CN116166879A

CN116166879A - Sharing service processing method, device, computer equipment and storage medium

Info

Publication number: CN116166879A
Application number: CN202211581927.XA
Authority: CN
Inventors: 周理义; 王磊; 杨进波; 罗显教; 李少华
Original assignee: Merchants Union Consumer Finance Co Ltd
Current assignee: Merchants Union Consumer Finance Co Ltd
Priority date: 2022-12-09
Filing date: 2022-12-09
Publication date: 2023-05-26

Abstract

The application relates to a shared business data processing method, a shared business data processing device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a sharing service description text; analyzing the shared service description text, and determining shared keywords corresponding to preset fields of the shared service template; based on the sharing keywords, extracting sharing event information, sharing rules and sharing channel information recorded in a sharing service description text; identifying association relations among sharing events, sharing rules and sharing channel information, and constructing a sharing business strategy tree according to the identified association relations; and determining a target sharing object based on the sharing service policy tree, and carrying out service sharing on the target sharing object. According to the method, a policy tree for sharing the service is constructed based on multidimensional related information of the service, the policy tree can accurately screen target users, service sharing is performed based on the policy tree, and accuracy of service sharing can be improved.

Description

Sharing service processing method, device, computer equipment and storage medium

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for processing a shared service.

Background

Along with the continuous change of the demands of people, the products of various companies are changed differently, so that a plurality of different products are generated, and the audiences of the different products are different, so that the proper audience users of the different products are required to be determined, or the products of the different companies are also continuously provided with new services, and the audiences of the different services are different, so that the proper audience users of the different services are required to be determined.

In the related art, information of all users is generally collected widely, the collected user information is screened manually according to experience, audience users of products or services are determined according to screening results, and then the products or services can be pushed to the corresponding audience users.

However, the above technology cannot accurately determine the user population, so that accurate message pushing cannot be realized.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a computer readable storage medium, and a computer program product for processing a shared service that can accurately push a message.

In a first aspect, the present application provides a method for processing shared service data. The method comprises the following steps:

Acquiring a sharing service description text, wherein the sharing service description text is generated based on a sharing service template;

analyzing the sharing service description text, and determining sharing keywords corresponding to preset fields of the sharing service template, wherein the preset fields comprise sharing event fields, sharing rule fields and sharing channel fields;

based on the sharing keywords, extracting sharing event information, sharing rules and sharing channel information recorded in a sharing service description text;

identifying association relations among sharing events, sharing rules and sharing channel information, and constructing a sharing business strategy tree according to the identified association relations;

and determining a target sharing object based on the sharing service policy tree, and carrying out service sharing on the target sharing object.

In one embodiment, based on the sharing keywords, extracting the sharing event information, the sharing rule and the sharing channel information recorded in the sharing service description text includes: determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; locating punctuation mark key positions in the sharing service description text; dividing a sharing business description text into an event description text, a rule description text and a channel description text according to sharing event keywords, sharing rule keywords, sharing channel keywords and punctuation mark key positions; the method includes generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

In one embodiment, generating shared event information based on event description text includes: based on the event description text, extracting event sharing behavior rules, wherein the event sharing behavior rules are effective sharing behavior judgment rules of users; and generating sharing event information based on the sharing event behavior rule.

In one embodiment, generating the sharing rule based on the rule description text includes: identifying a sharing rule condition from the rule description text; based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds; and generating a sharing rule according to the sharing rule parameters, the sharing rule expression and a preset sharing parameter threshold.

In one embodiment, generating shared channel information based on channel description text includes: identifying a sharing channel identifier and sharing service information from the channel description text; and generating sharing channel information according to the channel identification and the sharing service information.

