CN112785194B - Workflow recommendation method and device, readable storage medium and electronic equipment - Google Patents
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Abstract
The application provides a workflow recommendation method, a workflow recommendation device, a readable storage medium and electronic equipment, wherein the workflow recommendation method comprises the following steps: determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the acquired workflows to be recommended, provided by the user, of the sub-requirements and the calling relation among the workflows of the sub-requirements; and sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, and determining at least one workflow to be recommended, which is sequenced before a preset position, as a target workflow to be recommended to the user to be recommended. Therefore, the user can directly recommend at least one target workflow matched with the user requirements according to the multiple sub-requirement workflows provided by the user and the calling relation among the sub-requirement workflows without providing specific description of the requirements by the user, and the recommendation efficiency and the accuracy of the workflows are improved.
Description
Technical Field
The present disclosure relates to the field of service computing and data processing technologies, and in particular, to a workflow recommendation method and apparatus, a readable storage medium, and an electronic device.
Background
With the rapid development of data processing technology, computer science between traditional information technology and services has been derived: the service calculation can provide various solutions of calculation demands, in the service calculation, a series of scientific workflows for acquiring, analyzing, processing and displaying data can be subjected to abstract description according to the logical relationship between the flows and the dependency relationship between scientific research data, so that a user is guided to complete work processing tasks which the user needs to complete according to the corresponding flows, and the calculation demands of the user are met.
At present, when recommending corresponding workflows to users according to user demands, the users are required to provide complete demand descriptions, and when the users describe the demands, the users often cannot give detailed and accurate descriptions for each demand, so that when recommending workflows to the users, the recommended workflows are not matched with the user demands, and the recommendation accuracy of the workflows is seriously affected.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and an apparatus for recommending a workflow, a readable storage medium, and an electronic device, according to a plurality of sub-requirement workflows provided by a user and a call relationship between each sub-requirement workflow, determine that a target workflow meeting a user requirement is recommended to the user, and directly recommend at least one target workflow matching with the user requirement to the user according to the plurality of sub-requirement workflows provided by the user and the call relationship between the sub-requirement workflows without providing a specific description of the requirement by the user, thereby being beneficial to improving the recommendation efficiency and accuracy of the workflow.
The embodiment of the application provides a recommending method of a workflow, which comprises the following steps:
acquiring calling relations among a plurality of sub-requirement workflows provided by users to be recommended;
determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows;
and sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow, and recommending the target workflow to the user to be recommended, so that the user to be recommended completes corresponding work tasks according to the indication of the target workflow.
Further, the workflow model is determined by:
acquiring a plurality of historical workflows, wherein each historical workflow comprises a plurality of service nodes;
combining the historical workflows according to the same service node to obtain a workflow active network;
the workflow model is determined based on the workflow activity network.
Further, the determining, according to the multiple sub-requirement workflows and the calling relations among the sub-requirement workflows, multiple workflows to be recommended from a pre-constructed workflow model includes:
determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model;
and determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-demand workflow and the calling relation among the sub-demand workflows.
Further, determining a plurality of candidate workflows corresponding to each sub-requirement workflow from a pre-constructed workflow model;
for each sub-demand workflow, determining a plurality of service nodes included in the sub-demand workflow and calling relations among the service nodes;
determining a plurality of workflows which comprise a plurality of service nodes from the workflow model, wherein the calling relation among the service nodes is consistent with the calling relation among the service nodes in the strip requirement workflow;
and determining the determined multiple workflows as multiple candidate workflows corresponding to the sub-requirement workflows.
Further, the determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-requirement workflow and the calling relationship between the sub-requirement workflows includes:
for each sub-demand workflow, abstracting each candidate workflow corresponding to the sub-demand workflow into a matching node corresponding to the sub-demand workflow;
and connecting the plurality of matching nodes according to the calling relation among the sub-requirement workflows, and determining a plurality of workflows to be recommended.
