CN111241157A - Operation behavior backtracking method and device and electronic equipment - Google Patents

Operation behavior backtracking method and device and electronic equipment Download PDF

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Publication number
CN111241157A
CN111241157A CN202010015453.7A CN202010015453A CN111241157A CN 111241157 A CN111241157 A CN 111241157A CN 202010015453 A CN202010015453 A CN 202010015453A CN 111241157 A CN111241157 A CN 111241157A
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data
behavior
user
behavior data
module
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CN111241157B (en
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方勇
王燕
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Ant Shengxin Shanghai Information Technology Co ltd
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Alipay Hangzhou Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2471Distributed queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance

Abstract

The present specification provides an operation behavior backtracking method, an operation behavior backtracking device, and an electronic device, where in the operation behavior backtracking method, after an inquiry request of a user is obtained, an inquiry result index corresponding to an identifier in the inquiry request is displayed, then operation information of the user on the inquiry result index is obtained, and in response to the operation information, data corresponding to the identifier is obtained from a block chain; according to the obtained data, the operation process of the user on the data is restored, so that the operation process of the user on the data can be efficiently and accurately restored, the method is applied to the field of internet insurance sales, all operation behaviors of the user in the process of purchasing insurance products can be restored, the real purchase process and purchase information of the user are traced back and restored, in addition, the data used for tracing back are obtained from a block chain, the data cannot be tampered, and the authenticity of the data can be ensured.

Description

Operation behavior backtracking method and device and electronic equipment
[ technical field ] A method for producing a semiconductor device
The present specification relates to the field of internet technologies, and in particular, to a backtracking method and apparatus for an operation behavior, and an electronic device.
[ background of the invention ]
According to the contents of the solicited opinion drafts of the internet insurance sales behavior backtracking management, insurance products sold on the insurance platform need to complete all specified contents so as to be operated in compliance.
In the scheme provided by the prior art, the whole process of purchasing insurance by a user is recorded through a video mode of recording a screen, so that the backtracking of sales behaviors is realized. However, the screen recording function of the mobile phone used by the user needs to be started, and the authorization of the user needs to be obtained, but the authorization easily causes the user to be panic; in addition, if a user purchases an insurance product using a Personal Computer (hereinafter, referred to as a PC), the above scheme cannot record a sales activity on the PC.
[ summary of the invention ]
The embodiment of the specification provides an operation behavior backtracking method and device and electronic equipment, so that the operation process of a user on data is efficiently and accurately restored.
In a first aspect, an embodiment of the present specification provides an operation behavior backtracking method, including: acquiring a query request of a user, wherein the query request comprises an identifier of data which is successfully operated by the user;
displaying the query result index corresponding to the identifier;
acquiring operation information of the user on the query result index;
responding to the operation information, and acquiring data corresponding to the identification from a block chain;
and restoring the operation process of the user on the data according to the acquired data.
In one possible implementation manner, the data acquired from the block chain includes: behavior data of the operation of the user on the data at each operation node;
the operation process of restoring the data by the user according to the acquired data comprises the following steps:
acquiring the behavior content of the user at each operation node according to the behavior data of each operation node;
and restoring the operation behavior of the user at each operation node according to the behavior content.
In one possible implementation manner, before the obtaining of the query request of the user, the method further includes:
acquiring the operation behavior of a user on data at each operation node;
and recording the behavior data of the operation behavior.
In one possible implementation manner, the method further includes:
if the recorded behavior data only comprises behavior data of a user operating the data at partial operation nodes, acquiring operation nodes of missing behavior data; acquiring front-end buried point data of the operation behavior of the user;
cleaning the front-end buried data to obtain behavior data corresponding to the operation node missing the behavior data in the front-end buried data;
and recording behavior data which is obtained by cleaning and corresponds to the operation node which lacks the behavior data.
In one possible implementation manner, the behavior data corresponding to the operation node missing the behavior data obtained by record cleaning includes:
and if the behavior data corresponding to the operation node which lacks the behavior data and is obtained by cleaning comprises behavior data at least two moments, recording the behavior data at the latest moment.
In one possible implementation manner, after the recording of the behavior data of the operation behavior, the method further includes: and uploading the recorded behavior data to the block chain.
