls digital material services through a gateway, and information such as a nickname, a head portrait, a sex and an account ID of a user sent by the first terminal is obtained through a message of the access request for the first digital material sharing information. And then, requesting to call a digital material service to acquire detailed information of the first digital material and sending the detailed information to a landing page specified by a user to display the content of the digital material.

According to the scheme, the first digital material sharing information is received; receiving an access instruction and user authorization intention of a user to the first digital material sharing information; and sending an access request of the first digital material sharing information to the server, receiving detailed data of the first digital material sent by the server, and displaying the detailed data to a user. Based on the scheme, the shared information is acquired, the user can conveniently check the detailed information of the digital materials, the server side can conveniently count the browsing behaviors of the user, accurate marketing of the salesperson is realized, the transaction rate and the conversion rate are improved, and the method has high practical value and practical significance.

Further, based on the above scheme, referring to fig. 4, fig. 4 is a flowchart illustrating a third exemplary embodiment of a user intention degree statistical method, applied to a second terminal, where the user intention degree statistical method further includes:

step S190, receiving first digital material sharing information sent by a first terminal;

specifically, the first terminal includes but is not limited to a data material APP, the first digital material sharing information includes but is not limited to a sharing ID, H5 or a poster picture shared by the first digital material, the sharing H5 is an HTTP link address, and the digital material content can be viewed after an authorization is opened in a WeChat application of the second terminal; and the poster sharing step is to generate a picture, attach an applet code on the poster picture, scan the code in the WeChat application of the second terminal for identification, and then jump to the appointed landing page to display the digital material content. The second terminal can be loaded with applications such as WeChat, and the like, such as a mobile phone, a computer, a tablet and the like.

Step S200, receiving an access instruction and user authorization intention of a user to the first digital material sharing information;

specifically, the access instruction is that the user accesses by clicking an H5 link or scanning an applet code on a poster, and when the user accesses, the user clicks and agrees to the user authorization intention at a second terminal when browsing the digital material to obtain information such as a nickname, a head portrait, a gender, a user ID and the like of the WeChat user.

Step S210, sending an access request of the first digital material sharing information to a server, receiving detailed data of the first digital material sent by the server, and displaying the detailed data to a user.

Specifically, the access request message of the first digital material sharing information includes user-related information of the second terminal and related information of the first digital material; the user related information of the second terminal and the related information of the first digital material mainly comprise a sharing ID, a selling ID, a digital material type, a micro credit user ID and second terminal equipment information, the server stores and counts the times of accessing the digital material, the ID of an accessing user and the like, and the detailed data of the digital material is inquired according to the message content of the access request and is sent to the client for displaying.

According to the scheme, the server side stores the user access behavior and counts the intention degree through the second terminal to access the detailed data of the first digital material, so that a data basis is provided for inquiring the intention degree of the user, the user can conveniently access the sharing link, and the marketing activity can be conveniently executed and counted.

Further, based on the above scheme, referring to fig. 5, fig. 5 is a schematic flow chart of a fourth exemplary embodiment of a statistical method for user intention, fig. 6 is a partial functional service flow chart of the fourth exemplary embodiment of the statistical method for user intention, and fig. 7 is another partial functional service flow chart of the fourth exemplary embodiment of the statistical method for user intention, which is applied to a server, where the server includes a user center, a data reporting service, a digital material service, a data statistics service, and a big data service, and the statistical method for user intention further includes the following steps:

step S220, receiving a login request of a sales user number sent by a first terminal, verifying the sales user number through the user center, and sending a verification result;

step S230, receiving an acquisition request of the first terminal to the digital material, and sending basic data of a plurality of digital materials pre-created by the digital material service to the first terminal;

specifically, the sales user number comprises a sales account number and is logged in through a first terminal, the first terminal comprises but is not limited to a data material APP terminal, the user number and a password or a telephone number and an authentication code are authenticated through a user center of the server terminal, login validity is ensured, if authentication is successful, browsing page content which is authenticated successfully is returned, and the basic data of a plurality of digital materials which are created in advance through digital material service is mainly sent to the first terminal.

