CN112100193A

CN112100193A - Service processing method based on big data and cloud computing and electronic commerce collaboration platform

Info

Publication number: CN112100193A
Application number: CN202011064291.2A
Authority: CN
Inventors: 曹春华
Original assignee: Individual
Current assignee: Guangzhou Yiliantong Internet Technology Co ltd
Priority date: 2020-10-01
Filing date: 2020-10-01
Publication date: 2020-12-18
Anticipated expiration: 2040-10-01
Also published as: CN112883047A; CN112100193B; CN112883046A

Abstract

The embodiment of the application provides a business processing method based on big data and cloud computing and an electronic commerce collaboration platform. By fusing the information circulation link information and the collaborative definition form, the method can overcome the problem that the collaborative definition form is easy to make mistakes in the service scene of form structure initialization, realize service adaptation on collaborative elements in the collaborative definition form, and output a target global collaborative definition form with global consistency, thereby completing collaborative service configuration of suggested collaborative services and further reducing the probability of service configuration errors of a collaborative response object in the use process.

Description

Service processing method based on big data and cloud computing and electronic commerce collaboration platform

Technical Field

The application relates to the technical field of big data and cloud computing, in particular to a business processing method and an electronic commerce collaboration platform based on big data and cloud computing.

Background

Collaboration, refers to the process or ability of coordinating two or more different resources or individuals to achieve a goal in concert, and all software that facilitates collaboration may be referred to as collaborative management software. Collaborative management software is computer software that is intended to help people participate in a common task to achieve their goals. It usually does not allow individuals to work physically in the same location, but rather work together through an internet connection. It also includes remotely accessing the storage system to obtain shared data files so that they can be accessed, modified, and retrieved by members of the distributed workgroup.

In the related art, the generated cooperative processing plans can reflect the progress process of the cooperative information flow nodes of the user, so that the cooperative processing plans can be analyzed, and the cooperative processing cloud computing service can be updated in advance, so that the increased response time of the subsequent independent adaptive update of the cooperative processing cloud computing service can be reduced. In addition, in order to meet the operation requirements of each e-commerce collaboration terminal of the e-commerce collaboration platform, corresponding suggested collaboration service information may be synchronously generated in the process of operating the collaborative processing cloud computing service, and the suggested collaboration service information may provide suggestions of a collaboration definition form (for example, collaboration rule configuration information of the e-commerce platform, configuration information of a collaboration mode, and the like) of a related collaborative e-commerce service to the e-commerce collaboration terminals, so as to reduce the workload of each subsequent e-commerce collaboration terminal. However, the inventor researches and discovers that, in the current processing mode, if the collaborative definition form is not updated effectively in combination with an information transfer link in a service scene in which a form structure is initialized (for example, when the collaborative definition form is used for the first time), errors are very likely to occur, and the probability of errors in service configuration of a subsequent collaborative response object in the use process is greatly increased.

Disclosure of Invention

In order to overcome at least the above disadvantages in the prior art, an object of the present application is to provide a service processing method and an e-commerce collaboration platform based on big data and cloud computing, in which information transfer link information and a collaboration definition form that can be enabled at present are obtained, and then are respectively subjected to collaboration association authentication, the information transfer link information subjected to the collaboration association authentication and the collaboration definition form subjected to the collaboration association authentication are fused, and a collaboration definition fusion form is obtained, so that the enabled collaboration definition form is optimized. By fusing the information circulation link information and the collaborative definition form, the method can overcome the problem that the collaborative definition form is easy to make mistakes in the service scene of form structure initialization, realize service adaptation on collaborative elements in the collaborative definition form, and output a target global collaborative definition form with global consistency, thereby completing collaborative service configuration of suggested collaborative services and further reducing the probability of service configuration errors of a collaborative response object in the use process.

In a first aspect, the present application provides a service processing method based on big data and cloud computing, which is applied to an e-commerce collaboration platform, where the e-commerce collaboration platform is connected to a plurality of cosmetic e-commerce collaboration terminals, and the method includes:

acquiring suggested cooperative service information aiming at a cooperative response object in advance;

acquiring information transfer link information and a collaborative definition form which can be started aiming at the suggested collaborative service information at present, respectively performing collaborative association authentication on the information transfer link information and the collaborative definition form, and acquiring a desktop virtual object of an information transfer link according to the information transfer link information subjected to the collaborative association authentication;

fusing the desktop virtual object of the information circulation link with the collaborative definition form subjected to collaborative association authentication to obtain a collaborative definition fusion form;

and performing adaptive updating on the global cooperative definition form corresponding to the suggested cooperative service information according to the cooperative definition fusion form, acquiring a target global cooperative definition form, generating service template information of a service node corresponding to the currently enabled cooperative definition form based on the target global cooperative definition form, and completing cooperative service configuration of the suggested cooperative service.

In a possible implementation manner of the first aspect, the step of performing collaborative association authentication on the information circulation link information includes:

extracting the characteristics of the information transfer link information to obtain the transfer link characteristics of the information transfer link information;

screening out specific circulation link characteristics which meet preset conditions from the circulation link characteristics of the information circulation link information;

calculating a description vector set of the specific circulation link characteristics;

and performing feature matching of a preset cooperative tag on the information circulation link information according to the description vector set, and performing cooperative association authentication on the information circulation link information according to a matched cooperative tag obtained after the feature matching.

In a possible implementation manner of the first aspect, the step of performing collaborative association authentication on the collaborative definition form includes:

extracting a structured form template and an unstructured form template from the collaborative definition form, and distinguishing a single template service node and a composite template service node in the structured form template according to a preset distinguishing label;

respectively extracting the characteristics of the single template service node and the composite template service node to obtain the template service characteristics of the single template service node and the composite template service node;

screening out specific template service characteristics meeting preset conditions from the template service characteristics, and calculating a description vector set of the template service characteristics;

and performing feature matching of preset collaborative labels on the collaborative definition form according to the description vector set, and performing collaborative association authentication on the collaborative definition form according to matched collaborative labels obtained after the feature matching.

In a possible implementation manner of the first aspect, the step of obtaining a desktop virtual object of the information transfer link according to information of the information transfer link after the collaborative association authentication includes:

inserting a first information transfer link in information of the information transfer links subjected to collaborative association authentication into a desktop virtual operating environment as a key information transfer link;

taking the first information transfer link as a reference information transfer link, and performing transfer link characteristic matching with a newly added current information transfer link;

calculating link level attribution parameters and/or link flow direction business attribution parameters between the first information transfer link and the current information transfer link according to transfer link characteristics matched between the first information transfer link and the current information transfer link;

when link level attribution parameters between the first information transfer link and the current information transfer link are calculated and the link level attribution parameters cover a first attribution parameter range, determining that the current information transfer link is a key information transfer link;

or, when it is calculated that a link between the first information transfer link and the current information transfer link flows to a service attribution parameter and the link flow to the service attribution parameter covers a second attribution parameter range, determining that the current information transfer link is a key information transfer link;

or, when the link level attribution parameter and the link flow direction service attribution parameter between the first information transfer link and the current information transfer link are calculated and both the link level attribution parameter and the link flow direction service attribution parameter cover the corresponding attribution parameter range, when the current information transfer link is determined to be the key information transfer link, inserting the current information transfer link into the desktop virtual operation environment, and repeatedly executing the steps with the next newly added information transfer link until all information transfer links in the information of the information transfer link are processed, and completing the information flow operation simulation of the desktop virtual operation environment;

in the information flow operation simulation process of the desktop virtual operation environment, after the desktop virtual operation environment is determined to be inserted into a new key information flow link, selecting other key information flow links which meet the operation association relationship with the new key information flow link from the currently acquired desktop virtual operation environment;

estimating link sharing parameters among all key information transfer links meeting the operation association relation, and acquiring a desktop virtual object called by the information transfer links in the operation process when determining that the link sharing parameters fall into a preset range.