The embodiment of the application also provides a recommending device for the workflow, which comprises:
the requirement acquisition module is used for acquiring a plurality of sub-requirement workflows provided by a user to be recommended and calling relations among the sub-requirement workflows;
the flow determining module is used for determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows;
the flow recommending module is used for sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow to be recommended to the user to be recommended, and enabling the user to be recommended to complete corresponding work tasks according to the indication of the target workflow.
Further, the recommending device further comprises a model determining module, wherein the model determining module is used for:
acquiring a plurality of historical workflows, wherein each historical workflow comprises a plurality of service nodes;
combining the historical workflows according to the same service node to obtain a workflow active network;
the workflow model is determined based on the workflow activity network.
Further, when the flow determining module is configured to determine, according to the multiple sub-requirement workflows and the call relationships between the sub-requirement workflows, multiple workflows to be recommended from a workflow model that is built in advance, the flow determining module is configured to:
determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model;
and determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-demand workflow and the calling relation among the sub-demand workflows.
Further, when the flow determining module is configured to determine a plurality of candidate workflows corresponding to each sub-requirement workflow from a pre-constructed workflow model, the flow determining module is configured to:
For each sub-demand workflow, determining a plurality of service nodes included in the sub-demand workflow and calling relations among the service nodes;
determining a plurality of workflows which comprise a plurality of service nodes from the workflow model, wherein the calling relation among the service nodes is consistent with the calling relation among the service nodes in the strip requirement workflow;
and determining the determined multiple workflows as multiple candidate workflows corresponding to the sub-requirement workflows.
Further, when the flow determining module is configured to determine a plurality of workflows to be recommended based on a plurality of candidate workflows corresponding to each sub-requirement workflow and a call relationship between each sub-requirement workflow, the flow determining module is configured to:
for each sub-demand workflow, abstracting each candidate workflow corresponding to the sub-demand workflow into a matching node corresponding to the sub-demand workflow;
and connecting the plurality of matching nodes according to the calling relation among the sub-requirement workflows, and determining a plurality of workflows to be recommended.
The embodiment of the application also provides electronic equipment, which comprises: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory in communication via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the recommended method of workflow as described above.
Embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the workflow recommendation method as described above.
The recommending method, the recommending device, the readable storage medium and the electronic equipment for the workflow provided by the embodiment of the application acquire a plurality of sub-requirement workflows provided by users to be recommended and calling relations among the sub-requirement workflows; determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows; and sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow, and recommending the target workflow to the user to be recommended, so that the user to be recommended completes corresponding work tasks according to the indication of the target workflow.
In this way, according to the acquired multiple sub-requirement workflows provided by the user to be recommended and the call relations among the sub-requirement workflows, multiple workflows to be recommended are determined from a pre-built workflow model, the multiple workflows to be recommended are ordered according to the corresponding path lengths, after the sub-requirement workflows are ordered, at least one workflow to be recommended, which is positioned in front of a preset position, is determined as a target workflow and recommended to the user to be recommended, and therefore at least one target workflow matched with the user requirements is recommended to the user directly according to the multiple sub-requirement workflows provided by the user and the call relations among the sub-requirement workflows, and the recommendation efficiency and the accuracy of the workflows are improved.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a recommendation method for a workflow according to an embodiment of the present application;
FIG. 2 is a flowchart of another method for recommending a process according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a workflow model structure;
FIG. 4 is a schematic structural diagram of a recommending apparatus for workflow according to an embodiment of the present application;
FIG. 5 is a second schematic diagram of a recommending apparatus for workflow according to the embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, every other embodiment that a person skilled in the art would obtain without making any inventive effort is within the scope of protection of the present application.
First, application scenarios applicable to the present application will be described. The method and the device can be applied to the technical fields of service calculation and data processing.
According to research, at the present stage, when recommending corresponding workflows to users according to user demands, the users are required to provide complete demand descriptions, and when the users describe the demands, the users often cannot give detailed and accurate descriptions for each demand, so that when recommending workflows to the users, the recommended workflows are not matched with the user demands, and the recommending efficiency and accuracy of the workflows are seriously affected.