In one embodiment, identifying an association relationship among a sharing event, a sharing rule and sharing channel information, and constructing a sharing service policy tree according to the identified association relationship includes: based on the sharing service description text, identifying event rule association relations between sharing events and sharing rules, and identifying rule channel association relations between the sharing rules and sharing channel information; and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

In a second aspect, the present application further provides a service sharing data processing device. The device comprises:

the acquisition module is used for acquiring a sharing service description text, and the sharing service description text is generated based on the sharing service template;

the keyword determining module is used for analyzing the sharing service description text and determining sharing keywords corresponding to preset fields of the sharing service template, wherein the preset fields comprise sharing event fields, sharing rule fields and sharing channel fields;

the extraction module is used for extracting sharing event information, sharing rules and sharing channel information recorded in the sharing service description text based on the sharing keywords;

the construction module is used for identifying the association relation among the sharing event, the sharing rule and the sharing channel information and constructing a sharing service strategy tree according to the identified association relation;

and the business sharing module is used for determining a target sharing object based on the sharing business strategy tree and carrying out business sharing on the target sharing object.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:

The sharing service data processing method, the sharing service data processing device, the computer equipment, the storage medium and the computer program product acquire the sharing service description text, and the sharing service description text is generated based on the sharing service template; analyzing the sharing service description text, and determining sharing keywords corresponding to preset fields of the sharing service template, wherein the preset fields comprise sharing event fields, sharing rule fields and sharing channel fields; based on the sharing keywords, extracting sharing event information, sharing rules and sharing channel information recorded in a sharing service description text; identifying association relations among sharing events, sharing rules and sharing channel information, and constructing a sharing business strategy tree according to the identified association relations; and determining a target sharing object based on the sharing service policy tree, and carrying out service sharing on the target sharing object. According to the method, the device and the system, sharing event information, sharing rules and sharing channel information are extracted from sharing service description information, a strategy tree for sharing the service is constructed based on multidimensional sharing service related information, target users can be accurately screened by the strategy tree, service sharing is carried out based on the strategy tree, and accuracy of service sharing can be improved.

Drawings

In order to more clearly illustrate the technical solutions of embodiments or conventional techniques of the present application, the drawings required for the descriptions of the embodiments or conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.

FIG. 1 is an application environment diagram of a shared business processing method in one embodiment;

FIG. 2 is a flow chart of a method for processing shared services according to an embodiment;

FIG. 3 is a flowchart of a method for processing a shared service according to another embodiment;

FIG. 4 is a flowchart of another embodiment of a method for processing a shared service;

FIG. 5 is a flowchart illustrating a target sharing object determination in another embodiment;

FIG. 6 is a block diagram of a shared services processing apparatus in one embodiment;

fig. 7 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The sharing service processing method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The method comprises the steps that a user inputs a sharing service description text on a terminal 102, the terminal 102 sends the sharing service description text to a server 104, the server 104 obtains the sharing service description text, and the sharing service description text is generated based on a sharing service template; analyzing the sharing service description text, and determining sharing keywords corresponding to preset fields of the sharing service template, wherein the preset fields comprise sharing event fields, sharing rule fields and sharing channel fields; based on the sharing keywords, extracting sharing event information, sharing rules and sharing channel information recorded in a sharing service description text; identifying association relations among sharing events, sharing rules and sharing channel information, and constructing a sharing business strategy tree according to the identified association relations; and determining a target sharing object based on the sharing service policy tree, and carrying out service sharing on the target sharing object. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, a method for processing shared service data is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:

step 202, obtaining a sharing service description text.

The sharing service is that an enterprise sharing service processing node provides sharing service for a sharing object. The sharing object refers to a user needing to share information, and the sharing object can be staff, a user and the like of an enterprise. The sharing service processing node refers to a manager specially responsible for sharing services, such as a customer manager, and the like, specially responsible for communicating with users. And the sharing service processing node inputs the sharing service description text in a terminal display interface. The shared business description text is generated based on the shared business template. The sharing service description data is used for generating a strategy tree for determining a target sharing object, is a text, and is generated based on a preset sharing service template provided by an enterprise.