In a possible implementation manner of the first aspect, the step of fusing the desktop virtual object of the information transfer link with the collaborative definition form subjected to the collaborative association authentication to obtain the collaborative definition fused form includes:

extracting desktop virtual circulation simulation information of a desktop virtual object of the information circulation link, performing event trigger track extraction on the desktop virtual circulation simulation information, performing track feature identification on a first event trigger track corresponding to the obtained desktop virtual circulation simulation information, and obtaining a first fusion track node set corresponding to the desktop virtual circulation simulation information according to the identified track features;

performing event triggering track extraction on the collaborative definition form after collaborative association authentication, performing track characteristic identification on a second event triggering track corresponding to the obtained collaborative definition form after collaborative association authentication, and obtaining a second fusion track node set corresponding to the collaborative definition form after collaborative association authentication according to the identified track characteristic;

acquiring first service aggregation distribution information stored in the first fusion track node set, and converting the first service aggregation distribution information into a corresponding first service aggregation distribution vector;

acquiring second service aggregation distribution information stored by a plurality of fusion track node objects in the second fusion track node set respectively, and converting each second service aggregation distribution information into a corresponding second service aggregation distribution vector;

calculating a fusion distribution vector of each second service aggregation distribution vector and the first service aggregation distribution vector, sorting the fusion distribution vectors corresponding to each second service aggregation distribution vector, and selecting a plurality of similar service aggregation distribution vectors from the plurality of second service aggregation distribution vectors according to a sorting result;

performing genetic crossing algorithm processing on the similar service aggregation distribution vectors to obtain genetic crossing feature vectors, performing label portrait calculation on the collaborative definition feature vectors of the first fusion track node set and the second fusion track node set, and obtaining event behavior attributes according to the calculated label portrait; the event behavior attribute comprises attribute information corresponding to each fusion track node object in the second fusion track node set;

calculating a fusion feature vector of the genetic cross feature vector and the event behavior attribute, and taking a calculated result as a service aggregation description vector of the first service aggregation distribution information;

fusing the service aggregation description vector to a desktop virtual circulation simulation label set in the desktop virtual circulation simulation information to obtain a desktop virtual circulation service feature set, and performing track feature identification on the desktop virtual circulation service feature set to obtain a reference track feature;

obtaining a continuous collaborative event set corresponding to the desktop virtual flow simulation information according to the first fusion track node set, the second fusion track node set and the reference track characteristics in a fusion manner;

and fusing each continuous collaborative event node in the continuous collaborative event set corresponding to the desktop virtual circulation simulation information with the form template position of the corresponding collaborative event node in the collaborative definition form after collaborative association authentication to obtain a collaborative definition fused form.

In a possible implementation manner of the first aspect, the step of obtaining, by the fusion, a continuous collaborative event set corresponding to the desktop virtual flow simulation information according to the first fusion trajectory node set, the second fusion trajectory node set, and the reference trajectory feature includes:

mapping the first fused track node set and the second fused track node set to each dynamic track node in the reference track characteristic respectively to obtain collaborative event information of each dynamic track node corresponding to the first fused track node set and the second fused track node set respectively;

and summarizing the collaborative event information of each dynamic track node corresponding to the first fusion track node set and the second fusion track node set respectively to obtain a continuous collaborative event set corresponding to the desktop virtual flow simulation information.

In a possible implementation manner of the first aspect, the step of performing adaptive update on the global collaborative definition form corresponding to the recommended collaborative service information according to the collaborative definition fusion form to obtain a target global collaborative definition form, and generating service template information of a service node corresponding to a currently enabled collaborative definition form based on the target global collaborative definition form to complete collaborative service configuration of the recommended collaborative service includes:

acquiring each first collaboration definition event distribution in the collaboration definition fusion form and at least one second collaboration definition event distribution in the global collaboration definition form associated with each first collaboration definition event distribution, wherein the first collaboration definition event distribution comprises a first event distribution field, and the second collaboration definition event distribution comprises a second event distribution field;

fusing the first collaborative definition item with at least one collaborative definition item element corresponding to the second collaborative definition item distribution according to each same collaborative definition item element to obtain a fused collaborative definition item;

adding the first cooperation definition item and at least one second cooperation definition item distribution to a preset adaptation updating queue, and establishing a plurality of first adaptation updating parameters of the first cooperation definition item and a plurality of second adaptation updating parameters of the second cooperation definition item distribution based on the adaptation updating queue;

determining first field update rule information of the first event distribution field according to each first adaptation update parameter, determining second field update rule information of the second event distribution field according to each second adaptation update parameter, mapping the first field update rule information and the second field update rule information to a global update model to obtain a first collaborative definition item feature corresponding to the first field update rule information and a second collaborative definition item distribution feature corresponding to the second field update rule information, determining a plurality of global update objects corresponding to the fusion collaborative definition item of the global update model, summarizing the plurality of global update objects to obtain at least a plurality of global update service lists of different types, and updating each update object in the global update service list in a preset update process for each global update service list to correspond to the first collaborative definition item A first updating service content defining the item characteristics and a second updating service content corresponding to the second collaborative definition item distribution characteristics;

according to the updating results of the first updating service content and the second updating service content corresponding to each global updating object in the global updating service list, updating is executed in a global collaborative definition form corresponding to the suggested collaborative service information, and a target global collaborative definition form is obtained;

and generating the cooperative definition form content of the service node corresponding to the currently enabled cooperative definition form based on the target global cooperative definition form, taking the cooperative definition form content as corresponding service template information, and finishing cooperative service configuration of the suggested cooperative service based on the service template information.

In a possible implementation manner of the first aspect, the step of adding the first co-definition item and the at least one second co-definition item to a preset adaptation update queue includes:

determining extended update configuration information of the adaptation update queue; the extension update configuration information is used for representing an adaptation update target distributed when the adaptation update queue processes the collaborative definition items added successively, and the adaptation update target is used for representing an update distribution characteristic when the adaptation update queue updates the collaborative definition items added;

determining, based on the extended update configuration information, a first update distribution characteristic corresponding to adding the first co-definition transaction to the adaptation update queue and a second update distribution characteristic corresponding to adding the second co-definition transaction distribution to the adaptation update queue;

determining whether an extended associated service exists when the first and second co-definition transactions are added to the adaptation update queue in a distributed manner according to the first and second update distribution characteristics; wherein, the extended associated service is used for representing the service condition of extended association in the updating process of the adaptive updating queue;

if not, adjusting the second updating distribution characteristic to obtain a third updating distribution characteristic, and adding the first collaborative definition item and the second collaborative definition item to the adaptation updating queue based on the first updating distribution characteristic and the third updating distribution characteristic, wherein a distribution coincidence interval between the third updating distribution characteristic and the second updating distribution characteristic is matched with a distribution coincidence interval between the first updating distribution characteristic and the second updating distribution characteristic;

if so, continuously adopting the first updating distribution characteristic and the second updating distribution characteristic to add the first cooperative definition item and the second cooperative definition item to the adaptation updating queue.