Step S240, receiving a browsing request of a first digital material from the first terminal, and sending detailed data of the first digital material obtained through the digital material service query to the first terminal;

specifically, a request message of a browsing request of the first digital material includes a unique identification ID of the first digital material, after receiving the ID, the digital material service performs matching query in the database, and returns the data to the first terminal after finding the data, so as to display detailed information of the digital material. Further, as shown in fig. 6, the sales service sends a browsing instruction to the APP, the browsing request of the first digital material finds the digital material service through the gateway service agent, so as to complete the data of the digital material to obtain detailed data of the first digital material, if the detailed data of the digital material is an article, the article data is pulled from the CDN according to the unique ID of the digital material, and the completed digital material information is returned to the first terminal.

Step S250, receiving a sharing request of a first digital material of the first terminal, storing relevant information of the sharing request of the first digital material into a sales sharing record in a database through the data statistics service, generating sharing information and sending the sharing information to the first terminal;

specifically, as shown in fig. 6, after digital material information is returned, sharing digital materials specifically includes that when a sales click sharing operation is performed, a unique ID of the sharing is obtained first, further, a data statistics service is performed by sending a sharing request of a first digital material to a server, a data packet content is requested to be contained in a data packet, the sharing ID, the sales ID, the digital material type, the micro credit user ID and user client device information are mainly contained, sales sharing data is recorded in a database, a unique identification ID including the sharing is returned, and a link is generated so that the digital materials are shared by selling the first terminal through an H5 link or a poster. The sharing H5 is an HTTP link address, and the content of the digital material can be checked after authorization is opened in the WeChat; the poster sharing method includes that a picture is generated, a small program code is attached to the poster picture, the small program code is scanned in WeChat for identification, and then jumping to a designated landing page is carried out to display digital material content.

Step S260, receiving an access request of first digital material sharing information, and sending detailed data of the first digital material obtained through the digital material service inquiry;

specifically, the user sends an access request of the first digital material sharing information to the server through the H5 or the applet, the request is distributed to the server through the gateway to call the digital material service, and information such as a nickname, a head portrait, a gender and an account ID of the WeChat user is obtained through a message of the access request of the first digital material sharing information. And then, requesting to call a digital material service to acquire detailed information of the first digital material and sending the detailed information to a landing page specified by a user to display the content of the digital material.

Step S270, storing and counting message information of the access request of the first digital material sharing information through the data counting service;

specifically, as shown in fig. 7, the message information of the access request is stored in the user browsing record in the database through the data statistics service; updating and counting according to the user browsing records in the database to obtain user browsing behaviors; sending MQ broadcast messages of user browsing behaviors, and monitoring the MQ broadcast messages by a downstream service; and processing the monitored user browsing behavior of the MQ broadcast through a data reporting service to obtain browsing log data, and storing the browsing log data as an NAS disk log.

Step S280, receiving and processing a user intention query request of the user specified by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal.

Specifically, a user intention query request of a user specified by a first terminal is received, the user intention basic data is queried from a distributed file system (HDFS), the user intention basic data is calculated through rules, first rule user intention data is obtained, and the first rule user intention data is sent to the first terminal.

According to the scheme, the sales user number is verified through the user center and a verification result is sent by specifically receiving a login request of the sales user number sent by the first terminal; receiving an acquisition request of the first terminal for the digital material, and sending basic data of a plurality of digital materials pre-established by the digital material service to the first terminal; receiving a browsing request of a first digital material of the first terminal, and sending detailed data of the first digital material obtained by the digital material service inquiry to the first terminal; receiving a sharing request of a first digital material of the first terminal, storing relevant information of the sharing request of the first digital material into a sales sharing record in a database through the data statistics service, generating sharing information and sending the sharing information to the first terminal; receiving an access request of first digital material sharing information, and sending detailed data of the first digital material obtained through the digital material service inquiry; storing and counting message information of the access request of the first digital material sharing information through the data counting service; and receiving and processing a user intention query request of a user appointed by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal. Based on the scheme, when the sales wants to check the user intention, the user intention can be sent to the first terminal according to the statistical result, so that the sales staff can know the user preference more easily, and the online statistical data is more reliable and accurate.