Based on the above, the embodiment of the application provides a workflow recommendation method to improve the recommendation efficiency and accuracy of the workflow.
Referring to fig. 1, fig. 1 is a flowchart of a workflow recommendation method according to an embodiment of the present application. As shown in fig. 1, a workflow recommendation method provided in an embodiment of the present application includes:
s101, acquiring calling relations among a plurality of sub-requirement workflows provided by users to be recommended.
In the step, when the workflow recommendation requirement of the user is received, a plurality of sub-requirement workflows provided by the user to be recommended and a calling relation among the sub-requirement workflows provided by the user are obtained.
Here, the user to be recommended may not completely know all the flow steps to be executed when the task is performed, but knows the multiple sub-requirement workflows and the call relations among the sub-requirement workflows in the task, and can recommend the complete workflow for the user to be recommended according to the multiple sub-requirement workflows and the call relations among the sub-requirement workflows, so as to guide the user to complete the corresponding task according to the service nodes and the service steps in the recommended workflow.
Each sub-demand workflow provided by the user to be recommended comprises at least two service nodes, and each sub-demand workflow is part of a target workflow determined later.
Here, the target workflow may be a scientific workflow, i.e., a workflow in which a series of data management, calculation, analysis, presentation, etc. works encountered in scientific research are changed into individual services, and then these services are combined together through a data link, so that the user's needs in scientific experiments and data processing can be satisfied according to the scientific workflow, so that they can analyze and manage data more easily.
The scientific workflow (Scientific Workflow, SWF) refers to processes such as collection, processing, analysis and visualization of scientific data and sub-processes thereof by complex application programs in scientific research activities, abstract description is carried out according to logical relations among the processes and dependency relations among the scientific data, and computer-implemented automatic or semi-automatic processes of the processes and sub-processes thereof are completed under specific constraint conditions.
Here, the expression form of each sub-requirement workflow provided by the user to be recommended may be a directed graph, and the call relationship between the sub-requirement workflows may be presented in the form of a directed acyclic graph.
Here, the calling relationship between the sub-required workflows may characterize the execution order of the workflows and the circulation direction and circulation path of the data when the workflows are executed.
For example, the user to be recommended provides two sub-requirement workflows, one of the two sub-requirement workflows is a data analysis flow, the other is a data display flow, the calling sequence of the calling relation between the two workflows when working is that the data analysis flow is called for the data display flow, so that the display process in the data display flow is completed, and then the calling relation of the data analysis flow is called for the data display flow between the two sub-requirement workflows.
S102, determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows.
In this step, after determining a plurality of sub-required workflows and a call relationship between each sub-required workflow according to step S101, a plurality of workflows to be recommended, which can be recommended to a user to be recommended, are determined from a workflow model constructed in advance.
After determining a plurality of candidate workflows corresponding to each sub-demand workflow, associating each candidate workflow with other candidate workflows associated with the candidate workflows according to a calling relationship among the sub-demand workflows provided by the user to be recommended, thereby obtaining a plurality of workflows to be recommended.
Here, it is considered that connection is performed according to the shortest path method when connection of a plurality of candidate workflows is performed.
S103, sorting the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended, which is located in front of a preset position in the sorting mode, as a target workflow to be recommended to the user to be recommended, and enabling the user to be recommended to complete corresponding work tasks according to the indication of the target workflow.
In the step, according to the step S102, the path length corresponding to each workflow to be recommended is determined, the determined workflows to be recommended are ranked, at least one workflow to be recommended, which is ranked in front of a preset position, is determined as a target workflow to be recommended to a user to be recommended, so that the user to be recommended completes a work task according to the preset work step according to the obtained indication of the target workflow.
The sorting of the plurality of workflows to be recommended may be to consider the paths of different workflows to be recommended or consider the number of times different workflows to be recommended are called, or comprehensively consider the paths of the workflows to be recommended and the number of times different workflows to be recommended are called, and perform weighted summation on the paths of the workflows to be recommended and the number of times different workflows to be recommended, so as to obtain a sorting basis, and sort the plurality of workflows to be recommended.
