CN106202440B - Data processing method, device and equipment - Google Patents

Data processing method, device and equipment Download PDF

Info

Publication number
CN106202440B
CN106202440B CN201610552692.XA CN201610552692A CN106202440B CN 106202440 B CN106202440 B CN 106202440B CN 201610552692 A CN201610552692 A CN 201610552692A CN 106202440 B CN106202440 B CN 106202440B
Authority
CN
China
Prior art keywords
business
data
service
target
software
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610552692.XA
Other languages
Chinese (zh)
Other versions
CN106202440A (en
Inventor
潘瑜
秦晋
陈莉
吴丽丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Priority to CN201610552692.XA priority Critical patent/CN106202440B/en
Publication of CN106202440A publication Critical patent/CN106202440A/en
Application granted granted Critical
Publication of CN106202440B publication Critical patent/CN106202440B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; 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
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/252Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • GPHYSICS
    • G06COMPUTING; CALCULATING; 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
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases

Abstract

The embodiment of the invention provides a data processing method, a data processing device and data processing equipment. The data processing method provided by the invention comprises the following steps: the server determines a service object related to the completed service target according to the service target and determines a data table related to the service object related to the completed service target; determining the information of the control of the point to be buried according to the data table; embedding points in the software according to the information of the control to be embedded; and collecting data corresponding to the buried points. The information accuracy of the to-be-buried point control is higher, so that the acquired data corresponding to the buried point can be more accurate, and the accuracy of data analysis is ensured.