In a possible implementation manner of the first aspect, the step of obtaining suggested collaborative service information for a collaborative response object in advance includes:

in a state that any one collaborative processing plan of the e-commerce collaborative terminal is initiated, determining domain session service information in a domain object of a first collaborative information flow node covered by the collaborative processing plan from a corresponding block chain, and determining a first session material set capable of representing the domain session service information, wherein the domain session service information corresponds to a domain session service;

determining a domain object of a second collaborative information flow node from the block chain to obtain a second session material set capable of representing the domain object of the second collaborative information flow node, wherein the domain object of the second collaborative information flow node is the domain object of the collaborative information flow node associated with the domain object of the first collaborative information flow node;

matching the second session material set with the first session material set, and selecting a target session material matched with the session material in the first session material set from the second session material set based on a matching result to obtain a target session material set;

determining target domain session service information matched with the domain session service information of the domain object of the first collaborative information stream node in the domain objects of the second collaborative information stream node based on the target session material set, wherein the target domain session service information corresponds to domain session service matched with the domain session service of the domain session service information in the domain object of the first collaborative information stream node;

updating the cooperative processing cloud computing service of the electronic commerce cooperative terminal according to big data configuration information corresponding to target domain session service information corresponding to all initiated cooperative processing plans of the electronic commerce cooperative terminal;

acquiring cooperative plan execution information of a cooperative response object of the electronic commerce cooperative terminal aiming at the cooperative processing cloud computing service, and generating a cooperative operation item parameter of the cooperative response object;

acquiring cooperative flow distribution information and cooperative sharing configuration information of the cooperative response object according to the cooperative operation item parameter of the cooperative response object, wherein the cooperative flow distribution information comprises a flow distribution object and a flow distribution coverage service, and the cooperative sharing configuration information comprises a sharing configuration object and a sharing configuration coverage service;

constructing a cooperative service relationship between the process distribution object and the shared configuration object according to the process distribution coverage service and the shared configuration coverage service, and extracting features based on the process distribution object, the shared configuration object and the cooperative service relationship to obtain candidate process distribution features and candidate shared configuration features of the cooperative response object;

and generating suggested cooperative service information of the cooperative response object based on the candidate process distribution characteristics and the candidate sharing configuration characteristics, and displaying the suggested cooperative service information.

In a second aspect, an embodiment of the present application further provides an information flow processing apparatus based on big data and cloud computing, which is applied to an e-commerce collaboration platform, where the e-commerce collaboration platform is communicatively connected to a plurality of cosmetic e-commerce collaboration terminals, and the apparatus includes:

the first acquisition module is used for acquiring suggested cooperative service information aiming at a cooperative response object in advance;

a second obtaining module, configured to obtain information transfer link information and a collaborative definition form that can be started for the suggested collaborative service information at present, perform collaborative association authentication on the information transfer link information and the collaborative definition form, respectively, and obtain a desktop virtual object of an information transfer link according to the information transfer link information subjected to the collaborative association authentication;

the fusion module is used for fusing the desktop virtual object of the information circulation link with the collaborative definition form subjected to collaborative association authentication to obtain a collaborative definition fusion form;

and the adaptation updating module is used for performing adaptation updating on the global collaborative definition form corresponding to the suggested collaborative service information according to the collaborative definition fusion form, acquiring a target global collaborative definition form, generating service template information of a service node corresponding to the currently enabled collaborative definition form based on the target global collaborative definition form, and completing collaborative service configuration of the suggested collaborative service.

In a third aspect, an embodiment of the present application further provides an information flow processing system based on big data and cloud computing, where the information flow processing system based on big data and cloud computing includes an e-commerce collaboration platform and a plurality of e-commerce collaboration terminals communicatively connected to the e-commerce collaboration platform;

the electronic commerce collaboration platform is used for:

In a fourth aspect, an embodiment of the present application further provides an electronic commerce collaboration platform, where the electronic commerce collaboration platform includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to at least one cosmetic electronic commerce collaboration terminal, the machine-readable storage medium is configured to store a program, an instruction, or code, and the processor is configured to execute the program, the instruction, or the code in the machine-readable storage medium to perform the big data and cloud computing based business processing method in the first aspect or any one of the possible implementation manners in the first aspect.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed, the computer is caused to execute the business processing method based on big data and cloud computing in the first aspect or any one of the possible implementation manners of the first aspect.

Based on any one of the above aspects, the information transfer link information and the collaborative definition form which can be started at present are obtained, then the collaborative association authentication is respectively performed on the information transfer link information and the collaborative definition form which is subjected to the collaborative association authentication, and the collaborative definition fusion form is obtained, and the collaborative definition fusion form is actually optimized by using the information transfer link information which is subjected to the collaborative association authentication, that is, the collaborative definition form which can be started is optimized. On the basis, after the fusion map subjected to local optimization is obtained, the global cooperative definition form is subjected to adaptive updating according to the cooperative definition fusion form, so that the target global cooperative definition form is obtained. Therefore, by fusing the information circulation link information and the collaborative definition form, the problem that the collaborative definition form is prone to errors in a form structure initialized service scene can be overcome, service adaptation of collaborative elements in the collaborative definition form is achieved, meanwhile, a target global collaborative definition form with global consistency can be output, service template information of service nodes corresponding to the currently enabled collaborative definition form can be generated according to the target global collaborative definition form, collaborative service configuration of suggested collaborative services is completed, and further, the probability of errors in service configuration of a collaborative response object in the using process is reduced.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that need to be called in the embodiments are briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

Fig. 1 is a schematic application scenario diagram of an information flow processing system based on big data and cloud computing according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a business processing method based on big data and cloud computing according to an embodiment of the present application;

fig. 3 is a schematic functional module diagram of an information flow processing apparatus based on big data and cloud computing according to an embodiment of the present application;

fig. 4 is a schematic block diagram of structural components of an e-commerce collaboration platform for implementing the business processing method based on big data and cloud computing according to the embodiment of the present application.

Detailed Description

The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.

Fig. 1 is an interaction diagram of an information flow processing system 10 based on big data and cloud computing according to an embodiment of the present application. The big data and cloud computing based information flow processing system 10 may include an e-commerce collaboration platform 100 and an e-commerce collaboration terminal 200 communicatively connected to the e-commerce collaboration platform 100. The big data and cloud computing based information flow processing system 10 shown in fig. 1 is only one possible example, and in other possible embodiments, the big data and cloud computing based information flow processing system 10 may also include only a portion of the components shown in fig. 1 or may also include other components.

In this embodiment, the e-commerce collaboration terminal 200 may include a mobile device, a tablet computer, a laptop computer, etc., or any combination thereof. In some embodiments, the mobile device may include an internet of things device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the internet of things device may include a control device of a smart appliance device, a smart monitoring device, a smart television, a smart camera, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, virtual reality devices and augmented reality devices may include various virtual reality products and the like.