Here, the determining of the preset position may be based on a position set by a requirement of the user to be recommended, for example, the user to be recommended needs to obtain 3 target workflows, and determine one target workflow therefrom to perform the task according to the corresponding steps, and then the preset position may be the 3 rd position.
According to the recommending method of the workflow, which is provided by the embodiment of the application, a plurality of sub-requirement workflows provided by users to be recommended and calling relations among the sub-requirement workflows are obtained; determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows; and sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow, and recommending the target workflow to the user to be recommended, so that the user to be recommended completes corresponding work tasks according to the indication of the target workflow.
In this way, according to the acquired multiple sub-requirement workflows provided by the user to be recommended and the call relations among the sub-requirement workflows, multiple workflows to be recommended are determined from a pre-built workflow model, the multiple workflows to be recommended are ordered according to the corresponding path lengths, after the sub-requirement workflows are ordered, at least one workflow to be recommended, which is positioned in front of a preset position, is determined as a target workflow and recommended to the user to be recommended, and therefore at least one target workflow matched with the user requirements is recommended to the user directly according to the multiple sub-requirement workflows provided by the user and the call relations among the sub-requirement workflows, and the recommendation efficiency and the accuracy of the workflows are improved.
Referring to fig. 2, fig. 2 is a flowchart of another workflow recommendation method according to an embodiment of the present application. As shown in fig. 2, a workflow recommendation method provided in an embodiment of the present application includes:
s201, acquiring calling relations among a plurality of sub-requirement workflows provided by users to be recommended.
S202, determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model.
In the step, a plurality of candidate workflows are matched from a pre-constructed workflow model according to a plurality of service nodes and calling relations among the nodes in each sub-requirement workflow provided by a user to be recommended.
Here, since the demands of users in performing work are various, the demands provided by users may exist in the same scientific workflow or may come from a plurality of different scientific workflows, and thus a workflow model needs to be constructed to meet the various demands of users as much as possible.
Wherein, when constructing the workflow model, the method can generate a plurality of historical scientific workflows in a scientific workflow management system (Taverna 2) in an online scientific workflow warehouse (myExperiment) by combining the same service nodes.
Here, the generating workflow model may indicate the call relationship between different service nodes by the direction of the connected edge between different service nodes, and may represent the number of calls between services by the thickness of the edge, the thicker the edge represents the number of calls between corresponding services, and when the workflow recommendation is performed, the number of calls of the same service node in different workflows may be used as one of recommended metrics, generally, the workflow with the number of calls is more easily recommended.
Here, the candidate workflows matched from the workflow model include as many as possible of the bar demand workflows provided by the user to be recommended.
Here, for the process of matching a plurality of workflows to be recommended from the pre-constructed workflow model, the sub-required workflows can be precisely matched according to each sub-required workflow and the VF2 algorithm, and for the sub-required workflows that cannot be precisely matched, the non-precise matching is performed by using the strong simulation algorithm, so that a plurality of candidate workflows satisfying a plurality of sub-required workflows of the user to be recommended can be found as much as possible.
S203, determining a plurality of workflows to be recommended based on a plurality of candidate workflows corresponding to each sub-demand workflow and the calling relation among the sub-demand workflows.
In the step, according to a plurality of candidate workflows corresponding to each sub-requirement workflow and a calling relationship between each sub-requirement workflow provided by a user to be recommended, the plurality of candidate workflows are connected according to the calling relationship between the sub-requirement workflows, so that a plurality of workflows to be recommended are generated.
After determining a plurality of candidate workflows corresponding to each sub-demand workflow, associating each candidate workflow with other candidate workflows associated with the candidate workflows according to a calling relationship among the sub-demand workflows provided by the user to be recommended, thereby obtaining a plurality of workflows to be recommended.
Here, it is considered that connection is performed according to the shortest path method when connection of a plurality of candidate workflows is performed.