Description

data processing method, device and equipment
Technical Field
the present invention relates to data processing technologies, and in particular, to a data processing method, apparatus, and device.
Background
The data of the user in the software using process can help a data analyst to find factors for improving the software competitiveness under the current business target, such as improving the operation efficiency and finding problems in the software. Therefore, comprehensive and accurate user behavior data under the current business target are obtained, convenience can be provided for subsequent data analysis, and the data analysis is more accurate.
In the data analysis process, a data analyst usually proposes data to be acquired based on a business target, and submits the data to a developer to perform software point burying according to the data to be acquired so as to acquire the data, and then the data analyst performs analysis by using the acquired data. Then, factors such as personal experience of a data analyst, a viewing angle, familiarity with the business field, and the like determine the accuracy of the collected data, and factors such as understanding degree of the data to be collected by a developer also determine the accuracy of the buried point position. That is, in the current data analysis process, the embedded point control information is determined by the developer based on the data to be collected, which is proposed by the data analyst.
therefore, due to some human subjective factors of data analysts and developers, the accuracy of the acquired data is not high, and therefore, the effect of analyzing the data based on the data to be acquired is poor.
Disclosure of Invention
the embodiment of the invention provides a data processing method, a data processing device and data processing equipment, which are used for improving the accuracy of acquired data and improving the accuracy of data analysis.
in one aspect, an embodiment of the present invention provides a data processing method, including:
determining a service object related to the completed service target according to the service target, determining a data table related to the service object related to the completed service target, and then determining information of the to-be-buried point control according to the data table;
and embedding points in the software according to the determined information of the control to be embedded, and acquiring data corresponding to the embedded points.
In the method, the information of the control piece of the point to be buried is determined according to the data table corresponding to the business object related to the completion of the business target, the business object related to the completion of the business target is completed, and the data table related to the business object is determined by the objective characteristics of software, so that the information of the control piece of the point to be buried is not influenced by the subjective factors of developers and/or data analysts, and therefore, the accuracy of the information of the control piece of the point to be buried is higher for realizing the business target, the collected data corresponding to the buried point can be more accurate, and the accuracy of data analysis is ensured.
In an implementation manner, before the information of the embedded point control part corresponding to the target is determined according to the business target, in the method, the business target can be determined according to a received keyword of the information input by the user.
In another implementation manner, determining, according to the service objective, a service object involved in completing the service objective may include:
and searching a business object related to the completion of the business target from a logic model of the software acquired in advance according to the business target, wherein the logic model defines the relation between the business object related to each software function of the software and the business object.
The method can find out the business object related to the completion of the business target from the logic model of the software according to the business target, so that the business object related to the completion of the business target is more relevant to the business target, the logic model of the software is an objective characteristic of the software, and the accuracy of a data table related to the business object can be ensured, so that the information of a control to be buried is ensured not to be influenced by subjective factors of developers and/or data analysts, the accuracy of the information of the control to be buried is higher, the accuracy of the collected data corresponding to the buried point is improved, and the accuracy of data analysis is improved.
In another implementation, finding a business object involved in completing the business objective from the logical model of the software according to the business objective may include:
And determining the similarity between the business target and each business object according to the business target and the business object information in the logic model, and determining the business object with the highest similarity from the logic model as the business object related to completing the business target according to the similarity between the business target and each business object.
in yet another implementation, the business object information includes: business object names and/or attributes.
In yet another implementation, determining a data table associated with a business object involved in completing a business objective may include:
And acquiring data tables related to the business objects related to the completed business target from a pre-acquired physical model of the software, wherein the physical model defines the data tables related to each business object in the logic model and the relationship between the data tables in a database.
According to the method, the data sheet related to the business object related to the business target can be obtained from the physical model of the software according to the business target, and the physical model of the software is also the objective characteristic of the software, so that the accuracy of the data sheet related to the business object related to the business target can be ensured, the information of the control to be buried is ensured not to be influenced by the subjective factors of developers and/or data analysts, the accuracy of the information of the control to be buried is higher, the accuracy of the collected data corresponding to the buried point is improved, and the accuracy of data analysis is improved
In yet another implementation, obtaining, from the physical model of the software, a data table associated with a business object involved in completing the business objective may include:
Clustering the service objects related to the completed service target to generate tasks corresponding to each class of service objects; and acquiring a data table related to the business object related to the completed business target from the physical model of the software by taking the task as a unit.
The method generates tasks corresponding to each class of business objects by clustering the business objects related to the completion of the business objects, can realize the decomposition of the business objects, and divides the business objects into at least one task, so that the completion of the business objects related to the business objects can comprise: the business object related to each task of the business target; the data table related to the business object related to each task for completing the business target is obtained from the physical model of the software by taking each task as a unit, so that for the same task existing in other business targets and related to the business target, the data table related to the business object related to the same task does not need to be determined from the physical model again, and the data table related to the business object related to the same task and the control using the data table only need to be obtained from pre-stored information, so that the data processing process aiming at the business targets with the same task is simplified, and the data processing efficiency is improved.
In another implementation manner, clustering the service objects related to completing the service objective to generate a task corresponding to each class of service object may include:
Clustering the service objects related to the completed service targets according to the similarity between the service objects related to the completed service targets to generate tasks corresponding to each type of service objects; wherein, the similarity between each class of business objects is the highest.
In another implementation manner, the determining information of the to-be-buried point control according to the data table may include:
and determining the control using the data table as the control of the point to be buried from the current page according to the data table and the current page code of the software, and acquiring the information of the control of the point to be buried.
According to the method, a control using the data table is determined to be a to-be-buried point control from the current page according to the data table and the current page code of the software, and the data table and the current page code of the software are determined by the objective characteristics of the software, so that the accuracy of the determined information of the to-be-buried point control is higher, the acquired data corresponding to the buried point is more accurate, and the accuracy of data analysis is improved.
In yet another implementation, the information of the to-be-buried point control includes at least one of an identification, a name, and a path of the to-be-buried point control.
in yet another implementation, the method further comprises:
And determining system data corresponding to the business target according to the system information related to the control using the data table.
In yet another implementation, collecting data corresponding to buried points includes: and collecting at least one of user behavior data corresponding to the buried point and system data corresponding to the business target.
On the basis of any one of the data processing methods, the method can acquire user behavior data corresponding to the embedded point and/or system data corresponding to the business target, so that the acquired data corresponding to the embedded point is more complete and complete without being limited to the user data corresponding to the page, and the accuracy of data analysis is ensured.
on the other hand, the invention also provides a data processing device which has the function of realizing the server in the embodiment of the method. The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules (e.g., a first determining module, a second determining module, a third determining module, a buried point module, an acquisition module, etc.) corresponding to the above-described functions.
In one possible design, the hardware structure of the apparatus includes a processor and a memory, the memory is used for storing application program codes supporting the apparatus to execute the method, and the processor is configured to execute the application program stored in the memory, so that the processor executes any one of the data processing methods. The apparatus may also include a communication interface for the apparatus to communicate with other devices or a communication network.
In yet another aspect, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for the server, which includes a program designed for the server to execute the above aspects.
The data processing method, the device and the equipment provided by the embodiment of the invention can determine the control part related to the completion of the business target, namely the to-be-buried point control part, by analyzing the data of the software (the business object in the software, the data table corresponding to the business object and the like). The business object related to the completion of the business target and the data table related to the business object are determined by the objective characteristics of the software, so that the information of the control piece of the point to be buried is not influenced by the subjective factors of developers and/or data analysts, the accuracy of the information of the control piece of the point to be buried is higher for realizing the business target, the acquired data corresponding to the buried point can be more accurate, and the accuracy of data analysis is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a data acquisition system to which the present invention is applicable;