Further, based on the above scheme, with reference to fig. 8, fig. 8 is a schematic flowchart of a fifth exemplary embodiment of a statistical method for user intention, where the step of storing and counting, by the data statistics service, message information of an access request to the first digital material sharing information includes:

step S2701, the message information of the access request is stored in the user browsing record in the database through the data statistical service;

specifically, a user browsing behavior reporting interface of the data statistics service is called, and a user browsing record is generated after a sharing ID, a selling ID, a digital material type, a micro credit user ID and user client device information in message information of the access request are stored in a database.

Step S2702, according to the user browsing records in the database, the user browsing behaviors are obtained through statistics;

specifically, the user browsing behavior refers to the number of browsing people who sell the shared first digital material and the browsing times.

Step S2703, user browsing behavior of MQ broadcast is monitored through the data statistics service;

specifically, the downstream data statistics service monitors user browsing behaviors broadcasted by MQ, receives data, completes relevant information through preprocessing, and stores the data into an NAS disk log, wherein each data is in a JSON format, and therefore the behavior log data can be conveniently processed by the big data service into Hive.

Step S2704, the monitored browsing behavior of the user is preprocessed through the data reporting service, and the preprocessed browsing behavior of the user is stored in a disk log to obtain browsing log data.

Specifically, the preprocessing mainly completes the relevant information of the user browsing behavior.

According to the scheme, the user browsing behavior is obtained through statistics according to the user browsing records in the database; monitoring user browsing behavior of MQ broadcast through the data statistics service; and preprocessing the monitored user browsing behaviors through the data reporting service, and storing the preprocessed user browsing behaviors into a disk log to obtain browsing log data. Based on the scheme, high-quality data are provided for counting the user intention.

Further, based on the above scheme, referring to fig. 9, fig. 9 is a schematic flowchart of a sixth exemplary embodiment of a statistical method for user intention, and fig. 10 is a block diagram of a flow of a service process of a large data service in a server of the statistical method for user intention according to the present application, where the step of preprocessing the monitored browsing behavior of the user through the data reporting service, storing the preprocessed browsing behavior of the user in a disk log, and obtaining browsing log data includes:

step S2705, the browsing log data in the disk log is cleaned at regular time through the big data service;

specifically, as shown in fig. 10, which is a flow chart of the big data service processing user intention degree data and querying the user intention degree data, the browsing log data in the NAS disk is processed by executing the task plan starting program regularly, and the processed data event occurs in T +1 day of the data of the current day, and is calculated in non-real time.

Step S2706, store the cleaned browsing log data in the distributed file system.

Specifically, the browsing log data after data cleaning is stored in the distributed file system HDFS.

According to the scheme, the browsing log data in the disk log is cleaned at regular time through the big data service; and storing the cleaned browsing log data into a distributed file system (HDFS). Based on the scheme, the browsing log data are processed through the big data platform and stored in the distributed file system HDFS, so that the intention degree of a certain user is more conveniently acquired from mass data, and the query performance is improved.

Further, based on the above solution, referring to fig. 11, fig. 11 is a schematic flowchart of a seventh exemplary embodiment of a statistical method for user intention, where the receiving and processing a user intention query request of a user specified by the first terminal through the big data service to obtain first rule user intention data, and sending the first rule user intention data to the first terminal includes:

step S2801, receiving a user intention query request of a user specified by the first terminal, querying the user intention basic data from the distributed file system, calculating the user intention basic data according to a rule to obtain first rule user intention data, and sending the first rule user intention data to the first terminal.

Specifically, as shown in fig. 11, when a sale requests to query the intention data of a certain specified user in the digital material App, the big data service receives the query request, then calls the JDBC query interface provided by Kylin to call Hive to execute sql statements, queries the basic data of the intention of the user from the HDFS of the distributed file system, and obtains the intention data of the user meeting the sale check through calculation of the service rules. The big data service summarizes the user intention data, supplements other data such as purchasing records of the user, labels of the user and the like, inquires digital materials such as articles, videos, commodities, files and the like of the same classification or the same label according to the user intention data, sends the digital materials to the first terminal, and can clearly show the digital materials which are interested by the user when the first terminal checks the intention data, the centralized time period for the user to browse the digital materials and the browsing duration of the digital materials are summarized, and the statistical contents are completely digitalized and visually displayed in the first terminal for selling the user number.