S204, sorting the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended, which is located in front of a preset position in the sorting mode, as a target workflow to be recommended to the user to be recommended, and enabling the user to be recommended to complete corresponding work tasks according to the indication of the target workflow.
The descriptions of S201 and S204 may refer to the descriptions of S101 and S103, and the same technical effects can be achieved, which will not be described in detail.
Further, the workflow model is determined by: acquiring a plurality of historical workflows, wherein each historical workflow comprises a plurality of service nodes; combining the historical workflows according to the same service node to obtain a workflow active network; the workflow model is determined based on the workflow activity network.
In the step, a plurality of historical workflows are acquired, each acquired historical workflow comprises a plurality of service nodes, and every two historical workflows included in the plurality of historical workflows are combined according to the same service nodes included in the historical workflows to obtain a workflow activity network, so that a workflow model is obtained.
Here, the same service node may exist in different historical workflows, and different historical workflows are connected together by combining the same service node, so as to generate a workflow model containing a plurality of historical workflows and capable of meeting different work demands of users.
For example, one historical workflow is "A-B-C-D", the other historical workflow is "D-Z-L-W-X", and both historical workflows include node "D", where the two historical workflows can be merged.
Here, the workflow model dan= (ACT, LNK, WGT), where ACT is a set of service nodes of domain type, LNK is a set of edges connecting service nodes in ACT, describing call relationships between service nodes, and WGT is a set of weights defined on LNK, describing historical call times between services. Referring to fig. 3, fig. 3 is a schematic diagram of a workflow model, and as shown in fig. 3, nodes are service nodes of domain type, edges are call relations between service nodes, and edge weights are historical call times between service nodes. The edges are directed edges, and the directions represent calling relations; the thicker the edge, the greater the weight and the thicker the corresponding inter-service history call count, as shown in FIG. 3, the thicker the edge 330 between service node 310 and service node 320 than the edge 350 between service node 320 and service node 340, representing that the history call count between service node 310 and service node 320 is greater than the history call count between service node 320 and service node 340.
Further, step S202 includes: for each sub-demand workflow, determining a plurality of service nodes included in the sub-demand workflow and calling relations among the service nodes; determining a plurality of workflows which comprise a plurality of service nodes from the workflow model, wherein the calling relation among the service nodes is consistent with the calling relation among the service nodes in the strip requirement workflow; and determining the determined multiple workflows as multiple candidate workflows corresponding to the sub-requirement workflows.
In the step, for each sub-requirement workflow provided by a user to be recommended, a plurality of service nodes included in the sub-requirement workflow and a calling relation among the service nodes are determined, and a plurality of workflows which contain the service nodes and accord with the calling relation among the service nodes in a workflow model are determined as a plurality of candidate workflows corresponding to the sub-requirement workflow.
Here, when each sub-demand workflow is determined, a plurality of service nodes included in the sub-demand workflow are determined, and call relations between the respective service nodes are also required to be obtained, so that a plurality of candidate workflows are determined from the workflow model.
For example, one of the sub-demand workflows includes three service nodes: the node W, the node E and the node R form a sub-demand flow W-E-R through respective calling relations, a plurality of flows including the node W, the node E and the node R are determined as far as possible in a workflow model, and if the determined workflows are respectively workflow 1: "M-R-W-E-R", workflow 2: "R-E-W-P-O" and workflow 3: "M-T-Y-W-Y-B-W-E-R-K-G", at which point the candidate workflow is determined to be "W-E-R" and it exists in workflow 1: "M-R-W-E-R" and workflow 3: "M-T-Y-W-Y-B-W-E-R-K-G"; if the determined workflows are workflow 4: "M-R-W-E" and workflow 5: "X-Z-W", when there is no workflow that completely includes the sub-requirement workflow "W-E-R", in this case, a workflow that matches the sub-requirement workflow more closely from among the determined workflows is required, that is, when the candidate workflow is determined to be "W-E" and it exists in workflow 4: "M-R-W-E".