Fig. 2 is a flowchart of a data processing method according to an embodiment of the present invention;
Fig. 3 is a flowchart of a method for determining a service target in a data processing method according to a second embodiment of the present invention;
Fig. 4 is a flowchart of a method for determining a service object in a data processing method according to a second embodiment of the present invention;
Fig. 5 is a flowchart of a method for determining a data table corresponding to a service object in a data processing method according to a second embodiment of the present invention;
Fig. 6 is a flowchart of a method for determining information of a buried point control element in a data processing method according to a second embodiment of the present invention;
Fig. 7 is a flowchart of a data processing method according to a third embodiment of the present invention;
fig. 8A is a schematic view of a business object relationship of a first business object set related to a "product" in a business target in a data processing method according to a third embodiment of the present invention;
Fig. 8B is a schematic diagram of a business object relationship of a second business object set related to a "product" in a business target in the data processing method according to the third embodiment of the present invention;
fig. 8C is a schematic view of a service object of a third set of service objects related to a "product" in a service object in the data processing method according to the third embodiment of the present invention;
Fig. 9 is a schematic diagram of a business object relationship of a business object set related to "sales product" in a business target in the data processing method according to the third embodiment of the present invention;
fig. 10 is a schematic diagram of a relationship between business objects involved in a task "business handling" in a data processing method according to a third embodiment of the present invention;
Fig. 11A is a relationship diagram of a data table related to a business object related to a task "business handling" in a data processing method according to a third embodiment of the present invention;
Fig. 11B is a relationship diagram of another data table related to a business object related to a task "business handling" in a data processing method according to a third embodiment of the present invention;
fig. 12 is a schematic structural diagram of a control in a current interface in a data processing method according to a third embodiment of the present invention;
Fig. 13 is a schematic structural diagram of a data processing apparatus according to a fourth embodiment of the present invention;
Fig. 14 is a schematic structural diagram of a data processing apparatus according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
the data processing method, the device and the equipment provided by the embodiments of the invention can be applied to a data acquisition system. Fig. 1 is a schematic structural diagram of a data acquisition system to which the present invention is applied. As shown in FIG. 1, the data collection system 100 may include a data collection server 101 and an application server 102. The data collection server 101 and the application server 102 may establish a communication connection in a wired or wireless manner to transmit information to each other. The application server 102 may be an application server corresponding to software to be collected. It should be noted that, other devices connected to the data acquisition server 101 and/or the application server 102, such as a terminal device, may also be included in the data acquisition system 100, and may receive information input by a user and transmit the information to the data acquisition server 101 and/or the application server 102. The data processing method provided by the embodiments of the present invention described below can be implemented by the data acquisition server 101 or the application server 102 in the data acquisition system 100 shown in fig. 1.
The embodiment of the invention provides a data processing method. Fig. 2 is a flowchart of a data processing method according to an embodiment of the present invention. As shown in fig. 2, the data processing method may include:
s201, the server determines to finish the business object related to the business target according to the business target.
specifically, the server may be the data acquisition server 101 or the application server 102 in the data acquisition system 100 as in 1. The software to be collected may include business objects involved in implementing the functions of the software. The business objective can be realized by the function of the software, and in order to realize the business objective, the business object related to the software function is needed to be related.
S202, the server determines a data table related to the business object related to the completion of the business target.
in particular, the data tables and/or data items associated with the business object can be used to store data associated with the business object.
and S203, the server determines the information of the point control to be buried according to the data table.
Specifically, in S203, a control using the data table may be determined from the interface of the software according to the data table and the interface code of the software, the control using the data table is determined to be a to-be-buried point control, and information of the to-be-buried point control is acquired.
and S204, the server buries the points of the software according to the information of the control to be buried.
Specifically, in S204, a buried point code may be generated according to the information of the to-be-buried point control, and the buried point code is implanted into the software, so as to implement the buried point of the software.
S205, the server collects data corresponding to the buried point.
Specifically, in S205, the control corresponding to the embedded point may be monitored through the embedded point, the user behavior operation of the control corresponding to the embedded point is detected, and then data related to the user behavior operation is collected. The user behavior operation may include an operation of a user at a control corresponding to the buried point on the interface, such as click (onclick), input (input), touch (ontouch), and the like.
the data processing method provided by the embodiment of the present invention may determine the control related to completing the business objective by analyzing data of the software (e.g., a business object in the software and a data table corresponding to the business object). The business object related to the completion of the business target and the data table related to the business object are determined by the objective characteristics of the software, so that the information of the control piece of the point to be buried is not influenced by the subjective factors of developers and/or data analysts, the accuracy of the information of the control piece of the point to be buried is higher for realizing the business target, the acquired data corresponding to the buried point can be more accurate, and the accuracy of data analysis is ensured.
in addition, the information accuracy of the to-be-buried point control is high, so that the acquired data corresponding to the buried point can be more accurate, and therefore, in order to ensure an accurate data analysis result, the method can also avoid repeated buried point and repeated data analysis caused by low information accuracy of the to-be-buried point control, reduce the number of times of buried point and data analysis in the data analysis process and improve the efficiency of data analysis.
Optionally, the second embodiment of the present invention may further provide a data processing method. Fig. 3 is a flowchart of a method for determining a service objective in a data processing method according to a second embodiment of the present invention. As shown in fig. 3, before the server determines, according to the business objective in S201 in the foregoing embodiment, to complete the business object related to the business objective, the method may include:
S301, the server receives information input by the user.
Specifically, the S301 may receive information input by the user through a user interface.
S302, the server determines the business target according to the key words of the information input by the user.
Specifically, in S302, the keywords of the input information may be obtained by extracting the keywords of the input information according to a Natural Language Processing (NLP) technique, and the business target may be determined according to the keywords of the input information. If the keywords of the input information include at least one keyword, a business objective may be determined according to each keyword in the method, that is, the business objective determined according to the keywords of the input information may include at least one business objective. For example, if the input information is "shorten the time for opening an account of the user", the NLP technique is used to extract the keywords of the input information, so as to obtain at least one keyword, such as "user", "open an account" and "time". In the method, for example, the service target may include: at least one keyword such as "user", "open account transaction" and "time".
As described above, in S302, keyword expansion may be performed according to the keywords of the input information and the vocabulary library in the technical field of the software, so as to obtain the vocabulary set corresponding to each keyword, and then determine the service target according to the vocabulary in the vocabulary set corresponding to each keyword. The vocabulary library in the technical field of the software can comprise: the vocabulary corresponding to at least one keyword in the technical field of the software. The vocabulary set corresponding to each keyword may include: at least one vocabulary of each keyword in the technical field of the software.
for example, if the keywords of the inputted information include: the software belongs to the technical field of Customer Relationship Management (CRM) systems. According to the keyword "account opening" and the vocabulary library in the CRM field, a vocabulary set corresponding to the keyword "account opening" can be obtained, wherein the vocabulary set corresponding to the keyword "account opening" can include, for example: the words of service, product and sales product.
Optionally, the second embodiment of the present invention further provides a data processing method. Fig. 4 is a flowchart of a method for determining a business object in a data processing method according to a second embodiment of the present invention. As shown in fig. 4, in S201 in the above embodiment, determining, by the server, the business object involved in completing the business objective according to the business objective may include:
s401, the server obtains a logic model of the software, and the logic model defines a business object related to each software function of the software and a relation between the business objects.
In the method, a HyperText markup Language (HTML) file corresponding to the configuration file may be derived and determined according to the configuration file of the software, and a logic model of the software may be obtained from the HTML file corresponding to the configuration file. The configuration file of the software may be, for example, a configuration file generated during the software design development process.
the business object related to each software function may include at least one business object, each business object does not exist in isolation, and the relationship between the business objects may be a relationship required between the business objects in the process of implementing each software function. The business objects involved by each software function and the relationship between the business objects are absent, and each software function is difficult to realize.
S402, the server searches out the business object related to the completion of the business target from the logic model of the software according to the business target.