In the backtracking method of the operation behaviors, after an inquiry request of a user is obtained, an inquiry result index corresponding to an identifier in the inquiry request is displayed, then operation information of the user on the inquiry result index is obtained, and data corresponding to the identifier is obtained from a block chain in response to the operation information; according to the obtained data, the operation process of the user on the data is restored, so that the operation process of the user on the data can be efficiently and accurately restored, the method is applied to the field of internet insurance sales, all operation behaviors of the user in the process of purchasing insurance products can be restored, the real purchase process and purchase information of the user are traced back and restored, in addition, the data used for tracing back are obtained from a block chain, the data cannot be tampered, and the authenticity of the data can be ensured.
In a second aspect, an embodiment of the present specification provides an operation behavior backtracking apparatus, including:
the acquisition module is used for acquiring a query request of a user, wherein the query request comprises an identifier of data which is successfully operated by the user;
the display module is used for displaying the query result index corresponding to the identifier;
the obtaining module is further configured to obtain operation information of the user on the query result index; and responding to the operation information, and acquiring data corresponding to the identifier from a block chain;
and the restoring module is used for restoring the operation process of the user on the data according to the acquired data.
In one possible implementation manner, the data acquired from the block chain includes: behavior data of the operation of the user on the data at each operation node;
the reduction module comprises:
the content acquisition submodule is used for acquiring the behavior content of the user at each operation node according to the behavior data of each operation node;
and the behavior restoring submodule is used for restoring the operation behavior of the user at each operation node according to the behavior content acquired by the content acquisition submodule.
In one possible implementation manner, the apparatus further includes: a recording module;
the acquisition module is further used for acquiring the operation behavior of the user on the data at each operation node before acquiring the query request of the user;
and the recording module is used for recording the behavior data of the operation behavior.
In one possible implementation manner, the apparatus further includes: a cleaning module;
the obtaining module is further configured to obtain an operation node missing behavior data when the behavior data recorded by the recording module only includes behavior data for a user to operate the data at a part of operation nodes; acquiring front-end buried point data of the operation behavior of the user;
the cleaning module is used for cleaning the front-end buried data to obtain behavior data corresponding to the operation node missing the behavior data in the front-end buried data;
the recording module is further configured to record behavior data corresponding to the operation node which lacks the behavior data and is obtained by cleaning.
In one possible implementation manner, the recording module is specifically configured to record the behavior data at the latest moment when the behavior data corresponding to the operation node missing the behavior data obtained by cleaning includes behavior data at least two moments.
In one possible implementation manner, the apparatus further includes:
and the uploading module is used for uploading the recorded behavior data to the block chain after the recording module records the behavior data of the operation behavior.
In a third aspect, an embodiment of the present specification provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor calling the program instructions to be able to perform the method provided by the first aspect.
In a fourth aspect, embodiments of the present specification provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method provided in the first aspect.
It should be understood that the second to fourth aspects of the present description are consistent with the technical solutions of the first aspect of the present description, and similar advantageous effects are obtained in each aspect and the corresponding possible implementation manners, and are not described again.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a flow diagram of one embodiment of a method for backtracking of operational behavior according to the present description;
FIG. 2 is a diagram illustrating an embodiment of a query interface in a backtracking method of operational behavior according to the present disclosure;
fig. 3 is a schematic diagram of a backtracking detail page in the backtracking method of operation behaviors in the present specification;
FIG. 4 is a flow diagram of another embodiment of a method for backtracking operational behavior of the present specification;
FIG. 5 is a diagram illustrating an embodiment of an operation node in the backtracking method of operation behavior according to the present disclosure;
FIG. 6 is a flowchart of yet another embodiment of a method for backtracking operational behavior of the present specification;
FIG. 7 is a block diagram illustrating an exemplary embodiment of a trace-back apparatus for performing the operations herein;
FIG. 8 is a block diagram illustrating an alternative embodiment of a trace-back mechanism for performing the operations of the present invention;
fig. 9 is a schematic structural diagram of an embodiment of an electronic device in the present specification.
[ detailed description ] embodiments
For better understanding of the technical solutions in the present specification, the following detailed description of the embodiments of the present specification is provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only a few embodiments of the present specification, and not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step are within the scope of the present specification.