Further, step S203 includes: for each sub-demand workflow, abstracting each candidate workflow corresponding to the sub-demand workflow into a matching node corresponding to the sub-demand workflow; and connecting the plurality of matching nodes according to the calling relation among the sub-requirement workflows, and determining a plurality of workflows to be recommended.
In the step, for each sub-demand workflow, each candidate workflow corresponding to the sub-demand workflow is regarded as a matching node corresponding to the sub-demand workflow, and after a plurality of matching nodes are determined, the determined plurality of matching nodes are connected according to a calling relationship between the sub-demand workflows provided by users to be recommended, so as to determine a plurality of workflows to be recommended.
Here, when determining the workflow to be recommended, each sub-requirement workflow needs to be connected together according to the calling relationship between each sub-requirement workflow provided by the user to be recommended, and a plurality of candidate workflows corresponding to each sub-requirement workflow are determined according to the workflow model constructed in advance, so that each sub-requirement workflow is connected together according to the calling relationship between each sub-requirement workflow provided by the user to be recommended, namely, the process of connecting each candidate workflow according to the corresponding calling relationship.
Here, in order to more easily calculate the path of each sub-demand workflow connection, each candidate workflow may be abstracted into one matching node, the path length between each matching node is calculated in the form of a node, and the respective matching nodes are connected together.
Here, when the node abstraction is performed on each candidate workflow, the unique identifier of the service node included in each candidate workflow may be spliced and then used as the unique identifier of the matching node, and the matching node is attached with the label of the corresponding sub-requirement workflow.
Here, according to the calling relations among different sub-requirement workflows, a plurality of matching nodes can be connected, and therefore a plurality of workflows to be recommended including a data flow direction are determined.
And when each workflow to be recommended is determined, the connected matching nodes are restored to the corresponding candidate workflows, so that the complete workflow to be recommended is determined.
Here, when each matching node is connected, a modified group-stanner tree (GST) algorithm may be used to connect multiple matching nodes, thereby determining a complete workflow to be recommended.
Further, by describing the technical scheme of the application in combination with a specific application scenario, the application scenario of the application may be defined as an abnormal browsing behavior determination scenario, and under the abnormal browsing behavior scenario, the technical scheme of the application may include the following steps:
(1) And acquiring a plurality of abnormal browsing judgment workflows provided by the user to be recommended and calling relations among the abnormal browsing judgment workflows, wherein each abnormal browsing judgment workflow is used for representing a browsing data processing flow in the abnormal browsing judgment process.
Here, the abnormal browsing determination workflow may include a browsing data acquisition flow, a browsing data normalization processing flow, a determination abnormal browsing behavior flow, and the like.
The browsing data acquisition process is used for acquiring browsing data in a historical time period, and the browsing data normalization processing process is used for carrying out de-duplication and standardization on the acquired browsing data to acquire browsing data to be processed; the abnormal browsing behavior determining process is used for determining abnormal browsing behaviors of the user according to the browsing data to be processed.
The calling relation among the abnormal browsing judging flows characterizes the calling relation before the abnormal browsing judging flows, and the data circulation process and the data processing logic of the whole abnormal browsing judging process are embodied.
(2) Determining a plurality of abnormal browsing judging flows to be recommended from a pre-constructed abnormal processing flow network according to the acquired abnormal browsing judging workflows and the calling relation among the abnormal browsing judging flows;
(3) And sequencing the determined multiple abnormal browsing judgment flows to be recommended according to the confidence level of each abnormal browsing judgment flow to be recommended, and determining at least one abnormal browsing judgment flow to be recommended, which is positioned in front of a preset position in sequence, as a target abnormal browsing judgment flow to be recommended.
(4) And judging the abnormal browsing behavior based on each abnormal browsing judging workflow included in the target to-be-recommended abnormal browsing judging workflow so as to determine the abnormal browsing behavior.