Specifically, in S402, the business object may be matched with each business object in the logic model of the software, so as to find the business object involved in completing the business object.
Optionally, the step S402 of finding out the service object related to completing the service object from the logic model of the software according to the service object may include:
The server determines the similarity between the business target and each business object according to the business target and the business object information in the logic model;
and the server determines the service object with the highest similarity from the logic model as the service object related to the completion of the service target according to the similarity between the service target and each service object.
optionally, the service object information includes: business object names and/or attributes.
the method may be that the business target is respectively matched with the information of each business object in the logic model, so as to determine the matching degree of the business target and the information of each business object, and determine the similarity of the business target and each business object according to the matching degree. Determining the business object with the highest similarity in the logical model may include: and the service object information in the logic model is the same as the service object of the service target. The method can also determine the business object associated with the business object with the highest similarity as the business object related to the completion of the business target. That is, the business objects involved in completing the business objective may include: the business object with the highest similarity; alternatively, the business object involved in completing the business objective may also include: the business object with the highest similarity, and the business object associated with the business object with the highest similarity.
for example, if the expanded vocabulary library corresponding to the keyword "account opening" in the input information includes: the words such as "service", "product", "sales article" and the like, the business target may include the words such as "service", "product", "sales article" and the like. The business object involved in completing the business objective may then include: the business object with the highest vocabulary similarity with the business target, and the business object associated with the business object with the highest vocabulary similarity. Taking the word "product" as an example, the method may obtain, from the logical model of the software, the business object with the highest similarity to the word "product" as the business object "product", and may also obtain the business objects associated with the business object "product", such as "combined product selection rule", "product identifier", "product inventory item mapping relation", "product service mapping relation", and "combined product selection rule", etc. For other words in the business target, the business object with the highest similarity to the other words and the business object associated with the business object with the highest similarity to the other words and phrases may be obtained from the logic model of the software in a manner similar to the word "product", and the specific implementation process is not described herein again.
According to the method, the business object related to the completion of the business target can be found out from the logic model of the software according to the business target, so that the business object related to the completion of the business target is more relevant to the business target, the logic model of the software is an objective characteristic of the software, and the accuracy of a data table related to the business object can be ensured, so that the information of a control to be buried is ensured not to be influenced by subjective factors of developers and/or data analysts, the accuracy of the information of the control to be buried is higher, the accuracy of the collected data corresponding to the buried point is improved, and the accuracy of data analysis is improved.
Optionally, the second embodiment of the present invention further provides a data processing method. Fig. 5 is a flowchart of a method for determining a data table corresponding to a service object in a data processing method according to a second embodiment of the present invention. As shown in fig. 5, in the above embodiment, the step of determining, by the S202 server, the data table related to the business object involved in completing the business target may include:
S501, the server obtains a physical model of the software, and the physical model defines data tables related to each business object in the logic model and relations among the data tables in a database.
In the method, an HTML file corresponding to the configuration file may be exported and determined according to the configuration file of the software, and the physical model of the software may be obtained from the HTML file corresponding to the configuration file.
S502, the server obtains a data table related to the business object related to the completion of the business target from the physical model of the software.
specifically, in S502, each business object related to the completion of the business objective may be respectively matched with each data table in the physical model of the software, so as to obtain a data table related to each business object related to the completion of the business objective.
According to the method, the data sheet related to the business object related to the business target can be obtained from the physical model of the software according to the business target, and the physical model of the software is also an objective characteristic of the software, so that the accuracy of the data sheet related to the business object related to the business target can be ensured, the information of the to-be-buried point control is ensured not to be influenced by subjective factors of developers and/or data analysts, the accuracy of the information of the to-be-buried point control is higher, the accuracy of the collected data corresponding to the buried point is improved, and the accuracy of data analysis is improved.
optionally, as described above, the step of obtaining, by the server from the physical model of the software in S502, the data table related to the business object related to the completion of the business target may include:
The server clusters the business objects related to the completed business target to generate tasks corresponding to each class of business objects;
And the server acquires a data table related to the business object related to the completion of the business target from the physical model of the software by taking the task as a unit.
Specifically, in the method, the task corresponding to each class of service object may be generated by clustering the service objects related to the completion of the service object, so as to decompose the service object, and divide the service object into at least one task, where the completion of the service object related to the service object may include: the business objects involved in the tasks of the business target. According to the method, each task is taken as a unit, a data table related to a business object related to each task for completing the business target is obtained from a physical model of the software, the data table related to the business object related to each task can be stored, and information of a control using the data table is stored, so that for the same task existing with the business target in other business targets, the data table related to the business object related to the same task does not need to be determined from the physical model again, and the data table related to the business object related to the same task and the control using the data table only need to be obtained from pre-stored information, so that a data processing process aiming at the business target with the same task is simplified, and data processing efficiency is improved.
Optionally, the second embodiment of the present invention further provides a data processing method. Fig. 6 is a flowchart of a method for determining information of a buried point control element in a data processing method according to a second embodiment of the present invention. As shown in fig. 6, in the above embodiment, the determining, by the server according to the data table, information of the to-be-buried point control by the server in S203 may include:
s601, the server determines a control using the data table as the to-be-buried point control from the current page according to the data table and the current page code of the software.
specifically, the current page code of the software may be a code of a current page in the interface code of the software. The current page may be a page corresponding to the user input information, such as an account opening page. In S601, each control of the current page may be determined according to the current page code of the software, and the control with the highest similarity to the data table is determined as the control using the data table according to the data table and matching with each control. For example, if the data table includes: the data item 'customer identification' in the data table has the highest similarity with the control 'certificate number' in the current page, and the data item 'customer identification' is matched with the control 'certificate number' in the current page, so that the control using the data table can be the control 'certificate number' in the current page.
S602, the server obtains the information of the control of the point to be buried.
Optionally, the information of the to-be-buried point control includes at least one of: the Identity (Identity), name (name) and path of the to-be-buried point control. The name of the to-be-buried point control element may be a unique identifier of the to-be-buried point control element in an transliterated script language, which may be, for example, java script.
According to the method, the control using the data table is determined to be the point-to-be-buried control from the current page according to the data table and the current page code of the software, and the data table and the current page code of the software are determined by the objective characteristics of the software, so that the accuracy of the acquired information of the point-to-be-buried control is higher, the acquired data corresponding to the buried point is more accurate, and the accuracy of data analysis is improved.
Optionally, the method further includes:
and the server determines the system data corresponding to the business target according to the system information related to the control using the data table.
Wherein, the system information related to the control using the data sheet comprises: and using the interactive information between the client equipment where the software is located and the application server corresponding to the control of the data table.
Optionally, the acquiring, by the server in S205, data corresponding to the buried point may include:
and the server acquires user behavior data corresponding to the buried point and/or system data corresponding to the business target.
on the basis of any one of the data processing methods, the method can acquire user behavior data corresponding to the embedded point and/or system data corresponding to the business target, so that the acquired data corresponding to the embedded point is more complete and complete without being limited to the user data corresponding to the page, and the accuracy of data analysis is ensured.
The third embodiment of the invention also provides a data processing method. The method may be implemented by specific examples to describe any of the data processing methods described in the above embodiments. Fig. 7 is a flowchart of a data processing method according to a third embodiment of the present invention. As shown in fig. 7, the method may include:
S701, the server determines the keywords of the information input by the user.
For example, if the input information is "shortening the time for opening an account of the user", keywords of the input information such as "user", "opening an account", and "time" can be obtained by extracting the keywords of the input information using NLP technology.
S702, the server expands the keywords of the input information, obtains a vocabulary set corresponding to the keywords of the input information, and determines a business target according to each vocabulary in the vocabulary set.