Specifically, a user inputs a sharing service description text on a terminal, the terminal responds to the sharing service description text, generates a sharing service processing instruction according to the sharing service description text, and sends the sharing service processing instruction to a server. And then the server monitors and responds to the sharing service processing instruction, and analyzes the sharing service processing instruction to obtain a sharing service description text. The sharing service processing instruction can also carry a sharing service identifier, which is used for indicating the server to generate a sharing policy tree for the target sharing service and obtain target sharing objects of the target sharing service, and if the sharing service description data is applicable to a plurality of sharing services, the sharing service processing instruction can also carry a plurality of sharing service identifiers corresponding to the sharing service description data, which is used for indicating the server to generate the sharing policy tree for the plurality of target sharing services and obtain a plurality of target sharing objects of the plurality of target sharing services.

And 204, analyzing the description text of the sharing service, and determining the sharing keywords corresponding to the preset fields of the sharing service template.

The preset fields comprise a sharing event field, a sharing rule field and a sharing channel field. The sharing keywords include sharing event keywords, sharing rule keywords, and sharing channel keywords. The sharing business template comprises a sharing event template, a sharing rule template and a sharing channel template, so that the sharing business description text comprises an event description text, a rule description text and a channel description text. The preset fields correspond to three templates in the sharing service template and comprise a sharing event field, a sharing rule field and a sharing channel field.

Specifically, the server analyzes the shared service description text based on a natural language algorithm to obtain a shared service description vector, calculates similarity of the shared service description vector and a shared keyword corresponding to a preset field of the shared service template, and determines the shared keyword of the shared service description text based on a similarity calculation result.

Step 206, extracting the sharing event information, the sharing rule and the sharing channel information recorded in the sharing service description text based on the sharing keywords.

Specifically, the server extracts sharing event information, sharing rules and sharing channel information recorded in the sharing service description text based on the sharing keywords and the sharing service templates. And extracting the sharing event information recorded in the sharing service description text according to the sharing event keywords. And extracting the sharing rule recorded in the sharing service description text according to the sharing rule keywords. And extracting the sharing channel information recorded in the sharing business description text according to the sharing channel keywords.

And step 208, identifying the association relationship among the sharing event, the sharing rule and the sharing channel information, and constructing a sharing service policy tree according to the identified association relationship.

The association relationship among the sharing event, the sharing rule and the sharing channel information comprises an association relationship between the sharing event and the sharing rule and an association relationship between the sharing rule and the sharing channel information. The association relationship between the sharing event and the sharing rule refers to a connection condition between the sharing event and the sharing rule, i.e. a logical relationship between the sharing event and the sharing rule. The sharing service policy tree refers to the processing flow of the whole sharing service of the sharing service and the relation among the processing flows, and is constructed based on a binary tree theory.

Specifically, the server extracts the association relation between the sharing event and the sharing rule and the association relation between the sharing rule and the sharing channel information from the sharing service description text. And then, the server establishes a sharing business strategy tree by connecting the sharing event, the sharing rule, the sharing channel information, the association relation between the sharing event and the sharing rule and the association relation between the sharing rule and the sharing channel information in series.

Step 210, determining a target sharing object based on the sharing service policy tree, and performing service sharing on the target sharing object.

The sharing object has a sharing object identifier, wherein the sharing object identifier refers to a unique identifier of the sharing object, and the unique sharing object can be directly determined according to the sharing object identifier.

Specifically, the server screens from the user behavior data based on the user behavior data corresponding to the sharing service identifier and the sharing service policy tree, determines a screening result as a target sharing object, and then shares service information with the target sharing object through the sharing channel.

In the sharing service data processing method, a sharing service description text is acquired, and the sharing service description text is generated based on a sharing service template; analyzing the sharing service description text, and determining sharing keywords corresponding to preset fields of the sharing service template, wherein the preset fields comprise sharing event fields, sharing rule fields and sharing channel fields; based on the sharing keywords, extracting sharing event information, sharing rules and sharing channel information recorded in a sharing service description text; identifying association relations among sharing events, sharing rules and sharing channel information, and constructing a sharing business strategy tree according to the identified association relations; and determining a target sharing object based on the sharing service policy tree, and carrying out service sharing on the target sharing object. According to the method, the device and the system, sharing event information, sharing rules and sharing channel information are extracted from sharing service description information, a strategy tree for sharing the service is constructed based on multidimensional sharing service related information, target users can be accurately screened by the strategy tree, service sharing is carried out based on the strategy tree, and accuracy of service sharing can be improved.