In this embodiment, the electronic commerce collaboration platform 100 and the electronic commerce collaboration terminal 200 in the big data and cloud computing based information flow processing system 10 may cooperatively execute the big data and cloud computing based service processing method described in the following method embodiment, and for the specific steps of the electronic commerce collaboration platform 100 and the electronic commerce collaboration terminal 200, reference may be made to the detailed description of the following method embodiment.

In order to solve the technical problem in the foregoing background, fig. 2 is a schematic flowchart of a business processing method based on big data and cloud computing according to an embodiment of the present application, and the business processing method based on big data and cloud computing according to the present embodiment may be executed by the electronic commerce collaboration platform 100 shown in fig. 1, and the business processing method based on big data and cloud computing is described in detail below.

Step S110, acquiring the suggested cooperative service information aiming at the cooperative response object in advance.

Step S120, information of an information transfer link and a collaborative definition form which can be started aiming at the suggested collaborative service information are obtained, collaborative association authentication is respectively carried out on the information transfer link and the collaborative definition form, and a desktop virtual object of the information transfer link is obtained according to the information of the information transfer link after the collaborative association authentication.

And step S130, fusing the desktop virtual object of the information circulation link with the collaborative definition form after collaborative association authentication to obtain a collaborative definition fusion form.

Step S140, according to the collaborative definition fusion form, performing adaptive updating on the global collaborative definition form corresponding to the suggested collaborative service information to obtain a target global collaborative definition form, and generating the service template information of the service node corresponding to the currently enabled collaborative definition form based on the target global collaborative definition form to complete the collaborative service configuration of the suggested collaborative service.

In this embodiment, the collaborative response object may refer to a service user of the e-commerce collaborative terminal 200, such as an e-commerce merchant, an e-commerce user, or may also be some collaborative groups, such as an e-commerce merchant group composed of the same e-commerce operation plan, and the like, which is not limited specifically.

In this embodiment, for step S120, the cooperative definition service nodes in the recommended cooperative service information that can provide the related cooperative e-commerce service are not all in the activated state, and some cooperative definition service nodes may be in the maintenance state or in the specific authority state, so that it is first necessary to acquire the cooperative definition service node that can be activated for the recommended cooperative service information, and then acquire the information circulation link information and the cooperative definition form associated with the cooperative definition service node. It should be noted that the information transfer link information may refer to link information that needs to be transferred in the collaborative service process, the link information may represent business objects before and after each information transfer and collaborative processing information of each business object, and the collaborative definition form may represent specific collaborative rule configuration information, configuration information of a collaborative manner, and the like. Based on this, it can be known from the technical problems known by referring to the foregoing background art that, in the related art, in a service scenario in which a form structure is initialized (for example, when used for the first time), if an information transfer link is not effectively combined for updating, an error is very likely to occur, because the information transfer link can reflect a cooperation rule, an operation condition of a cooperation mode, and an operation policy in a cooperation process, and if optimization is not performed, the probability of an error in service configuration of a subsequent cooperative response object in a use process may be greatly increased.

In this embodiment, the global collaborative definition form corresponding to the suggested collaborative service information may refer to a total collaborative definition form to which a collaborative definition service node of a related collaborative e-commerce service provided by the suggested collaborative service information belongs, and the global collaborative definition form may represent a collaborative definition form of a collaborative e-commerce service subscribed by the entire collaborative response object, but is not generally used at all, however, considering that a user may generally select the global collaborative definition form to perform overall collaborative configuration, it is further necessary to output a target global collaborative definition form with global consistency while performing service adaptation on collaborative elements in the collaborative definition form, so as to complete overall collaborative service configuration of the suggested collaborative service.

In this embodiment, the service template information may refer to filling update content information for the service configuration template, so that the cooperative service configuration of the suggested cooperative service is completed after the filling update of the relevant service configuration template is performed.

Based on the above steps, in this embodiment, the information transfer link information and the collaborative definition form that can be currently enabled are obtained, and then the collaborative association authentication is respectively performed on the information transfer link information and the collaborative definition form that is subjected to the collaborative association authentication, so as to obtain the collaborative definition fusion form, where the collaborative definition fusion form is actually obtained by optimizing the collaborative definition form that is subjected to the collaborative association authentication by using the information transfer link information that is subjected to the collaborative association authentication, that is, by optimizing the collaborative definition form that can be enabled. On the basis, after the fusion map subjected to local optimization is obtained, the global cooperative definition form is subjected to adaptive updating according to the cooperative definition fusion form, so that the target global cooperative definition form is obtained. Therefore, by fusing the information circulation link information and the collaborative definition form, the problem that the collaborative definition form is prone to errors in a form structure initialized service scene can be overcome, service adaptation of collaborative elements in the collaborative definition form is achieved, meanwhile, a target global collaborative definition form with global consistency can be output, service template information of service nodes corresponding to the currently enabled collaborative definition form can be generated according to the target global collaborative definition form, collaborative service configuration of suggested collaborative services is completed, and further, the probability of errors in service configuration of a collaborative response object in the using process is reduced.

In a possible implementation manner, in step S120, in the process of performing collaborative association authentication on the information transfer link information, feature extraction may be performed on the information transfer link information to obtain transfer link features of the information transfer link information. Then, specific circulation link characteristics which meet preset conditions are screened out from circulation link characteristics of the information circulation link information, and a description vector set of the specific circulation link characteristics is calculated. Therefore, the information circulation link information can be subjected to feature matching of the preset collaborative tag according to the description vector set, and the information circulation link information is subjected to collaborative association authentication according to the matched collaborative tag obtained after feature matching.

In a possible implementation manner, for step S120, in the process of performing collaborative association authentication on the collaborative definition form, the structured form template and the unstructured form template may be extracted from the collaborative definition form, and a single template service node and a composite template service node in the structured form template are distinguished according to a preset distinguishing label. In this way, by distinguishing the single template service node and the composite template service node in the structured form template, the matching workload can be reduced when the collaborative association authentication is performed on the collaborative definition form. On the basis, feature extraction is respectively carried out on the single template service node and the composite template service node, and template service features of the single template service node and the composite template service node are obtained. Then, specific template business features meeting preset conditions are screened out from the template business features, and a description vector set of the template business features is calculated. Therefore, the characteristic matching of the preset collaborative tags can be performed on the collaborative definition form according to the description vector set, and the collaborative association authentication can be performed on the collaborative definition form according to the matched collaborative tags acquired after the characteristic matching.

In a possible implementation manner, still referring to step S120, in the process of obtaining the desktop virtual object of the information flow link according to the information flow link information after the collaborative association authentication, the following exemplary sub-steps may be implemented.

And a substep S121, inserting the first information circulation link in the information of the information circulation links after the collaborative association authentication into a desktop virtual operation environment as a key information circulation link.

And a substep S122, taking the first information transfer link as a reference information transfer link, and performing transfer link characteristic matching with the newly added current information transfer link.

And a substep S123 of calculating a link level attribution parameter and/or a link flow direction business attribution parameter between the first information transfer link and the current information transfer link according to the transfer link characteristics matched between the first information transfer link and the current information transfer link.