If the software is CRM software, in S702, each keyword of the input information may be expanded by using a domain vocabulary library of the CRM software according to the keyword of the input information, so as to obtain a vocabulary set corresponding to each keyword. For example, taking the keyword "account opening" as an example, the vocabulary set corresponding to the keyword "account opening" may include: the words of service, product and sales product.
And S703, the server obtains a service object related to the completion of the service target from a logic model of software acquired in advance according to the service target.
the business target may include each vocabulary in the vocabulary set corresponding to each keyword. The logical model of the software may include a logical model of at least one domain. In S703, according to the service objective, a service object related to the completion of the service objective in each domain is determined in the logic model of each domain of the software, and the service objects related to the completion of the service objective in different domains are associated.
taking a CRM software system as an example, the logical model of CRM software may include, for example: a product domain logic model, a promotion domain logic model, a partner domain logic model, a customer domain logic model, and a customer profile public domain logic model. Taking the "product" in the business object as an example, the first set of business objects involved in the "product" in the business object can be obtained from the product domain logical model of the software in the method. Fig. 8A is a schematic diagram of a business object relationship of a first business object set related to a "product" in a business target in a data processing method according to a third embodiment of the present invention. As shown in fig. 8A, the first set of business objects may include: the business object "product" and the business objects associated with the business object "product" are "combined product selection rule", "product identification code", "product inventory item mapping relation", "product service mapping relation", and "combined product selection rule", etc. In fig. 8A, the business object "product" is in one-to-one correspondence with the business object "combined product selection rule", the business object "product inventory item mapping relationship", the business object "product service mapping relationship", and the business object "product content mapping relationship", respectively. The business object "product" and the business object "product identification code" are in a one-to-many relationship, that is, one business object "product" may correspond to a plurality of business objects "product identification codes".
Continuing with the example of "product" in the business objective, a second set of business objects referred to by "product" in the business objective can also be obtained from the software's promotional domain logical model in the method. Fig. 8B is a schematic diagram of a business object relationship of a second business object set related to a "product" in a business target in the data processing method according to the third embodiment of the present invention. As shown in FIG. 8B, the second set of business objects can include the business object "product," as well as business objects associated with the business object "product," such as "sales and product relationships," and the like. In fig. 8B, the business object "product" and the business object "sales and product relationship" are in a one-to-many relationship, that is, one business object "product" may correspond to a plurality of business objects "sales and product relationships".
By adopting the similar method, the business objects related to other vocabularies in the business target can be obtained, and the details are not repeated herein.
that is, the business objects involved in the "product" in the business objective may include, for example, a first set of business objects as shown in FIG. 8A above, and each business object in a second set of business objects as shown in FIG. 8B.
Since the business object related to the "product" in the business target may include a plurality of business object sets, the method may further associate the first business object set and the second business object set with an overlapping business object in the first business object set and the second business object set as a center, thereby obtaining a third business object set related to the "product" in the business target. Fig. 8C is a schematic diagram of a business object relationship of a third business object set related to a "product" in a business target in the data processing method according to the third embodiment of the present invention. As can be seen from the first object set shown in fig. 8A and the second object set shown in fig. 8B, the overlapping business objects in the first object set and the second object set may be business objects "products", in the method, the first business object set and the second business object set may be associated with a business object "product" as a center, so as to obtain a third business object set related to "product" in the business object shown in fig. 8C, where the third business object set may include: all business objects referred to by the "product" in the business objective.
Taking "sales products" in the business target as an example, the method can obtain the business object set related to the "sales products" in the business target from the product domain logic model of the software. Fig. 9 is a schematic diagram of a business object relationship of a business object set related to "sales product" in a business target in the data processing method according to the third embodiment of the present invention. As shown in FIG. 9, the set of business objects involved in the "sales" in the business objective may include: the business object "sales article", and the business object associated with the business object "sales article structure" such as "sales article structure", "sales article package selection rule", and the like. In fig. 9, the business object "sales product" has a one-to-many relationship with the business object "sales product structure" and the business object "sales product package selection rule", that is, one business object "sales product" may correspond to a plurality of business objects "sales product structures" and a plurality of business objects "sales product package selection rules".
s704, clustering the service objects related to the completed service target by the server, and determining the task of each type of service object.
Specifically, in S704, the business objects related to the completion of the business objective may be clustered according to the name and/or the attribute of the business object related to the completion of the business objective, and the task of each class of business object may be determined.
With the above example, because the similarity between the name and the attribute of the business object related to the business target "product" and the business target "sales product" is high, the business object related to the business target "product" and the business target "sales product" in the business objects related to the business target can be determined as a class of business objects. The class of business objects may correspond to a task.
executing a similar mode to the keyword 'account opening' for the keywords 'user', 'account opening transaction' and 'time' of the input information respectively, determining an expanded vocabulary library of the keyword, then determining a business target according to the vocabulary in the expanded vocabulary library of each keyword, and then executing S704 to cluster the business objects related to the completion of the business target, so as to obtain at least one task, such as 'customer information', 'product/sales product/service' and 'business transaction', for completing the business target.
For example, a task "business handling" is taken as an example for explanation, and business objects related to the task "business handling" are business objects of the same class, and the similarity between the business objects of the same class is the highest. Fig. 10 is a schematic relationship diagram of business objects involved in a task "business handling" in a data processing method according to a third embodiment of the present invention. The business objects involved in the task "business transaction" shown in FIG. 10 may include: the service object 'service interaction log relation table' and the service object 'service interaction log information'. The service object service interaction log relation table and the service object service interaction log information are service objects of the same class. The service object 'service interaction log relation table' and the service object 'service interaction log information' are in a many-to-one relation, that is, a plurality of service objects 'service interaction log relation tables' can correspond to one service object 'service interaction log information'.
s705, the server determines a data table related to the business object related to the completion of the business target from the pre-acquired physical model by taking the task as a unit.
Before executing S705, the method may further prompt the user for at least one task of the business objective. Upon receiving a confirmation message for at least one task of the business target input by the user, the party may perform S705. If a modification message for at least one task of the business target is received, the steps S701 to S704 may be performed in sequence using the modification message as information input by the user.
in S705, a subgraph query may be performed in the physical model according to the business object related to each task, so as to obtain a data table related to the business object related to each task.
Continuing to take the task of "business handling" as an example, the method may be to perform sub-graph query in the physical model according to the business object involved in the task of "business handling" so as to obtain the data table related to the business object involved in the task of "business handling". Fig. 11A is a relationship diagram of a data table related to a business object related to a task "business handling" in a data processing method according to a third embodiment of the present invention. The data table "service interaction relation table" shown in fig. 11A is obtained by querying the physical model according to the name and attribute of the service object "service interaction log relation table" in the service object involved in the task "service transaction" shown in fig. 10; the data table "service interaction log information" shown in fig. 11A is obtained by querying the physical model according to the name and attribute of the service object "service interaction log information" in the service object related to the task "service transaction" in fig. 10. The data table "service interaction relation table" in fig. 11A may be a main table, and the data table "service interaction log information" may be a sub-table of the data table "service interaction relation table". Wherein the attributes of the business object may include data items in the business object.
The method can also find another data table related to the business object involved in the task "business handling" from the physical model according to the nodes and attributes of the data tables in fig. 11A. Wherein, the attribute of the data table may include each data item of the data table. Fig. 11B is a relationship diagram of another data table related to a business object related to a task "business handling" in a data processing method according to a third embodiment of the present invention. Taking the data table "service interaction log information" in fig. 11A as an example, the method may further search another data table related to the service object related to the task "service handling" from the physical model according to the name and the attribute of the data table "service interaction log information" in fig. 11A. The name of the data table "service interaction log information" may be "service interaction log information", for example. The attributes of the data table "service interaction log information" may include, for example: data items of 'service interaction record identification' and 'attribution participant role type' and the like.