In an alternative embodiment, as shown in fig. 3, based on the sharing keywords, extracting the sharing event information, the sharing rule, and the sharing channel information recorded in the sharing service description text includes:

step 302, determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; and positioning punctuation mark key positions in the sharing service description text.

Specifically, the server analyzes the shared service description text based on a natural language algorithm to obtain a shared service description vector, calculates similarity of shared keywords corresponding to the shared service description vector and a preset field of the shared service template, and determines a shared event keyword, a shared rule keyword and a shared channel keyword of the shared service description text based on a similarity calculation result. The server may also detect a punctuation key in the shared service description text.

And step 304, dividing the sharing service description text into an event description text, a rule description text and a channel description text according to the sharing event keywords, the sharing rule keywords, the sharing channel keywords and the punctuation mark key positions.

Specifically, the server extracts text segment information of the sharing event keywords from the sharing service description text based on punctuation key positions, and obtains the event description text. And extracting the text segment information of the sharing rule keywords from the sharing service description text based on the punctuation mark key positions to obtain the rule description text. And extracting text segment information of the sharing channel keywords from the sharing service description text based on punctuation key positions to obtain the channel description text.

Step 306, generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

Specifically, the server generates a sharing event policy tree according to the event description text, and generates sharing event information according to the sharing event policy tree. And the server generates a sharing rule strategy tree according to the rule description text, and generates a sharing rule according to the sharing rule strategy tree. And the server generates a sharing channel strategy tree according to the channel description text, and generates sharing channel information according to the sharing channel strategy tree.

In this embodiment, the server extracts the sharing event information, the sharing rule and the sharing channel information from the sharing service description text sequentially according to the sharing event keywords, the sharing rule keywords and the sharing channel keywords, and accurately extracts the corresponding part of the sharing service description data according to the sharing keywords, so as to perform accurate sharing policy tree construction, and further improve the accuracy of service sharing.

In an alternative embodiment, generating the shared event information based on the event description text includes: based on the event description text, extracting event sharing behavior rules, wherein the event sharing behavior rules are effective sharing behavior judgment rules of users; and generating sharing event information based on the sharing event behavior rule.

The sharing event behavior rule is a user effective sharing behavior judging rule, and refers to a judging rule of whether behavior data generated after a user triggers a sharing event is effective or not, the user behavior data is generated after the user triggers the sharing event, and the sharing event behavior rule refers to a sharing event and an admittance rule of the sharing event. The admission rule refers to a judging condition after the sharing event is triggered, and the user effective sharing behavior judging rule comprises that the residence time after the user triggers the sharing event reaches the preset residence time, and the user behavior data is judged to be effective. For example, the user logs in or the user accesses a certain page where the dwell time reaches a preset dwell time threshold. For example, sharing event information accesses a borrowing page for a user, and stays on the borrowing page for 15 minutes without borrowing. And the sharing keywords are accessed, the sharing event behavior rules are that the user accesses a borrowing page, and the user stays on the borrowing page for 15 minutes without borrowing.

Specifically, the server extracts a sharing event behavior rule from the event description text according to the sharing event keywords, generates a sharing event policy tree according to the sharing event behavior rule, and generates sharing event information according to the sharing event policy tree. For example, the server sequentially extracts the behavior rules of the sharing event to obtain a plurality of judging conditions, such as accessing a borrowing page, staying for 15 minutes, and a plurality of behavior judging actions such as not borrowing, and generates a sharing event policy tree according to the plurality of behavior judging actions such as accessing the borrowing page, staying for 15 minutes, and not borrowing.