For example, when a link level attribution parameter between a first information transfer link and a current information transfer link is calculated, and the link level attribution parameter covers a first attribution parameter range, it is determined that the current information transfer link is a key information transfer link.

For another example, when it is calculated that a link between the first information transfer link and the current information transfer link flows to the service attribution parameter, and the link flow to the service attribution parameter covers the second attribution parameter range, it is determined that the current information transfer link is the key information transfer link.

For another example, when the link level attribution parameter and the link flow direction service attribution parameter between the first information transfer link and the current information transfer link are calculated, and the link level attribution parameter and the link flow direction service attribution parameter both cover the corresponding attribution parameter range, when the current information transfer link is determined to be the key information transfer link, the current information transfer link is inserted into the desktop virtual operation environment, and the above steps are repeatedly executed with the next newly added information transfer link until all the information transfer links in the information of the information transfer link are processed, and the information transfer operation simulation of the desktop virtual operation environment is completed.

And a substep S124, in the information flow operation simulation process of the desktop virtual operation environment, after determining that the desktop virtual operation environment is inserted into a new key information flow link, selecting other key information flow links satisfying the operation association relationship with the new key information flow link from the currently acquired desktop virtual operation environment.

And a substep S125, estimating link sharing parameters among all key information transfer links meeting the operation association relationship, and acquiring a desktop virtual object called by the information transfer links in the operation process when determining that the link sharing parameters fall into a preset range.

In a possible implementation manner, further aiming at step S130, in the process of fusing the desktop virtual object of the information transfer link with the collaborative definition form after the collaborative association authentication and acquiring the collaborative definition fused form, the following exemplary sub-steps may be implemented.

And a substep S131, extracting desktop virtual circulation simulation information of a desktop virtual object of the information circulation link, performing event trigger track extraction on the desktop virtual circulation simulation information, performing track feature recognition on a first event trigger track corresponding to the obtained desktop virtual circulation simulation information, and obtaining a first fusion track node set corresponding to the desktop virtual circulation simulation information according to the recognized track features.

And a substep S132, performing event triggering trajectory extraction on the collaborative definition form after the collaborative association authentication, performing trajectory feature identification on a second event triggering trajectory corresponding to the obtained collaborative definition form after the collaborative association authentication, and obtaining a second fusion trajectory node set corresponding to the collaborative definition form after the collaborative association authentication according to the identified trajectory feature.

And a substep S133, obtaining first service aggregation distribution information stored in the first fusion trajectory node set, and converting the first service aggregation distribution information into a corresponding first service aggregation distribution vector.

And a substep S134, obtaining second service aggregate distribution information stored in each of the multiple fusion track node objects in the second fusion track node set, and converting each second service aggregate distribution information into a corresponding second service aggregate distribution vector.

And a substep S135, calculating a fusion distribution vector of each second service aggregation distribution vector and the first service aggregation distribution vector, sorting the fusion distribution vectors corresponding to each second service aggregation distribution vector, and selecting a plurality of similar service aggregation distribution vectors from the plurality of second service aggregation distribution vectors according to the sorting result.

And a substep S136, performing genetic crossing algorithm processing on the plurality of similar service aggregation distribution vectors to obtain genetic crossing feature vectors, performing label portrait calculation on the collaborative definition feature vectors of the first fusion track node set and the second fusion track node set, and obtaining event behavior attributes according to the calculated label portrait. The event behavior attribute comprises attribute information corresponding to each fusion track node object in the second fusion track node set.

And a substep S137 of calculating a fusion eigenvector of the genetic cross eigenvector and the event behavior attribute, and using the calculated result as a service aggregation description vector of the first service aggregation distribution information.

And a substep S138, fusing the service aggregation description vector to a desktop virtual circulation simulation label set in the desktop virtual circulation simulation information to obtain a desktop virtual circulation service feature set, and performing track feature identification on the desktop virtual circulation service feature set to obtain a reference track feature.

And a substep S139, obtaining a continuous collaborative event set corresponding to the desktop virtual flow simulation information according to the first fusion track node set, the second fusion track node set and the reference track characteristics.

For example, in one possible example, the first fused track node set and the second fused track node set may be respectively mapped to each dynamic track node in the reference track feature, and the collaborative event information of each dynamic track node corresponding to the first fused track node set and the second fused track node set respectively is obtained.

And then, summarizing the collaborative event information of each dynamic track node corresponding to the first fusion track node set and the second fusion track node set respectively to obtain a continuous collaborative event set corresponding to the desktop virtual flow simulation information.

And in the substep S1391, fusing each continuous collaborative event node in the continuous collaborative event set corresponding to the desktop virtual flow simulation information with the form template position of the corresponding collaborative event node in the collaborative definition form after collaborative association authentication to obtain a collaborative definition fused form.

In one possible implementation, further to step S140, may be implemented by the following exemplary sub-steps.

The substep S141 is to obtain each first collaboration definition event distribution in the collaboration definition fusion form and at least one second collaboration definition event distribution in the global collaboration definition form associated with each first collaboration definition event distribution, where the first collaboration definition event distribution includes a first event distribution field, and the second collaboration definition event distribution includes a second event distribution field.

The substep S142 is to fuse the first collaborative definition event with the collaborative definition event elements corresponding to the at least one second collaborative definition event distribution according to each identical collaborative definition event element to obtain a fused collaborative definition event.

The substep S143 adds the first cooperation defining item and the at least one second cooperation defining item distribution to a preset adaptation updating queue, and establishes a plurality of first adaptation updating parameters of the first cooperation defining item and a plurality of second adaptation updating parameters of the second cooperation defining item distribution based on the adaptation updating queue.

For example, extended update configuration information that adapts the update queue may be determined. The extended updating configuration information is used for representing an adaptation updating target distributed when the adaptation updating queue processes the collaborative definition items added successively, and the adaptation updating target is used for representing an updating distribution characteristic when the adaptation updating queue updates the collaborative definition items added.

On the basis, based on the extended update configuration information, a first update distribution characteristic corresponding to adding the first cooperation definition item to the adaptation update queue and a second update distribution characteristic corresponding to adding the second cooperation definition item to the adaptation update queue are determined.

Next, it may be determined whether there is an extended association service when adding the first and second co-definition transaction distributions to the adaptation update queue according to the first and second update distribution characteristics. The service condition of the extended association exists in the updating process of the adaptive updating queue.

If no expansion associated service exists when the first cooperation definition item and the second cooperation definition item are added to the adaptation updating queue, the second updating distribution characteristic is adjusted to obtain a third updating distribution characteristic, and the first cooperation definition item and the second cooperation definition item are added to the adaptation updating queue based on the first updating distribution characteristic and the third updating distribution characteristic, wherein a distribution coincidence interval between the third updating distribution characteristic and the second updating distribution characteristic is matched with a distribution coincidence interval between the first updating distribution characteristic and the second updating distribution characteristic.

If there is an extended association service when the first and second co-definition entries are added to the adaptation update queue, the first and second co-definition entries are added to the adaptation update queue continuously using the first and second update distribution characteristics.