The terminology used in the embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the specification. As used in the specification examples and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The embodiment of the specification provides a backtracking method of an operation behavior, which can efficiently and accurately restore the operation process of a user on data. In the description of the embodiments below in this specification, the above operation behavior may include an operation behavior performed by a user in purchasing an insurance product, and the above data may include various data of the insurance product.
According to the contents of the solicited opinion drafts of the internet insurance sales behavior backtracking management, insurance products sold on the insurance platform need to complete all specified contents so as to be operated in compliance. The following explains terms involved in the internet insurance sales process.
1. And (3) selling behaviors of the user: the method is a process for selling insurance products by an insurance company and an insurance intermediary mechanism through information networks such as the Internet and the like, and comprises key links of confirming insurance application willingness of an applicant, filling insurance application information on a self-operated electronic commerce platform of the insurance company and the insurance intermediary mechanism, submitting insurance application and the like;
2. backtracking: the method is characterized in that all operation behaviors of a user in the process of purchasing insurance products can be restored afterwards, and the traceability is formed by two parts, namely sales interface management and sales process recording, and the real purchasing process and purchasing information of the user are restored by backtracking;
3. sales interface version: product interface style records seen by a user during the product selling process;
4. product version sale: data information of detailed contents of products in the product selling process;
5. recording the sales behavior: and recording the operation behavior of the user in the product purchasing process.
Fig. 1 is a flowchart of an embodiment of a backtracking method of an operation behavior in this specification, and as shown in fig. 1, the backtracking method of an operation behavior may include:
step 102, obtaining a query request of a user, where the query request includes an identifier of data that the user successfully operates.
Taking the data including various data of insurance products as an example, the identifier of the data which is successfully operated by the user may include the policy number of the insurance product, and of course, the identifier may also include a user identifier (user identifier; hereinafter abbreviated as UID) of the applicant.
And 104, displaying the query result index corresponding to the identifier.
And 106, acquiring the operation information of the user on the query result index.
Wherein, the operation information may include: the query result index is subjected to operations such as single click, double click, or long press, and the operation information may also include operation information in other forms, and the specific operation form of the operation information is not limited in this embodiment.
And 108, responding to the operation information, and acquiring data corresponding to the identifier from the block chain.
And 110, restoring the operation process of the user on the data according to the acquired data.
The data acquired from the block chain may include: behavior data of the operation of the user on the data at each operation node; thus, step 110 may be: acquiring the behavior content of the user at each operation node according to the behavior data of each operation node; and restoring the operation behavior of the user at each operation node according to the behavior content.
For example, the operation behavior may be an operation behavior performed by a user in a process of purchasing an insurance product, the data may include various data of the insurance product, so that a query request of the user may be input through the query interface shown in fig. 2, and fig. 2 is a schematic diagram of an embodiment of the query interface in the backtracking method of the operation behavior in this specification.
In FIG. 2, the query conditions include a policy number and an applicant UID, where applicant UID is a non-mandatory query condition and policy number is a mandatory query condition. Here, the policy number is an identifier of data that is successfully operated by the user in step 102, and of course, the identifier may only include the policy number, or the identifier may include the policy number and the applicant UID.
The lower part of the interface shown in fig. 2 is a presentation interface of the query result, and as can be seen from fig. 2, the query result includes the following information: the name of the applicant, the number of the applicant's certificate, the time of application, the name of the product to be applied, the number of the policy and the underwriting company; in addition, the item "operation" includes a "view details" icon, which is the query result index in step 104.
In this way, the operation information of the user for indexing the query result may include: if the "view details" icon is clicked, in response to the operation information, data corresponding to the policy number may be obtained from the block chain, where the data may include various data of the insurance product, as shown in fig. 3, and fig. 3 is a schematic diagram of a trace details page in the trace method of the operation behaviors in this specification.
The "backtracking details page" shown in fig. 3 displays by default the 6 nodes "details of the application, application information, important information, health advice, online payment and policy details". The 6 nodes can independently click and view the operation content of the node.