According to the scheme, the user intention is counted and returned to the first terminal through the big data service, so that the digital materials which are interested by the user, the concentrated time period for the user to browse the digital materials, the browsing duration summary of the digital materials and the like can be displayed clearly. The method achieves the purposes of conveniently and effectively counting the user intention and displaying the user intention to relevant personnel such as sales personnel.

Further, referring to fig. 12, fig. 12 is a technical architecture diagram related to the statistical method for user intention degree of the present application, wherein:

the APP and the H5/applet serve as clients and are used for browsing and sharing the digital materials;

nginx, a high-performance HTTP and reverse proxy web server, which manages the back-end service mainly through a configuration center, a gateway service and a registration center;

the back-end service is used for receiving the front-end request and mainly comprises a user center, a data reporting service, a digital material service, a data statistics service and a big data service.

The supported database mainly comprises MySQL, redis, mongoDB, HDFS and Kylin.

In addition, an embodiment of the present application further provides a system for counting user intention, where the system for counting user intention includes a first terminal, a second terminal, and a server, and the server includes a user center, a data reporting service, a digital material service, a data statistics service, and a big data service, where:

In addition, the embodiment of the present application further provides a terminal device, where the terminal device includes a memory, a processor, and a user intention degree statistical program stored in the memory and operable on the processor, and the statistical program of the user intention degree realizes the step of the statistical method of the user intention degree when executed by the processor.

Since the statistical procedure of the user's intention is executed by the processor, all technical solutions of all the aforementioned embodiments are adopted, so that all the beneficial effects brought by all the technical solutions of all the aforementioned embodiments are achieved, and details are not repeated herein.

In addition, an embodiment of the present application further provides a readable storage medium, where the storage medium stores a program, and the statistical program for user intention, when executed by a processor, implements the steps of the statistical method for user intention as described above.

Since the statistical procedure of the user's intention is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims

1. A statistical method of user intention is applied to a first terminal, and comprises the following steps:

2. The statistical method for user's intention according to claim 1, wherein the step of sending a request for obtaining digital material to a server based on a number of a selling user, receiving and displaying basic data of a plurality of pieces of digital material created by the server in advance comprises:

and sending a login request of the sales user number to the server through a preset APP, receiving a verification result sent by the server, and if the verification result is successful, establishing a session with the server.

3. The statistical method for user intention according to claim 1, further comprising:

receiving first digital material sharing information;

4. A statistical method of user intention is applied to a second terminal, and comprises the following steps:

receiving first digital material sharing information sent by a first terminal;

5. A statistical method of user intention is characterized in that the statistical method is applied to a server side, the server side comprises a user center, a data reporting service, a digital material service, a data statistical service and a big data service, and the statistical method of the user intention comprises the following steps:

6. The statistical method for user intention according to claim 5, wherein the step of receiving a request for obtaining digital material from a first terminal, and sending basic data of a plurality of pieces of digital material created in advance by the digital material service to the first terminal comprises:

7. The statistical method for user intention according to claim 5, wherein the step of storing and counting message information of the access request to the first digital material sharing information by the data statistics service includes:

preprocessing the monitored user browsing behaviors through the data reporting service, and storing the preprocessed user browsing behaviors into a disk log to obtain browsing log data;

the step of preprocessing the monitored user browsing behavior through the data reporting service, and storing the preprocessed user browsing behavior into a disk log to obtain browsing log data comprises the following steps:

and storing the cleaned browsing log data into a distributed file system.

8. A statistical system of user intention is characterized in that the statistical system of user intention comprises a first terminal, a second terminal and a server, the server comprises a user center, a data reporting service, a digital material service, a data statistics service and a big data service, wherein:

9. A terminal device comprising a memory, a processor and a statistical program of user intention stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the statistical method of user intention according to any one of claims 1 to 7.

10. A storage medium having stored thereon a statistical program of user intention, which when executed by a processor implements the steps of the statistical method of user intention according to any one of claims 1 to 7.