In an alternative embodiment, generating the sharing rule based on the rule description text includes: identifying a sharing rule condition from the rule description text; based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds; and generating a sharing rule according to the sharing rule parameters, the sharing rule expression and a preset sharing parameter threshold.

The sharing rule condition refers to a judgment condition of the sharing rule, and if the acquired credit line is greater than a preset credit line threshold and the credit line usage rate is less than a preset usage rate threshold, the credit line is greater than the preset credit line threshold and the credit line usage rate is less than the preset usage rate threshold is the sharing rule condition. The credit line and the credit line utilization rate are the sharing parameters, the preset credit line threshold value and the preset utilization rate threshold value are the preset sharing parameter threshold values, and the credit line is larger than the preset credit line threshold value and the credit line utilization rate is smaller than the preset utilization rate threshold value is the sharing rule expression. The sharing parameters and the preset sharing parameter threshold value in the sharing rule expression are only digital identifiers, and the sharing rule expression needs to be instantiated according to the specific sharing parameter preset sharing parameter threshold value to obtain the sharing rule.

Specifically, the server identifies a sharing rule condition from the rule description text, and then extracts a sharing rule parameter, a sharing rule expression and a preset sharing parameter threshold according to the sharing rule condition. And filling the sharing rule parameters and the preset sharing parameter threshold value into the sharing rule expression to generate the sharing rule.

In the implementation, the sharing rule expression in the sharing rule information is extracted, so that the sharing rule is accurately generated, accurate sharing rule judgment is performed, the sharing service judgment accuracy is improved, the sharing accuracy of the sharing service is improved, and the sharing resource consumption of the system is reduced.

In an alternative embodiment, generating shared channel information based on channel description text includes: identifying a sharing channel identifier and sharing service information from the channel description text; and generating sharing channel information according to the channel identification and the sharing service information.

The sharing channel comprises message sharing approaches such as short messages, telephones, app messages or public number messages. The sharing service information refers to service information shared for the sharing object.

Specifically, the server determines the sharing channel identification and the sharing service information according to the channel description text, then generates a sharing channel strategy tree based on the sharing channel identification and the sharing service information, and generates sharing channel information according to the sharing channel strategy tree.

In an alternative embodiment, identifying the association between the sharing event, the sharing rule, and the sharing channel information, and constructing the sharing business policy tree according to the identified association includes: based on the sharing service description text, identifying event rule association relations between sharing events and sharing rules, and identifying rule channel association relations between the sharing rules and sharing channel information; and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

The event rule association relationship between the sharing event and the sharing rule refers to a connection relationship between the last rule in the sharing event behavior rule and the sharing rule. For example, when the user stays for 15 minutes on the access borrowing page and is not borrowed, the non-borrowing is the last action rule in the sharing event, when the server judges that the user accords with the stay for 15 minutes on the access borrowing page, after the last non-borrowing action rule judgment is carried out, if the user accords with the non-borrowing, the sharing rule judgment process is entered. Similarly, the rule channel association relationship between the sharing rule and the sharing channel information refers to the connection relationship between the last sharing rule expression in the sharing rule and the sharing channel information.

Specifically, the server obtains an incidence relation between a last sharing event behavior rule and a sharing rule in a sharing event from a sharing service description text to obtain an event rule incidence relation, then obtains an incidence relation between a last sharing rule expression in the sharing rule and sharing channel information to obtain a channel rule incidence relation, connects a sharing event strategy tree with a sharing rule strategy tree based on the event rule incidence relation, and connects the sharing rule strategy tree with a sharing channel strategy tree based on the channel rule incidence relation to obtain a sharing service strategy tree.

In this embodiment, by accurately identifying the connection relationship among the sharing event information, the sharing rule and the sharing channel information, the sharing event information, the sharing rule and the sharing channel information are further connected according to the connection relationship, so as to obtain an accurate sharing service policy tree.

In order to easily understand the technical solution provided in the embodiments of the present application, as shown in fig. 4, a complete shared service data processing procedure is used to briefly describe the shared service data processing method provided in the embodiments of the present application:

(1) And acquiring a sharing service description text, wherein the sharing service description text is generated based on the sharing service template.