Specifically, after a certain node is clicked, the server may obtain behavior content of the user at the clicked operation node according to behavior data of the clicked operation node obtained from the block chain; and then according to the behavior content, restoring the operation behavior of the user on the clicked operation node, wherein the operation behavior of the clicked operation node can be restored through animation, and the restoration comprises restoring the operation of stopping and/or sliding the user on a page.
In this embodiment, the backtracking details record the time when the name and the identification card of the insured life are changed and the updated result.
In addition, as can be seen from the lower right corner of the interface shown in fig. 3, the "download backtracking file" icon is included in the "backtracking detail page", and after the "download backtracking file" icon is clicked, the server can replay the backtracking file, open the screen recording function, perform the screen recording operation, and generate the video download file. The video download file can be issued to a reader in an encryption mode, and the video download file can be played in any player after being decrypted by the reader.
For the above backtracking operation, an operation log may also be recorded, and the operation log needs to record the operation content and the operation time of the operation user, as shown in table 1.
TABLE 1
Time of operation Operator domain account Operational behavior Operation content traceback encoding
2019-07-04 14:24:45 yan.wangy Query NO.8899
2019-07-04 14:24:45 yan.wangy Downloading NO.8899
2019-07-04 14:24:45 yan.wangy View details NO.8899
In the backtracking method of the operation behaviors, after an inquiry request of a user is obtained, an inquiry result index corresponding to an identifier in the inquiry request is displayed, then operation information of the user on the inquiry result index is obtained, and data corresponding to the identifier is obtained from a block chain in response to the operation information; according to the obtained data, the operation process of the user on the data is restored, so that the operation process of the user on the data can be efficiently and accurately restored, the method is applied to the field of internet insurance sales, all operation behaviors of the user in the process of purchasing insurance products can be restored, the real purchase process and purchase information of the user are traced back and restored, in addition, the data used for tracing back are obtained from a block chain, the data cannot be tampered, and the authenticity of the data can be ensured.
Fig. 4 is a flowchart of another embodiment of a backtracking method of operation behaviors in this specification, as shown in fig. 4, in the embodiment shown in fig. 1 in this specification, before step 102, the method may further include:
and 402, acquiring the operation behavior of the user on the data at each operation node.
And step 404, recording behavior data of the operation behaviors.
Further, if the recorded behavior data only include behavior data of a user operating the data at a part of operation nodes, acquiring operation nodes of missing behavior data; acquiring front-end buried point data of the operation behavior of the user; cleaning the front-end buried data to obtain behavior data corresponding to the operation node of the missing behavior data in the front-end buried data; and recording behavior data which is obtained by cleaning and corresponds to the operation node which lacks the behavior data.
Specifically, the behavior data corresponding to the operation node with the missing behavior data obtained by the record cleaning may be: and if the behavior data obtained by cleaning and corresponding to the operation node missing the behavior data comprises behavior data at least two moments, recording the behavior data at the latest moment.
Specifically, the operation behavior is still the operation behavior performed by the user in the process of purchasing insurance products, the data includes various data of insurance products as an example, the operation node in the process of purchasing insurance products by the user may be as shown in fig. 5, and fig. 5 is a schematic diagram of an embodiment of the operation node in the backtracking method of operation behavior in this specification.
After obtaining the operation behavior of the user on the data at each operation node, the server may record the behavior data of the operation behavior, specifically, the following recording manner may be adopted: and establishing data storage of real-time back-end behavior records, and reporting each operation behavior of the user to the back end in real time for data storage, wherein the recording mode has the advantage of difficulty in data loss. In this embodiment, the behavior data recorded by the back end may be as shown in table 2.
TABLE 2
Figure BDA0002358698470000101
Figure BDA0002358698470000111
Figure BDA0002358698470000121
Figure BDA0002358698470000131
If data loss occurs in the back-end data storage due to a network problem, the recorded behavior data only comprises behavior data of a user operating the data at part of operating nodes, and then the behavior data corresponding to the operating nodes without the behavior data can be cleaned and supplemented through key data of user insurance application behaviors and data of a front-end buried point platform.