Another data table related to the service object related to the task "service transaction" may include, for example, a data table "service acceptance table", a data table "service acceptance details", a data table "service acceptance record", a data table "sponsor information", a data table "acceptance log offline inquiry table", a data table "acceptance fee payment table", a data table "cell broadband access capability survey", a data table "service transaction data change log table", and the like as shown in fig. 11B.
Since the data table related to the business object related to each task includes a plurality of data tables, in the method, the plurality of data tables can be merged to obtain all the data tables related to the business object related to each task.
it should be noted that, for other tasks, the method may obtain the data table related to the service object related to the other task in a manner similar to task "service handling", and details are not described here.
s706, the server determines a control using the data table from the current page according to the data table and the current page code of the software.
Specifically, in S706, the controls in the current page may be obtained according to the current page code of the software, matching is performed according to the data table and the names or attributes of the controls in the current page, and the control with the highest similarity to the data table is determined as the control using the data table.
And if the current page is an account opening page, obtaining each control in the current page according to the current page code of the software. Fig. 12 is a schematic structural diagram of a control in a current interface in a data processing method according to a third embodiment of the present invention. As shown in fig. 12, the account opening page may include, for example: the system comprises a network access control, a client information control, a package selection control, a number selection control, a Subscriber Identity Module (SIM) card information control, a user information control, a value-added commodity control, a personality setting control and a settlement control.
In order to reduce the matching range of the controls in the current page, the controls in the page can be divided into a plurality of types, such as a "customer information" type control, a "product selection" type control, a "user setting" type control and a "confirmation" type control. Among these, "customer information" class controls may include, for example: a network access control and a client information control; the "product selection" class controls may include, for example: selecting a package control, a number selection control, an SIM card information control, a user information control, a value-added commodity control and the like; the "user setup" class controls may include, for example: a personality setting control; the "confirm" class controls may include, for example: and (5) a settlement control.
the method can be used for matching the name and the attribute of each type of control according to the data table related to the business object related to each task, and determining the control using the data table so as to reduce the matching range of the control and the data table.
and S707, the server acquires the information of the control of the point to be buried, and determines the system data corresponding to the service target according to the system information related to the control using the data table.
If the control using the data table is the package selection control in the "product selection" control in fig. 12, the method may be to use the package selection control in the "product selection" control in fig. 12 as the control of the to-be-buried point, determine information of the to-be-buried point control according to at least one of the identifier, the name, the path, and the like of the package selection control in the "product selection" control in fig. 12, and determine system information related to the package selection control in the "product selection" control in fig. 12 as system data.
and after the duplication removal operation is carried out on the information and the system data of the point control to be buried corresponding to each task, the information and the system data of the point control to be buried corresponding to all the tasks of the business target can be obtained.
And S708, the server buries the point of the software according to the information of the point to be buried control.
Specifically, in S708, a buried point code may be generated according to the information of the to-be-buried point control and the system data corresponding to the service target, and the buried point code is implanted into the software to realize the buried point of the software, so as to collect data.
S709, the server collects user behavior data corresponding to the buried point and system data corresponding to the business target.
the data processing method provided by the third embodiment of the present invention can be described in the above embodiments by specific examples, and the beneficial effects thereof are similar to those of the above embodiments and are not described herein again.
the fourth embodiment of the invention also provides a data processing device. Fig. 13 is a schematic structural diagram of a data processing apparatus according to a fourth embodiment of the present invention. The data processing apparatus 1300 may be integrated in the server by means of software and/or hardware, so that the server executes the data processing method executed by the server according to any one of the first to third embodiments. As shown in fig. 13, the data processing apparatus 1300 may include: a first determination module 1301, a second determination module 1302, a third determination module 1303, a buried point module 1304, and an acquisition module 1305.
The first determining module 1301 is configured to determine, according to a service objective, a service object related to the service objective.
A second determining module 1302, configured to determine a data table related to a business object involved in completing the business object.
And a third determining module 1303, configured to determine information of the to-be-buried point control according to the data table.
and a point burying module 1304, configured to bury points in the software according to the information of the point burying control.
The collecting module 1305 is configured to collect data corresponding to the buried point.
Optionally, the data processing apparatus 1300 further includes:
and the receiving module is used for receiving the information input by the user.
And the fourth determining module is used for determining the business target according to the key words of the information input by the user.
optionally, the first determining module 1301 may include:
The first obtaining unit is used for obtaining a logic model of the software, and business objects related to each software function of the software and the relation between the business objects are defined in the logic model.
and the first searching unit is used for searching the business object related to the completion of the business target from the logic model of the software according to the business target.
Optionally, the first searching unit is specifically configured to determine, according to the service target and the service object information in the logic model, a similarity between the service target and each service object; and determining the service object with the highest similarity from the logic model as the service object related to the completion of the service target according to the similarity between the service target and each service object.
Optionally, the second determining module 1302 may include:
And the second acquisition unit is used for acquiring a physical model of the software, and the physical model defines a data table related to each business object in the logic model and a relation between the data tables in a database.
And the second searching unit is used for searching a data table related to the business object related to the completion of the business target from the physical model of the software.
Optionally, the second searching unit is specifically configured to cluster the service objects related to the completed service target, and generate a task corresponding to each class of service object; and acquiring a data table related to the business object related to the completion of the business target from the physical model of the software by taking the task as a unit.
optionally, the second searching unit is specifically configured to cluster the service objects related to the completed service target according to the similarity between the service objects related to the completed service target, and generate a task corresponding to each class of service object; wherein, the similarity between each class of business objects is the highest.
Optionally, the third determining module 1303 is specifically configured to determine, according to the data table and the current page code of the software, a control using the data table from the current page as a to-be-buried point control; and acquiring the information of the to-be-buried point control.
Optionally, the third determining module 1303 is further configured to determine system data corresponding to the service target according to the system information related to the control using the data table.
Optionally, the collecting module 1305 is specifically configured to collect user behavior data corresponding to the buried point and/or system data corresponding to the service target.
The data processing apparatus provided in the fourth embodiment of the present invention can be used to execute the data processing method described in any one of the first to third embodiments, and the specific implementation process and the beneficial effects are similar to those of the above embodiments and are not described herein again.
The fifth embodiment of the invention also provides data processing equipment. Fig. 14 is a schematic structural diagram of a data processing apparatus according to a fifth embodiment of the present invention. The data processing device 1400 may be a server, which may be the data acquisition server 101 or the application server 102 of the data acquisition system in fig. 1 described above. As shown in fig. 14, the data processing apparatus 1400 may include: a processor 1401, a memory 1402, a communication interface 1403, and a bus 1404; the processor 1401, the memory 1402, and the communication interface 1403 are connected by a bus 1404.
Memory 1402 is used to store instructions.
The processor 1401 is configured to execute instructions, which when executed by the processor 1401 are stored in the memory 1402, cause the processor 1401 to perform the data processing method performed by the server shown in any of fig. 2 to 7. For a specific data processing method, reference may be made to the related description in any one of the embodiments shown in fig. 2 to fig. 7, which is not described herein again.
The processor 1401 may be a Central Processing Unit (CPU). The processor 1401 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 1402 may include volatile Memory (volatile Memory), such as Random-Access Memory (RAM); the Memory 1402 may also include a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk Drive (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); memory 1402 may also include a combination of the above types of memory.
The communication interface 1403 may specifically be an interface circuit, which is used for receiving and sending signals in the process of sending and receiving information, and after receiving information sent by an external device, the communication interface 1403 processes the information to the processor 1401; in addition, communication interface 1403 may also communicate with a network and other devices via wireless communication.
The bus 1404 may include a data bus, a power bus, a control bus, a signal status bus, and the like. For clarity of illustration in this embodiment, the various buses are illustrated as a straight line in FIG. 14.
The data processing apparatus provided in the fifth embodiment of the present invention may be configured to execute the data processing method described in any one of the first to third embodiments, and specific implementation processes and beneficial effects are similar to those in the foregoing embodiments and are not described herein again.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (22)