(2) Analyzing the sharing service description text, and determining sharing keywords corresponding to preset fields of the sharing service template, wherein the preset fields comprise sharing event fields, sharing rule fields and sharing channel fields;

(3) Determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; and positioning punctuation mark key positions in the sharing service description text.

(4) And dividing the sharing business description text into an event description text, a rule description text and a channel description text according to the sharing event keywords, the sharing rule keywords, the sharing channel keywords and the punctuation mark key positions.

(5) Based on the event description text, extracting event sharing behavior rules, wherein the event sharing behavior rules are effective sharing behavior judgment rules of users; and generating sharing event information based on the sharing event behavior rule.

(6) Identifying a sharing rule condition from the rule description text; based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds; and generating a sharing rule according to the sharing rule parameters, the sharing rule expression and a preset sharing parameter threshold.

(7) Identifying a sharing channel identifier and sharing service information from the channel description text; and generating sharing channel information according to the channel identification and the sharing service information.

(8) Based on the sharing service description text, identifying event rule association relations between sharing events and sharing rules, and identifying rule channel association relations between the sharing rules and sharing channel information; and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

(9) And pushing the paging service strategy tree to a terminal interface so as to enable a user to confirm and modify, submitting the user to a system administrator for rechecking after the user confirms, and obtaining the target sharing service strategy tree after rechecking.

(10) And determining a target sharing object based on the sharing service policy tree, and carrying out service sharing on the target sharing object.

As shown in fig. 5, in order to perform a process of acquiring a target sharing object based on a sharing service policy tree, a server includes a behavior data system, an event policy system, a redis cluster and a sharing channel system, a behavior event of a user is captured through the behavior data system, when the user triggers the sharing event, the event policy system determines whether the user satisfies a sharing rule, when the user completes an operation in a specified time period, the user does not satisfy the sharing condition, and when the user does not complete the operation in the specified event, the sharing rule is satisfied, and further service information sharing is performed through a sharing channel. The specific target sharing object acquisition process is as follows:

(1) When a user triggers a sharing event (i.e., a behavioral event), the behavioral data system publishes the user's sharing event.

(2) The event policy system subscribes to the sharing event, then analyzes the behavior data of the user according to the sharing rule, and waits for a subsequent event, which is generally the operation time of the user, if the behavior data of the user accords with the sharing rule. Adding a time event and adding the time event into the redis cluster, and judging whether the time event triggers a time threshold or not through a delay event queue of the redis cluster.

(3) If the user finishes the transaction operation within the preset time threshold, the behavior data system captures and distributes transaction events, the event policy system judges the follow-up behavior of the user transaction operation according to the follow-up judgment rule of the transaction events, if the follow-up behavior is met, the time events in the redis delay event queue are deleted, the transaction is finished, and the user does not need to share business information.

(4) If the user does not trigger the transaction operation within the preset time threshold, the user is a target sharing object, and the event policy system sends a sharing request to the sharing system, wherein the sharing request carries a target sharing object identifier, sharing channel information and sharing service information.

(5) And the sharing system receives the sharing request, analyzes the sharing request, obtains the target sharing object identification, the sharing channel information and the sharing service information, and shares the service information to the target sharing object through the sharing channel.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a shared service data processing device for implementing the above related shared service data processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of one or more shared service data processing devices provided below may refer to the limitation of the shared service data processing method hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 6, there is provided a shared service data processing apparatus, including: an acquisition module 602, a keyword determination module 604, an extraction module 606, a construction module 608, and a service sharing module 610, wherein:

the obtaining module 602 is configured to obtain a sharing service description text, where the sharing service description text is generated based on a sharing service template;

the keyword determining module 604 is configured to parse the shared service description text, determine a shared keyword corresponding to a preset field of the shared service template, where the preset field includes a shared event field, a shared rule field, and a shared channel field;

the extracting module 606 is configured to extract sharing event information, sharing rules and sharing channel information recorded in the sharing service description text based on the sharing keywords;

the construction module 608 is configured to identify an association relationship among the sharing event, the sharing rule, and the sharing channel information, and construct a sharing service policy tree according to the identified association relationship;

the service sharing module 610 is configured to determine a target sharing object based on the sharing service policy tree, and perform service sharing on the target sharing object.