Substep S144, determining first field update rule information of the first event distribution field according to each first adaptive update parameter, determining second field update rule information of the second event distribution field according to each second adaptive update parameter, mapping the first field update rule information and the second field update rule information to the global update model to obtain a first collaborative definition event feature corresponding to the first field update rule information and a second collaborative definition event distribution feature corresponding to the second field update rule information, determining a plurality of global update objects corresponding to the fusion collaborative definition event of the global update model, summarizing the plurality of global update objects to obtain at least a plurality of global update service lists of different types, and updating, for each global update service list, first update service content corresponding to the first collaborative definition event feature of each global update object in the global update service list and corresponding to the first collaborative definition event feature of each global update object in the preset update process Second update service content that is featured in a second co-defined transaction.

And a substep S145, executing updating in the global cooperative definition form corresponding to the proposed cooperative service information according to the updating results of the first updating service content and the second updating service content corresponding to each global updating object in the global updating service list, so as to obtain a target global cooperative definition form.

And a substep S146, generating the cooperative definition form content of the service node corresponding to the currently enabled cooperative definition form based on the target global cooperative definition form, taking the cooperative definition form content as corresponding service template information, and completing cooperative service configuration of the suggested cooperative service based on the service template information.

Further to step S110, based on the above description, the following exemplary sub-steps may be implemented.

In the state where any one of the collaborative processing plans of the e-commerce collaborative terminal 200 is initiated, the sub-step S111 determines, from the corresponding block chain, domain session service information in the domain object of the first collaborative information flow node covered by the collaborative processing plan, and determines a first session material set capable of representing the domain session service information.

For example, the domain session service information in the domain object of the first collaborative information stream node corresponding to the collaborative plan execution node included in the collaborative processing plan may be determined from the corresponding blockchain, and the first set of session materials capable of representing the domain session service information may be determined.

And a substep S112, determining the domain object of the second collaborative information stream node from the blockchain, and obtaining a second session material set capable of representing the domain object of the second collaborative information stream node.

And the domain object of the second collaborative information flow node is the domain object of the collaborative information flow node associated with the domain object of the first collaborative information flow node. For example, the domain object of the collaborative information flow node associated with the domain object of the first collaborative information flow node may refer to a domain object of a collaborative information flow node in which there is a same kind of collaborative processing plan follow-up behavior.

And a substep S113, matching the second session material set with the first session material set, and selecting a target session material matched with the session material in the first session material set from the second session material set based on the matching result to obtain a target session material set.

And a substep S114 of determining target domain session service information matched with the domain session service information of the domain object of the first collaborative information stream node in the domain objects of the second collaborative information stream node based on the target session material set.

Step S115, updating the cooperative processing cloud computing service of the e-commerce cooperative terminal 200 according to the big data configuration information corresponding to the target domain session service information corresponding to all the initiated cooperative processing plans of the e-commerce cooperative terminal 200.

Step S116, acquiring cooperative plan execution information of the cooperative response object of the e-commerce cooperative terminal 200 for the cooperative processing cloud computing service, and generating a cooperative operation item parameter of the cooperative response object.

Step S117, obtaining the cooperative flow allocation information and the cooperative sharing configuration information of the cooperative response object according to the cooperative operation item parameter of the cooperative response object, where the cooperative flow allocation information includes a flow allocation object and a flow allocation overlay service, and the cooperative sharing configuration information includes a sharing configuration object and a sharing configuration overlay service.

Step S118, constructing a cooperative service relationship between the process distribution object and the shared configuration object according to the process distribution coverage service and the shared configuration coverage service, and performing feature extraction based on the process distribution object, the shared configuration object and the cooperative service relationship to obtain candidate process distribution features and candidate shared configuration features of the cooperative response object.

And step S119, generating suggested cooperative service information of the cooperative response object based on the candidate process distribution characteristics and the candidate sharing configuration characteristics, and displaying the suggested cooperative service information.

The target domain session service information corresponds to a domain session service matched with the domain session service of the domain session service information in the domain object of the first collaborative information flow node.

In this embodiment, the collaborative information flow node may refer to a node through which the collaborative processing plan content is related during the execution process of the collaborative processing plan, for example, an information flow node through a collaborative site.

In this embodiment, the domain session service information corresponds to a domain session service, and the domain session service may refer to a service object that initiates a working domain session in the execution process of the collaborative plan, for example, a service object of a certain collaborative conference working domain, a service object of a certain collaborative orchestration working domain, and the like.

In this embodiment, the session material may refer to session material information used for reflecting the content of the call material of the domain session service information, for example, but not limited to, the session material information of the audio/video call service, the session material information of the online office call service, and the like.

In this embodiment, the cooperative processing plan may refer to a plan from an initial originating node to an ending node when initiating a working domain session in the execution process of the cooperative plan, and the definitions of the initial originating node and the ending node may be flexibly set, which is not limited herein in detail.

In this embodiment, the cooperative processing cloud computing service subscribed by the e-commerce cooperative terminal 200 may refer to a cooperative operation service that is registered in advance by the e-commerce cooperative terminal 200 and may be used for performing cloud computing processing (for example, information distribution, information coordination, and the like), and may specifically be operated in the form of a software service.

Based on the above steps, after determining the domain session service information in the domain object of the first collaborative information flow node covered by the collaborative processing plan and then determining the target domain session service information in the domain object of the second collaborative information flow node that matches the domain session service information of the domain object of the first collaborative information flow node, the collaborative processing cloud computing service of the e-commerce collaborative terminal 200 is updated. In this way, the updating change condition of the domain object of the collaborative information flow node associated with the collaborative processing plan is considered, so that the subsequent collaborative processing cloud computing service can be updated by combining the target domain session service information reflecting the dynamic change of the business, and the coverage range of the subsequent collaborative updating is further expanded.

In addition, by considering the cooperative flow distribution information of the cooperative response object and the cooperative service relationship of the overlay service of the cooperative sharing configuration information, and the mutual influence relationship between the flow distribution information and the sharing configuration information, the suggested cooperative service information meeting the user requirements can be accurately generated.

For example, in this embodiment, the collaboration plan execution information may be used to represent execution process information, such as to-be-handled task process information, including a number of front nodes, a business name, a business description, a sponsor, a launch time, an arrival time, and the like, generated by a collaboration response object of the e-commerce collaboration terminal 200 during execution of the collaboration processing cloud computing service, and is not limited in this respect. In addition, the cooperative operation item parameter of the cooperative response object may be used to characterize the content of the cooperative operation item, such as the cooperative operation behavior information and the cooperative sharing configuration information, of the cooperative response object performed in the cooperative execution process for the cooperative processing cloud computing service. Therefore, the cooperative operation behavior information and the cooperative sharing configuration information of the cooperative response object can be specifically acquired according to the cooperative operation item parameter of the cooperative response object.

For example, in this embodiment, the cooperative operation behavior information may include, for example, a business approval transaction object and a business approval transaction flow form, and the cooperative shared configuration information may include, for example, a shared configuration object and a shared configuration overlay service.

In some possible implementations, for example, with respect to step S119, a response service feature of the collaborative response object may be extracted to obtain a response service feature of the collaborative response object, and then feature fusion may be performed on the response service feature of the collaborative response object, the generated collaborative description feature vector, and the candidate shared configuration feature to obtain a fusion feature, so as to generate suggested collaborative service information of the collaborative response object according to the fusion feature. For example, the suggested collaborative service information of the collaborative response object may be generated according to the collaborative suggestion tag characterized by each feature vector in the fused features.