Specifically, T +1 cleans the front-end buried data of the sales behavior of the user with successful insurance application, and records the behavior data at the latest moment if the behavior data corresponding to the operation node with the missing behavior data obtained by cleaning comprises behavior data at least two moments. For the data obtained by cleaning, the file title is recorded by 'user UID + single time of insuring', and the data content must contain all the information of the user behavior record content. Wherein, T is the time of successful application of the user, and it is assumed that "day" is used as the time unit, T is the day of successful application of the user, and T +1 is the 1 st day after the user successfully applies the application.
In the embodiment of the present specification, an exception finding mechanism for cleaning user behavior data is further provided, and if the user behavior data is null, the user behavior data is complemented according to the data cleaning mechanism, and is stored according to a data file cleaned normally. If the user's behavioral data cannot be complemented either by the data cleansing mechanism, then the complementation is performed by the minimal set of insurance application database records.
Fig. 6 is a flowchart of a further embodiment of a backtracking method of operation behaviors in this specification, as shown in fig. 6, in the embodiment shown in fig. 4 in this specification, after step 404, the method may further include:
step 602, uploading the recorded behavior data to a blockchain.
In this embodiment, the recorded behavior data of the user insurance process is all uploaded to the block chain in real time to perform data storage, so as to ensure authenticity and non-tampering property of the data, interact with the insurance company synchronously, and store by the insurance company synchronously, thereby meeting the requirement of monitoring and managing that the insurance company needs to store the user sales behavior data.
In specific implementation, after the uplink time can successfully guarantee the user, the recorded behavior data is uploaded to the block chain at T + 1; the uplink condition can complement and complete all behavior data items of the user in the process of insuring; the uplink content may include all behavioral data of the purged user during the application.
Specifically, the uplink content may include:
1. policy base information: a user UID, an insurance product name, an insurance product ID, a policy number, an applicant, an insured person, an applicant certificate number and/or an insured person certificate number;
2. version information: insurance product version number, clause version number, health notice version number and/or page template version number;
3. behavior record data information: behavior data of all operational behaviors of the user.
The operation behavior backtracking method provided by the embodiment of the specification does not need to open a mobile phone camera of a user and obtain authorization of the user, well protects privacy information of the user, and meanwhile solves the psychological barrier that the user needs to open a screen recording when buying insurance, so that the business transaction amount of insurance products can be increased. The backtracking method of the operation behaviors can effectively and accurately play back the purchasing operation records and the purchasing process data records of the user through data backtracking.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Fig. 7 is a schematic structural diagram of an embodiment of a trace-back device for an operation behavior in this specification, where the trace-back device for an operation behavior in this embodiment may be used as a server or a part of a server to implement the trace-back method for an operation behavior provided in the embodiment shown in fig. 1 in this specification. As shown in fig. 7, the above-mentioned backtracking apparatus for operation behavior may include: an acquisition module 71, a display module 72 and a restoration module 73;
an obtaining module 71, configured to obtain a query request of a user, where the query request includes an identifier of data that is successfully operated by the user;
a display module 72, configured to display the query result index corresponding to the identifier;
the obtaining module 71 is further configured to obtain operation information of the user on the query result index; responding to the operation information, and acquiring data corresponding to the identifier from the block chain;
and the restoring module 73 is configured to restore the operation process of the user on the data according to the acquired data.
The operation behavior trace back device provided in the embodiment shown in fig. 7 may be used to implement the technical solution of the method embodiment shown in fig. 1 of the present application, and the implementation principle and the technical effect may further refer to the related description in the method embodiment.
Fig. 8 is a schematic structural diagram of another embodiment of the trace-back apparatus for operation behaviors in the present specification, and compared with the trace-back apparatus for operation behaviors shown in fig. 7, the difference is that in the trace-back apparatus for operation behaviors shown in fig. 8, data obtained from the block chain includes: behavior data of the operation of the user on the data at each operation node;
at this time, the restoring module 73 may include: a content acquisition sub-module 731 and a behavior restoration sub-module 732;
a content obtaining sub-module 731, configured to obtain behavior content of the user at each operation node according to the behavior data of each operation node;
the behavior restoring sub-module 732 is configured to restore the operation behavior of the user at each operation node according to the behavior content acquired by the content acquiring sub-module 731.