In one embodiment, the extraction module 606 is further configured to determine a sharing event keyword, a sharing rule keyword, and a sharing channel keyword according to the sharing keyword; locating punctuation mark key positions in the sharing service description text; dividing a sharing business description text into an event description text, a rule description text and a channel description text according to sharing event keywords, sharing rule keywords, sharing channel keywords and punctuation mark key positions; the method includes generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

In one embodiment, the extracting module 606 is further configured to extract a rule of event sharing behavior based on the event description text, where the rule of event sharing behavior is a rule of determining effective sharing behavior of the user; and generating sharing event information based on the sharing event behavior rule.

In one embodiment, the extraction module 606 is further configured to identify a sharing rule condition from the rule description text; based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds; and generating a sharing rule according to the sharing rule parameters, the sharing rule expression and a preset sharing parameter threshold.

In one embodiment, the extraction module 606 is further configured to identify a sharing channel identifier and sharing business information from the channel description text; and generating sharing channel information according to the channel identification and the sharing service information.

In one embodiment, the building module 608 is further configured to identify an event rule association relationship between a sharing event and a sharing rule, and identify a rule channel association relationship between the sharing rule and the sharing channel information, based on the sharing service description text; and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

The above-mentioned various modules in the shared service data processing apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing the sharing business template, the preset field and the sharing object behavior data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of sharing business data processing.

It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

In one embodiment, the processor when executing the computer program further performs the steps of: based on the sharing keywords, the extracting sharing event information, sharing rules and sharing channel information recorded in the sharing business description text comprises the following steps: determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; locating punctuation mark key positions in the sharing service description text; dividing a sharing business description text into an event description text, a rule description text and a channel description text according to sharing event keywords, sharing rule keywords, sharing channel keywords and punctuation mark key positions; the method includes generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

In one embodiment, the processor when executing the computer program further performs the steps of: generating shared event information based on the event description text includes: based on the event description text, extracting event sharing behavior rules, wherein the event sharing behavior rules are effective sharing behavior judgment rules of users; and generating sharing event information based on the sharing event behavior rule.

In one embodiment, the processor when executing the computer program further performs the steps of: generating the sharing rule based on the rule description text includes: identifying a sharing rule condition from the rule description text; based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds; and generating a sharing rule according to the sharing rule parameters, the sharing rule expression and a preset sharing parameter threshold.

In one embodiment, the processor when executing the computer program further performs the steps of: generating shared channel information based on the channel description text includes: identifying a sharing channel identifier and sharing service information from the channel description text; and generating sharing channel information according to the channel identification and the sharing service information.

In one embodiment, the processor when executing the computer program further performs the steps of: identifying the association relationship among the sharing event, the sharing rule and the sharing channel information, and constructing a sharing business strategy tree according to the identified association relationship comprises the following steps: based on the sharing service description text, identifying event rule association relations between sharing events and sharing rules, and identifying rule channel association relations between the sharing rules and sharing channel information; and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of: based on the sharing keywords, the extracting sharing event information, sharing rules and sharing channel information recorded in the sharing business description text comprises the following steps: determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; locating punctuation mark key positions in the sharing service description text; dividing a sharing business description text into an event description text, a rule description text and a channel description text according to sharing event keywords, sharing rule keywords, sharing channel keywords and punctuation mark key positions; the method includes generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

In one embodiment, the computer program when executed by the processor further performs the steps of: generating shared event information based on the event description text includes: based on the event description text, extracting event sharing behavior rules, wherein the event sharing behavior rules are effective sharing behavior judgment rules of users; and generating sharing event information based on the sharing event behavior rule.