Based on the above steps, in this embodiment, the cooperative operation item parameter of the cooperative response object is generated by obtaining the cooperative plan execution information of the cooperative response object of the e-commerce cooperative terminal 200 for the cooperative processing cloud computing service, so that the cooperative service relationship between the cooperative operation behavior information of the cooperative response object in the actual service use process and the coverage service of the cooperative sharing configuration information and the mutual influence relationship between the service approval information and the sharing configuration information are further considered based on the cooperative operation item parameter, and the suggested cooperative service information meeting the user requirements can be accurately generated. Therefore, the suggested collaborative service information meeting the user requirements is accurately generated and then is further suggested and displayed, and compared with the traditional mode of executing global analysis of information aiming at the collaborative plan, the accuracy of suggested and displayed information can be improved.

For example, in a possible implementation manner, for step S114, the embodiment may determine the key session material based on the first session material in the first session material set and the target session material corresponding to the first session material in the target session material set, so as to obtain the key session material set. On the basis, the target key session materials meeting the preset rules can be selected from the key session material set. For example, the predetermined rule may indicate that the feature importance level of the conversation material satisfies the predetermined importance level.

Therefore, the target domain session service information in the domain object of the second collaborative information stream node can be determined based on the first session material set and the target key session material, wherein the target key session material is located in the key session running service of the target domain session service information. For example, the target domain session service information in the domain object of the second collaborative information stream node may be determined based on the first set of session materials and the target domain session services characterized by the target key session materials.

For example, in one possible implementation, step S115 may be implemented by the following exemplary substeps, which are described in detail below.

In the substep S1151, the target domain session service information corresponding to all initiated collaborative processing plans of the e-commerce collaborative terminal 200 is input into the collaborative processing cloud computing service subscribed by the e-commerce collaborative terminal 200, and a collaborative interaction update record obtained by identifying the target domain session service information is obtained according to the collaborative configuration mode corresponding to the collaborative processing cloud computing service.

For example, the collaborative configuration mode corresponding to the collaborative processing cloud computing service may include the recognition matching rule features of the multiple push samples, so that the collaborative interaction update record obtained by recognizing the target domain session service information may be obtained based on the recognition matching rule features of the multiple push samples.

And a substep S1152 of obtaining a plurality of collaborative linkage event analysis information obtained by performing collaborative linkage event analysis on the collaborative interaction update record.

For example, each kind of collaborative linkage event analysis information is composed of collaborative linkage event tags of collaborative interaction update records.

And a substep S1153 of determining target collaborative linkage event analysis information satisfying the target rule among the plurality of collaborative linkage event analysis information, and searching for a target collaborative linkage event tag among collaborative linkage event tags of the target collaborative linkage event analysis information in the first collaborative definition item index area.

For example, the first collaborative definition event index area is used for storing collaborative linkage event tags with knowledge-graph information, and the knowledge-graph information is used for indicating knowledge-graph contents to which the collaborative linkage event tags with knowledge-graph information belong.

In the sub-step S1155, in the case that the target collaborative linkage event tag is found in the first collaborative definition event index area, the target collaborative linkage event tag having the target knowledge map information in the first collaborative definition event index area is determined as an update optimization tag of the collaborative interaction update record.

For example, the knowledge-graph information includes target knowledge-graph information that may be used to indicate knowledge-graph content to which the target collaborative linkage event label belongs.

And a substep S1156, determining a target knowledge graph updating node for updating the optimization tag according to the target knowledge graph information, and determining a knowledge graph updating node for updating the record in the cooperative interaction according to the target knowledge graph updating node for updating the optimization tag.

And a substep S1157, generating a cooperative processing cloud computing service of the e-commerce cooperative terminal 200 according to the knowledge graph update node of the cooperative interaction update record.

Based on the sub-steps, the updated optimized labels of the collaborative interaction updated records are provided with the knowledge graph information used for labeling the knowledge graph content to which the updated optimized labels belong, and the knowledge graph updated nodes of the collaborative interaction updated records are determined, so that the correct identification of the knowledge graph updated nodes of the collaborative interaction updated records is ensured, the problem that the knowledge graph content collaborative linkage event labels are not completely covered due to a full-quantity word bank in the related technology is solved, and the efficiency of identifying the knowledge graph updated nodes is improved.

For example, in one possible implementation manner, in step S118, in the process of performing feature extraction based on the business approval transaction object, the shared configuration object, and the collaborative service relationship to obtain the generated collaborative description feature vector and the candidate shared configuration feature of the collaborative response object, the following exemplary sub-steps may be implemented, which are described in detail below.

And a substep S1181 of extracting the characteristics of the business approval transacted object according to the cooperative service relationship to obtain a unit cooperative description characteristic vector of the business approval transacted object.

And a substep S1182 of determining a global cooperative description feature vector based on the unit cooperative description feature vector of the business approval transaction object, determining a recent business approval transaction object in the business approval transaction object according to the business approval transaction process form, and determining the unit cooperative description feature vector corresponding to the recent business approval transaction object.

And a substep S1183 of fusing the global cooperative description feature vector and the unit cooperative description feature vector corresponding to the recent business approval transaction object to obtain a generated cooperative description feature vector of the cooperative response object.

And a substep S1184 of extracting the features of the shared configuration object according to the collaborative service relationship to obtain the unit shared configuration features of the shared configuration object.

Substep S1185, determining a global sharing configuration feature based on the unit sharing configuration feature of the sharing configuration object, determining a recent sharing configuration object in the sharing configuration object according to the sharing configuration coverage service, and determining the unit sharing configuration feature corresponding to the recent sharing configuration object.

And a substep S1186 of fusing the global shared configuration feature and the unit shared configuration feature corresponding to the recent shared configuration object and collaboratively responding to the candidate shared configuration feature of the object.

For example, in one possible implementation, and still with respect to step S118, the collaborative services relationship includes a collaborative services connectivity graph including a plurality of collaborative service components and a collaboration master key connecting the two collaborative service components.

In the process of establishing the cooperative service relationship between the business approval transacting object and the shared configuration object according to the business approval transacting flow form and the shared configuration coverage business, the business approval transacting object and the shared configuration object can be used as cooperative service components in the cooperative service communication map, and then a cooperative main key between the cooperative service components in the cooperative service communication map is established according to the business approval transacting flow form and the shared configuration coverage business.

The collaboration service component may include a business approval transacting object element and a shared configuration object element.

Therefore, in the process of establishing a cooperative main key between cooperative service components in a cooperative service communication map according to the service approval process flow form and the shared configuration coverage service, the service approval process objects can be subjected to coverage service sequence ordering according to the service approval process flow form to obtain a service approval process ordering result, then service approval process object elements in the cooperative service communication map are connected pairwise according to the service approval process ordering result, and the shared configuration objects are subjected to coverage service sequence ordering according to the shared configuration coverage service to obtain a shared configuration ordering result.