In one possible implementation manner, the device for backtracking an operation behavior may further include: a recording module 74;
the obtaining module 71 is further configured to, before obtaining the query request of the user, obtain an operation behavior performed by the user on the data at each operation node;
and a recording module 74, configured to record behavior data of the operation behavior.
In one possible implementation manner, the device for backtracking an operation behavior may further include: a cleaning module 75;
the obtaining module 71 is further configured to obtain an operation node missing behavior data when the behavior data recorded by the recording module 74 only includes behavior data for a user to operate on the data at a part of operation nodes; acquiring front-end buried point data of the operation behavior of the user;
a cleaning module 75, configured to clean the front-end buried data to obtain behavior data corresponding to the operation node missing the behavior data in the front-end buried data;
and the recording module 74 is further configured to record behavior data obtained by cleaning and corresponding to the operation node lacking the behavior data.
In one possible implementation manner, the recording module 74 is specifically configured to record the behavior data at the latest moment when the behavior data corresponding to the operation node missing the behavior data obtained by the cleaning includes behavior data at least two moments.
In one possible implementation manner, the device for backtracking an operation behavior may further include:
and an uploading module 76, configured to upload the recorded behavior data to the blockchain after the recording module 74 records the behavior data of the operation behavior.
The operation behavior trace back device provided in the embodiment shown in fig. 8 may be used to execute the technical solutions of the method embodiments shown in fig. 1, fig. 4, and fig. 6 of the present application, and further reference may be made to the relevant descriptions in the method embodiments for implementing the principles and technical effects.
FIG. 9 is a schematic block diagram of an embodiment of an electronic device according to the present disclosure, which may include at least one processor, as shown in FIG. 9; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the trace-back method for operating behaviors provided by the embodiments shown in fig. 1, 4 and 6 in this specification.
The electronic device may be a server, for example: the cloud server, in this embodiment, does not limit the form of the electronic device.
FIG. 9 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present specification. The electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present specification.
As shown in fig. 9, the electronic device is embodied in the form of a general purpose computing device. Components of the electronic device may include, but are not limited to: one or more processors 410, a memory 430, and a communication bus 440 that connects the various system components (including the memory 430 and the processing unit 410).
Communication bus 440 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Electronic devices typically include a variety of computer system readable media. Such media may be any available media that is accessible by the electronic device and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 430 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) and/or cache Memory. The electronic device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. Memory 430 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the present description.
A program/utility having a set (at least one) of program modules, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in memory 430, each of which examples or some combination may include an implementation of a network environment. The program modules generally perform the functions and/or methodologies of the embodiments described herein.
The processor 410 executes various functional applications and data processing by executing programs stored in the memory 430, for example, implementing a trace-back method of operation behavior provided by the embodiments shown in fig. 1, 4 and 6 of the present specification.
Embodiments of the present specification provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform a backtracking method of operational behavior provided by embodiments of fig. 1, 4, and 6 of the present specification.
The non-transitory computer readable storage medium described above may take any combination of one or more computer readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a flash Memory, an optical fiber, a portable compact disc Read Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present description may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the description of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present specification, "a plurality" means at least two, e.g., two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present description in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present description.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It should be noted that the terminal referred to in the embodiments of the present disclosure may include, but is not limited to, a Personal Computer (Personal Computer; hereinafter, referred to as PC), a Personal Digital Assistant (Personal Digital Assistant; hereinafter, referred to as PDA), a wireless handheld device, a Tablet Computer (Tablet Computer), a mobile phone, an MP3 player, an MP4 player, and the like.
In the several embodiments provided in this specification, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present description may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods described in the embodiments of the present disclosure. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present disclosure, and should not be taken as limiting the present disclosure, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.

Claims (14)

1. A backtracking method of operation behavior is characterized by comprising the following steps:
acquiring a query request of a user, wherein the query request comprises an identifier of data which is successfully operated by the user;
displaying the query result index corresponding to the identifier;
acquiring operation information of the user on the query result index;
responding to the operation information, and acquiring data corresponding to the identification from a block chain;
and restoring the operation process of the user on the data according to the acquired data.
2. The method of claim 1, wherein the data obtained from the blockchain comprises: behavior data of the operation of the user on the data at each operation node;
the operation process of restoring the data by the user according to the acquired data comprises the following steps:
acquiring the behavior content of the user at each operation node according to the behavior data of each operation node;
and restoring the operation behavior of the user at each operation node according to the behavior content.