In one embodiment, the computer program when executed by the processor further performs the steps of: generating the sharing rule based on the rule description text includes: identifying a sharing rule condition from the rule description text; based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds; and generating a sharing rule according to the sharing rule parameters, the sharing rule expression and a preset sharing parameter threshold.

In one embodiment, the computer program when executed by the processor further performs the steps of: generating shared channel information based on the channel description text includes: identifying a sharing channel identifier and sharing service information from the channel description text; and generating sharing channel information according to the channel identification and the sharing service information.

In one embodiment, the computer program when executed by the processor further performs the steps of: identifying the association relationship among the sharing event, the sharing rule and the sharing channel information, and constructing a sharing business strategy tree according to the identified association relationship comprises the following steps: based on the sharing service description text, identifying event rule association relations between sharing events and sharing rules, and identifying rule channel association relations between the sharing rules and sharing channel information; and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of: based on the sharing keywords, the extracting sharing event information, sharing rules and sharing channel information recorded in the sharing business description text comprises the following steps:

determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; locating punctuation mark key positions in the sharing service description text; dividing a sharing business description text into an event description text, a rule description text and a channel description text according to sharing event keywords, sharing rule keywords, sharing channel keywords and punctuation mark key positions; the method includes generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. A method for processing shared service data, the method comprising:

obtaining a sharing service description text, wherein the sharing service description text is generated based on a sharing service template;

Extracting sharing event information, sharing rules and sharing channel information recorded in the sharing service description text based on the sharing keywords;

identifying the association relation among the sharing event, the sharing rule and the sharing channel information, and constructing a sharing service strategy tree according to the identified association relation;

2. The method of claim 1, wherein the extracting, based on the sharing keywords, sharing event information, sharing rules, and sharing channel information recorded in the sharing service description text includes:

determining sharing event keywords, sharing rule keywords and sharing channel keywords according to the sharing keywords; positioning punctuation mark key positions in the sharing service description text;

dividing the sharing service description text into an event description text, a rule description text and a channel description text according to the sharing event keywords, the sharing rule keywords, the sharing channel keywords and the punctuation mark key positions;

the method comprises the steps of generating sharing event information based on the event description text, generating sharing rules based on the rule description text, and generating sharing channel information based on the channel description text.

3. The method of claim 2, wherein the generating shared event information based on the event description text comprises:

extracting a sharing event behavior rule based on the event description text, wherein the sharing event behavior rule is an effective sharing behavior judgment rule of a user;

and generating sharing event information based on the sharing event behavior rule.

4. The method of claim 2, wherein the generating sharing rules based on the rule description text comprises:

identifying a sharing rule condition from the rule description text;

based on the sharing rule conditions, determining sharing rule parameters, sharing rule expressions and preset sharing parameter thresholds;

and generating a sharing rule according to the sharing rule parameter, the sharing rule expression and the preset sharing parameter threshold.

5. The method of claim 2, wherein the generating shared channel information based on the channel description text comprises:

identifying a sharing channel identifier and sharing service information from the channel description text;

and generating sharing channel information according to the channel identification and the sharing service information.

6. The method of claim 1, wherein the identifying the association between the sharing event, the sharing rule, and the sharing channel information, and constructing a sharing business policy tree according to the identified association comprises:

based on the sharing service description text, identifying event rule association relations between the sharing events and the sharing rules, and identifying rule channel association relations between the sharing rules and the sharing channel information;

and based on the event rule association relationship and the rule channel association relationship, sequentially connecting the sharing event, the sharing rule and the sharing channel information to construct a sharing service strategy tree.

7. A shared traffic data processing apparatus, the apparatus comprising:

the acquisition module is used for acquiring a sharing service description text, and the sharing service description text is generated based on a sharing service template;

The extraction module is used for extracting the sharing event information, the sharing rule and the sharing channel information recorded in the sharing service description text based on the sharing keywords;

the construction module is used for identifying the association relation among the sharing event, the sharing rule and the sharing channel information and constructing a sharing business strategy tree according to the identified association relation;

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.