In this way, the shared configuration object elements in the collaborative service connection map can be connected pairwise according to the shared configuration sequencing result, meanwhile, the nodes in the collaborative service connection map are sequentially sequenced in the covering service mode according to the service approval process flow form and the shared configuration covering service, after the global sequencing result is obtained, the nodes in the collaborative service connection map are connected pairwise according to the global sequencing result, and therefore the collaborative service relationship between the service approval process object and the shared configuration object can be obtained.

Fig. 3 is a schematic diagram of functional modules of an information flow processing apparatus 300 based on big data and cloud computing according to an embodiment of the present disclosure, and in this embodiment, the information flow processing apparatus 300 based on big data and cloud computing may be divided into the functional modules according to an embodiment of a method executed by the e-commerce collaboration platform 100, that is, the following functional modules corresponding to the information flow processing apparatus 300 based on big data and cloud computing may be used to execute each embodiment of the method executed by the e-commerce collaboration platform 100. The big data and cloud computing-based information flow processing apparatus 300 may include a first obtaining module 310, a second obtaining module 320, a fusing module 330, and an adaptation updating module 340, where functions of the functional modules of the big data and cloud computing-based information flow processing apparatus 300 are described in detail below.

A first obtaining module 310, configured to obtain suggested collaboration service information for the collaboration response object in advance. The first obtaining module 310 may be configured to perform the step S110, and for a detailed implementation of the first obtaining module 310, reference may be made to the detailed description of the step S110.

The second obtaining module 320 is configured to obtain information transfer link information and a collaborative definition form that can be enabled for the suggested collaborative service information at present, perform collaborative association authentication on the information transfer link information and the collaborative definition form, and obtain a desktop virtual object of the information transfer link according to the information transfer link information after the collaborative association authentication. The second obtaining module 320 may be configured to perform the step S120, and for a detailed implementation of the second obtaining module 320, reference may be made to the detailed description of the step S120.

And the fusion module 330 is configured to fuse the desktop virtual object in the information transfer link with the collaborative definition form after the collaborative association authentication, and acquire a collaborative definition fusion form. The fusion module 330 may be configured to perform the step S130, and the detailed implementation of the fusion module 330 may refer to the detailed description of the step S130.

And the adaptation updating module 340 is configured to perform adaptation updating on the global collaborative definition form corresponding to the suggested collaborative service information according to the collaborative definition fusion form, acquire a target global collaborative definition form, generate, based on the target global collaborative definition form, service template information of a service node corresponding to a currently enabled collaborative definition form, and complete collaborative service configuration of the suggested collaborative service. The adaptation updating module 340 may be configured to perform the step S140, and as for the detailed implementation of the adaptation updating module 340, reference may be made to the detailed description of the step S140.

It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical service subscription operation target, or may be physically separated. And these modules may all be implemented in software invoked by a processing element. Or may be implemented entirely in hardware. And part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the first obtaining module 310 may be a separate processing element, or may be integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the first obtaining module 310. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.

For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).

Fig. 4 is a schematic diagram illustrating a hardware structure of the e-commerce collaboration platform 100 for implementing the control device according to the embodiment of the disclosure, and as shown in fig. 4, the e-commerce collaboration platform 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.

In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120 (for example, the first obtaining module 310, the second obtaining module 320, the fusion module 330, and the adaptation update module 340 included in the big data and cloud computing-based information flow processing apparatus 300 shown in fig. 3), so that the processor 110 may execute the big data and cloud computing-based business processing method according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be configured to control the transceiving action of the transceiver 140, so as to perform data transceiving with the foregoing e-commerce collaboration terminal 200.

For a specific implementation process of the processor 110, reference may be made to the above-mentioned method embodiments executed by the e-commerce collaboration platform 100, which implement principles and technical effects similar to each other, and details of this embodiment are not described herein again.

In the embodiment shown in FIG. 4, it should be understood that the Processor may be a global rule superposition matching process (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

The machine-readable storage medium 120 may comprise high-speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.

The bus 130 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 130 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

In addition, an embodiment of the present application further provides a readable storage medium, where a computer executing instruction is stored in the readable storage medium, and when a processor executes the computer executing instruction, the verification processing method based on the block chain offline cooperation is implemented as above.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.

Also, the description uses specific words to describe embodiments of the description. Such as "one possible implementation," "one possible example," and/or "exemplary" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "one possible implementation," "one possible example," and/or "exemplary" at different link levels in this specification are not necessarily referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present description may be illustrated and described in terms of several patentable species or contexts, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereof. Accordingly, aspects of this description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present description may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of this specification may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages. The program code may run entirely on the user's computer, or as a stand-alone software package on the user's computer, partly on the user's computer and partly on a remote computer or entirely on the remote computer or digital financial services terminal. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which the elements and lists are processed, the use of alphanumeric characters, or other designations in this specification is not intended to limit the order in which the processes and methods of this specification are performed, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented through interactive services, they may also be implemented through software-only solutions, such as installing the described system on an existing digital financial services terminal or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. A business processing method based on big data and cloud computing is applied to an electronic commerce collaboration platform, the electronic commerce collaboration platform is connected with a plurality of cosmetic electronic commerce collaboration terminals, and the method comprises the following steps:

2. The big data and cloud computing based business processing method according to claim 1, wherein the step of performing collaborative association authentication on the information circulation link information comprises:

3. The big data and cloud computing based business processing method according to claim 1, wherein the step of performing collaborative association authentication on the collaborative definition form includes:

4. The big data and cloud computing-based business processing method according to claim 2, wherein the step of obtaining a desktop virtual object of an information transfer link according to information of the information transfer link after collaborative association authentication includes:

5. The big data and cloud computing-based business processing method according to claim 3, wherein the step of fusing the desktop virtual object of the information circulation link with the collaborative definition form subjected to collaborative association authentication to obtain the collaborative definition fused form includes:

6. The big data and cloud computing-based business processing method according to claim 5, wherein the step of obtaining the continuous collaborative event set corresponding to the desktop virtual flow simulation information according to the first fusion track node set, the second fusion track node set and the reference track characteristics by fusion comprises:

7. The big data and cloud computing-based business processing method according to any one of claims 1 to 6, wherein the step of performing adaptive update on the global collaborative definition form corresponding to the suggested collaborative service information according to the collaborative definition fusion form to obtain a target global collaborative definition form, and generating business template information of a business node corresponding to a currently enabled collaborative definition form based on the target global collaborative definition form to complete collaborative business configuration of the suggested collaborative service includes:

8. The big data and cloud computing based business processing method according to claim 7, wherein the step of adding the first co-definition item and the at least one second co-definition item distribution to a preset adaptation update queue comprises:

9. The big data and cloud computing based business processing method according to any one of claims 1 to 8, wherein the step of obtaining suggested collaborative service information for collaborative response objects in advance comprises:

10. An e-commerce collaboration platform, comprising a processor, a machine-readable storage medium, and a network interface, wherein the machine-readable storage medium, the network interface, and the processor are connected via a bus system, the network interface is configured to be communicatively connected to at least one cosmetic e-commerce collaboration terminal, the machine-readable storage medium is configured to store a program, instructions, or code, and the processor is configured to execute the program, instructions, or code in the machine-readable storage medium to perform the big data and cloud computing based business processing method of any one of claims 1 to 9.