3. The method of claim 1, wherein before obtaining the query request of the user, the method further comprises:
acquiring the operation behavior of a user on data at each operation node;
and recording the behavior data of the operation behavior.
4. The method of claim 3, further comprising:
if the recorded behavior data only comprises behavior data of a user operating the data at partial operation nodes, acquiring operation nodes of missing behavior data; acquiring front-end buried point data of the operation behavior of the user;
cleaning the front-end buried data to obtain behavior data corresponding to the operation node missing the behavior data in the front-end buried data;
and recording behavior data which is obtained by cleaning and corresponds to the operation node which lacks the behavior data.
5. The method of claim 4, wherein the recording behavior data obtained by cleansing corresponding to the operation node missing the behavior data comprises:
and if the behavior data corresponding to the operation node which lacks the behavior data and is obtained by cleaning comprises behavior data at least two moments, recording the behavior data at the latest moment.
6. The method according to any one of claims 3-5, wherein after the recording the behavior data of the operation behavior, further comprising:
and uploading the recorded behavior data to the block chain.
7. An operational behavior backtracking apparatus, comprising:
the acquisition module is used for acquiring a query request of a user, wherein the query request comprises an identifier of data which is successfully operated by the user;
the display module is used for displaying the query result index corresponding to the identifier;
the obtaining module is further configured to obtain operation information of the user on the query result index; and responding to the operation information, and acquiring data corresponding to the identifier from a block chain;
and the restoring module is used for restoring the operation process of the user on the data according to the acquired data.
8. The apparatus of claim 7, wherein the data obtained from the blockchain comprises: behavior data of the operation of the user on the data at each operation node;
the reduction module comprises:
the content acquisition submodule is used for acquiring the behavior content of the user at each operation node according to the behavior data of each operation node;
and the behavior restoring submodule is used for restoring the operation behavior of the user at each operation node according to the behavior content acquired by the content acquisition submodule.
9. The apparatus of claim 7, further comprising: a recording module;
the acquisition module is further used for acquiring the operation behavior of the user on the data at each operation node before acquiring the query request of the user;
and the recording module is used for recording the behavior data of the operation behavior.
10. The apparatus of claim 9, further comprising: a cleaning module;
the obtaining module is further configured to obtain an operation node missing behavior data when the behavior data recorded by the recording module only includes behavior data for a user to operate the data at a part of operation nodes; acquiring front-end buried point data of the operation behavior of the user;
the cleaning module is used for cleaning the front-end buried data to obtain behavior data corresponding to the operation node missing the behavior data in the front-end buried data;
the recording module is further configured to record behavior data corresponding to the operation node which lacks the behavior data and is obtained by cleaning.
11. The apparatus of claim 10,
the recording module is specifically configured to record the behavior data at the latest moment when the behavior data corresponding to the operation node missing the behavior data obtained by cleaning includes behavior data at least two moments.
12. The apparatus of any one of claims 9-11, further comprising:
and the uploading module is used for uploading the recorded behavior data to the block chain after the recording module records the behavior data of the operation behavior.