1. a data processing method, comprising:
Determining a service object related to the completion of the service target according to the service target;
Determining a data table related to a service object related to the completion of the service target;
Determining the information of the point control to be buried according to the data table;
Embedding points in the software according to the information of the control to be embedded;
And collecting data corresponding to the buried points.
2. The method of claim 1, wherein before the determining, according to the business objective, the business object related to the business object is completed, the method further comprises:
Receiving information input by a user;
and determining the business target according to the keywords of the information input by the user.
3. the method of claim 1, wherein the determining the business object involved in completing the business objective according to the business objective comprises:
Acquiring a logic model of the software, wherein a business object related to each software function of the software and a relation between the business objects are defined in the logic model;
and searching a service object related to the completion of the service target from the logic model of the software according to the service target.
4. The method of claim 3, wherein the finding the business object involved in completing the business objective from the logical model of the software according to the business objective comprises:
Determining the similarity between the business target and each business object according to the business target and the business object information in the logic model;
And determining the service object with the highest similarity from the logic model as the service object related to the completion of the service target according to the similarity between the service target and each service object.
5. the method of claim 4, wherein the business object information comprises: business object names and/or attributes.
6. The method according to any of claims 3-5, wherein said determining a data table related to the business object involved in completing the business objective comprises:
Obtaining a physical model of the software, the physical model defining, within a database, data tables associated with each business object in the logical model and relationships between the data tables;
and acquiring a data table related to the service object related to the completed service target from the physical model of the software.
7. The method of claim 6, wherein obtaining, from the physical model of the software, a data table associated with business objects involved in accomplishing the business objective comprises:
Clustering the service objects related to the completed service target to generate tasks corresponding to each class of service objects;
And acquiring a data table related to the business object related to the completion of the business target from the physical model of the software by taking the task as a unit.
8. The method according to claim 7, wherein the clustering the business objects involved in completing the business objective to generate the task corresponding to each class of business object comprises:
clustering the service objects related to the completed service targets according to the similarity between the service objects related to the completed service targets, and generating tasks corresponding to each type of service objects; and the similarity between each type of business objects is highest.
9. the method according to any one of claims 1-5, wherein the determining information of the to-be-buried point control according to the data table comprises:
Determining a control using the data table as the control of the point to be buried from the current page according to the data table and the current page code of the software;
And acquiring the information of the to-be-buried point control.
10. The method of claim 9, wherein the information of the to-be-buried point control comprises at least one of: and the identification, the name and the path of the point control to be buried.
11. The method of claim 9, further comprising:
And determining system data corresponding to the business target according to the system information related to the control using the data table.
12. the method of claim 11, wherein said collecting data corresponding to said buried points comprises:
and acquiring user behavior data corresponding to the buried point and/or system data corresponding to the business target.
13. a data processing apparatus, comprising:
The first determining module is used for determining a service object related to the completion of the service target according to the service target;
the second determining module is used for determining a data table related to the business object related to the completion of the business target;
The third determining module is used for determining the information of the control of the point to be buried according to the data table;
the point burying module is used for burying points in the software according to the information of the to-be-buried point control;
And the acquisition module is used for acquiring the data corresponding to the buried points.
14. The apparatus of claim 13, wherein the data processing apparatus further comprises:
the receiving module is used for receiving information input by a user;
And the fourth determining module is used for determining the business target according to the key words of the information input by the user.
15. the apparatus of claim 13, wherein the first determining module comprises:
A first obtaining unit, configured to obtain a logic model of the software, where a business object involved in completing each software function of the software and a relationship between the business objects are defined in the logic model;
And the first searching unit is used for searching the service object related to the completion of the service target from the logic model of the software according to the service target.
16. The apparatus of claim 15,
the first searching unit is specifically configured to determine similarity between the business target and each business object according to the business target and the business object information in the logic model; and determining the service object with the highest similarity from the logic model as the service object related to the completion of the service target according to the similarity between the service target and each service object.
17. The apparatus of claim 15 or 16, wherein the second determining module comprises:
A second obtaining unit, configured to obtain a physical model of the software, where the physical model defines, in a database, data tables related to each business object in the logical model and a relationship between the data tables;
And the second searching unit is used for searching a data table related to the service object related to the completion of the service target from the physical model of the software.
18. The apparatus of claim 17,
The second searching unit is specifically configured to cluster the service objects related to the completed service target, and generate a task corresponding to each class of service object; and acquiring a data table related to the business object related to the completion of the business target from the physical model of the software by taking the task as a unit.
19. The apparatus of claim 18,
The second searching unit is specifically configured to cluster the service objects related to the completed service target according to the similarity between the service objects related to the completed service target, and generate a task corresponding to each class of service object; and the similarity between each type of business objects is highest.
20. The apparatus of any one of claims 13-16,
the third determining module is specifically configured to determine, according to the data table and the current page code of the software, a control using the data table from the current page as the to-be-buried point control; and acquiring the information of the to-be-buried point control.
21. the apparatus of claim 20,
The third determining module is further configured to determine system data corresponding to the service target according to the system information related to the control using the data table.
22. The apparatus of claim 21,
the acquisition module is specifically configured to acquire user behavior data corresponding to the buried point and/or system data corresponding to the service target.
CN201610552692.XA 2016-07-13 2016-07-13 Data processing method, device and equipment Active CN106202440B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610552692.XA CN106202440B (en) 2016-07-13 2016-07-13 Data processing method, device and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610552692.XA CN106202440B (en) 2016-07-13 2016-07-13 Data processing method, device and equipment