13. An electronic device, comprising:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 6.
14. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 6.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111967062A (en) * 2020-08-21 2020-11-20 支付宝(杭州)信息技术有限公司 Data processing system, method and device based on block chain
CN112039972A (en) * 2020-08-26 2020-12-04 支付宝(杭州)信息技术有限公司 Service processing method, device and equipment
CN112039971A (en) * 2020-08-26 2020-12-04 支付宝(杭州)信息技术有限公司 Data recording method and device, and data storage method and device
CN112182473A (en) * 2020-12-01 2021-01-05 未鲲(上海)科技服务有限公司 Page operation behavior playback method and device, computer equipment and storage medium
CN112231517A (en) * 2020-11-04 2021-01-15 支付宝(杭州)信息技术有限公司 Data query method and device
CN112333549A (en) * 2021-01-04 2021-02-05 深圳壹账通智能科技有限公司 Video processing method and device, electronic equipment and storage medium
CN112818380A (en) * 2020-07-10 2021-05-18 支付宝(杭州)信息技术有限公司 Method, device, equipment and system for backtracking processing of business behaviors
CN116862677A (en) * 2023-09-04 2023-10-10 湖北微模式科技发展有限公司 Internet transaction traceable method and system with checking function

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030236787A1 (en) * 2002-06-25 2003-12-25 Burges Christopher J.C. System and method providing automated margin tree analysis and processing of sampled data
CN109145625A (en) * 2018-08-31 2019-01-04 阿里巴巴集团控股有限公司 Processing method, device and the block chain data-storage system of policy information
CN110149361A (en) * 2019-04-02 2019-08-20 众安信息技术服务有限公司 A kind of Internet service operating process retrogressive method, system and device
CN110489313A (en) * 2019-07-04 2019-11-22 平安科技(深圳)有限公司 Operation log recording method, device and storage medium based on block chain
CN110555780A (en) * 2019-09-09 2019-12-10 腾讯科技(深圳)有限公司 insurance data processing method, device and equipment based on block chain and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030236787A1 (en) * 2002-06-25 2003-12-25 Burges Christopher J.C. System and method providing automated margin tree analysis and processing of sampled data
CN109145625A (en) * 2018-08-31 2019-01-04 阿里巴巴集团控股有限公司 Processing method, device and the block chain data-storage system of policy information
CN110149361A (en) * 2019-04-02 2019-08-20 众安信息技术服务有限公司 A kind of Internet service operating process retrogressive method, system and device
CN110489313A (en) * 2019-07-04 2019-11-22 平安科技(深圳)有限公司 Operation log recording method, device and storage medium based on block chain
CN110555780A (en) * 2019-09-09 2019-12-10 腾讯科技(深圳)有限公司 insurance data processing method, device and equipment based on block chain and storage medium

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112818380A (en) * 2020-07-10 2021-05-18 支付宝(杭州)信息技术有限公司 Method, device, equipment and system for backtracking processing of business behaviors
EP3937525A1 (en) * 2020-07-10 2022-01-12 Alipay (Hangzhou) Information Technology Co., Ltd. Methods, apparatuses, devices and systems for backtracking service behavior
US11362840B2 (en) 2020-07-10 2022-06-14 Alipay (Hangzhou) Information Technology Co., Ltd. Methods, apparatuses, devices and systems for backtracking service behavior
US11501322B2 (en) 2020-08-21 2022-11-15 Alipay (Hangzhou) Information Technology Co., Ltd. Blockchain-based data processing systems, methods, and apparatuses
CN111967062A (en) * 2020-08-21 2020-11-20 支付宝(杭州)信息技术有限公司 Data processing system, method and device based on block chain
CN112039972A (en) * 2020-08-26 2020-12-04 支付宝(杭州)信息技术有限公司 Service processing method, device and equipment
CN112039971A (en) * 2020-08-26 2020-12-04 支付宝(杭州)信息技术有限公司 Data recording method and device, and data storage method and device
CN112039971B (en) * 2020-08-26 2023-11-24 蚂蚁胜信(上海)信息技术有限公司 Data recording method and device, and data storage method and device
CN112039972B (en) * 2020-08-26 2023-10-27 蚂蚁胜信(上海)信息技术有限公司 Service processing method, device and equipment
CN112231517A (en) * 2020-11-04 2021-01-15 支付宝(杭州)信息技术有限公司 Data query method and device
CN112182473A (en) * 2020-12-01 2021-01-05 未鲲(上海)科技服务有限公司 Page operation behavior playback method and device, computer equipment and storage medium
WO2022142315A1 (en) * 2021-01-04 2022-07-07 深圳壹账通智能科技有限公司 Video processing method and apparatus, electronic device, and storage medium
CN112333549B (en) * 2021-01-04 2021-05-18 深圳壹账通智能科技有限公司 Video processing method and device, electronic equipment and storage medium
CN112333549A (en) * 2021-01-04 2021-02-05 深圳壹账通智能科技有限公司 Video processing method and device, electronic equipment and storage medium
CN116862677A (en) * 2023-09-04 2023-10-10 湖北微模式科技发展有限公司 Internet transaction traceable method and system with checking function

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