Publications (2)

Publication Number Publication Date
CN106202440A CN106202440A (en) 2016-12-07
CN106202440B true CN106202440B (en) 2019-12-17

Family

ID=57478073

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610552692.XA Active CN106202440B (en) 2016-07-13 2016-07-13 Data processing method, device and equipment

Country Status (1)

Country Link
CN (1) CN106202440B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106598868B (en) * 2016-12-24 2018-03-02 上海壹账通金融科技有限公司 Method and system a little are buried to the application program of client dynamic
CN109561117A (en) * 2017-09-26 2019-04-02 北京国双科技有限公司 Collecting method and device
CN112199346B (en) * 2020-12-08 2021-03-23 北京每日优鲜电子商务有限公司 Article information storage method and device, electronic equipment and computer readable medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103631699A (en) * 2012-08-28 2014-03-12 纽海信息技术(上海)有限公司 Log management system and method for log monitoring, acquiring and querying
CN103916293A (en) * 2014-04-15 2014-07-09 浪潮软件股份有限公司 Method for monitoring and analyzing website user behaviors
CN104915398A (en) * 2015-05-29 2015-09-16 北京京东尚科信息技术有限公司 Method and device for webpage point burying

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120260205A1 (en) * 2011-04-07 2012-10-11 Grigore Rusu System and method for event tracking across plural contact mediums

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103631699A (en) * 2012-08-28 2014-03-12 纽海信息技术(上海)有限公司 Log management system and method for log monitoring, acquiring and querying
CN103916293A (en) * 2014-04-15 2014-07-09 浪潮软件股份有限公司 Method for monitoring and analyzing website user behaviors
CN104915398A (en) * 2015-05-29 2015-09-16 北京京东尚科信息技术有限公司 Method and device for webpage point burying

Also Published As

Publication number Publication date
CN106202440A (en) 2016-12-07

Similar Documents

Publication Publication Date Title
CN105045799A (en) Searchable index
CN106202440B (en) Data processing method, device and equipment
CN105431844A (en) Third party search applications for a search system
JP6759844B2 (en) Systems, methods, programs and equipment that associate images with facilities
WO2019080661A1 (en) Method and device for identifying intention of user
US20190095537A1 (en) Method and apparatus for expanding query
WO2015139539A1 (en) Video information push method and device
CN103902535A (en) Method, device and system for obtaining associational word
TWI703862B (en) Content recommendation method and device
CN106796608A (en) Contextual search character string synonym is automatically generated
WO2020006835A1 (en) Customer service method, apparatus, and device for engaging in multiple rounds of question and answer, and storage medium
US20140244641A1 (en) Holistic customer record linkage via profile fingerprints
US20180341700A1 (en) Artificial intelligence based method and apparatus for determining regional information
US20140195561A1 (en) Search method and information managing apparatus
CN109726280B (en) Disambiguation method and device for homonyms
CN110716783A (en) Front-end page generation and deployment method and device, storage medium and equipment
KR20150008635A (en) Device for selecting core kyword, method for selecting core kyword, and method for providing search service using the same
CN111046237A (en) User behavior data processing method and device, electronic equipment and readable medium
WO2019024497A1 (en) Method, device, terminal equipment and medium for generating customer return visit event
CN107220255B (en) Address information processing method and device
CN108363707B (en) Method and device for generating webpage
CN110020040B (en) Method, device and system for querying data
KR20200132539A (en) Method and system for extracting synonym by using query analysis based on keyword relation structure
CN110020181B (en) Processing method and device of recommendation information and computer readable storage medium
KR20200097949A (en) Method and system for extracting synonym by using keyword relation structure

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
GR01 Patent grant
GR01 Patent grant