Further, when the abnormal browsing determination workflow includes a browsing data acquisition flow, a browsing data normalization processing flow, and an abnormal browsing data determination abnormal browsing behavior flow, the determining the abnormal browsing behavior based on each abnormal browsing determination workflow included in the target to-be-recommended abnormal browsing determination flow includes:
acquiring a plurality of pieces of browsing data of a user to be detected in a historical time period, wherein the browsing data comprises a plurality of browsing fragments and browsing time of each browsing fragment;
normalizing the browsing time corresponding to each browsing fragment obtained into standard browsing time based on a preset browsing time format;
for each browsing fragment, detecting whether the standard browsing time corresponding to the browsing fragment is smaller than a preset browsing time threshold; if the standard browsing time corresponding to the browsing fragment is smaller than a preset browsing time threshold, determining that the browsing fragment is an abnormal browsing fragment;
And when the number of the abnormal browsing fragments included in the plurality of browsing data of the user to be detected is greater than a preset number threshold, determining that the user to be detected has abnormal browsing behaviors.
According to the workflow recommending method provided by the embodiment of the application, a plurality of sub-requirement workflows provided by users to be recommended and calling relations among the sub-requirement workflows are obtained; determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model; determining a plurality of workflows to be recommended based on a plurality of candidate workflows corresponding to each sub-demand workflow and a calling relationship among the sub-demand workflows; and sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow, and recommending the target workflow to the user to be recommended, so that the user to be recommended completes corresponding work tasks according to the indication of the target workflow.
In this way, according to the acquired multiple sub-requirement workflows provided by the user to be recommended and the call relations among the sub-requirement workflows, multiple workflows to be recommended are determined from a pre-built workflow model, the multiple workflows to be recommended are ordered according to the corresponding path lengths, after the sub-requirement workflows are ordered, at least one workflow to be recommended, which is positioned in front of a preset position, is determined as a target workflow and recommended to the user to be recommended, and therefore at least one target workflow matched with the user requirements is recommended to the user directly according to the multiple sub-requirement workflows provided by the user and the call relations among the sub-requirement workflows, and the recommendation efficiency and the accuracy of the workflows are improved.
Referring to fig. 4 and 5, fig. 4 is a schematic structural diagram of a workflow recommendation device according to an embodiment of the present application, and fig. 5 is a schematic structural diagram of a workflow recommendation device according to an embodiment of the present application. As shown in fig. 4, the recommendation device 400 includes:
a requirement acquisition module 410, configured to acquire a plurality of sub-requirement workflows provided by a user to be recommended and a calling relationship between each sub-requirement workflow;
the flow determining module 420 is configured to determine a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relationship between the sub-requirement workflows;
the process recommending module 430 is configured to sort the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determine at least one workflow to be recommended located before the preset position as a target workflow, and recommend the target workflow to the user to be recommended, so that the user to be recommended completes the corresponding task according to the indication of the target workflow.
Further, as shown in fig. 5, the recommendation device 400 further includes a model determining module 440, where the model determining module 440 is configured to:
Acquiring a plurality of historical workflows, wherein each historical workflow comprises a plurality of service nodes;
combining the historical workflows according to the same service node to obtain a workflow active network;
the workflow model is determined based on the workflow activity network.
Further, when the flow determining module 420 is configured to determine a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relationship between the sub-requirement workflows, the flow determining module 420 is configured to:
determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model;
and determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-demand workflow and the calling relation among the sub-demand workflows.
Further, when the process determining module 420 is configured to determine a plurality of candidate workflows corresponding to each sub-requirement workflow from the pre-constructed workflow model, the process determining module 420 is configured to:
For each sub-demand workflow, determining a plurality of service nodes included in the sub-demand workflow and calling relations among the service nodes;
determining a plurality of workflows which comprise a plurality of service nodes from the workflow model, wherein the calling relation among the service nodes is consistent with the calling relation among the service nodes in the strip requirement workflow;
and determining the determined multiple workflows as multiple candidate workflows corresponding to the sub-requirement workflows.
Further, when the flow determining module 420 is configured to determine a plurality of workflows to be recommended based on a plurality of candidate workflows corresponding to each sub-requirement workflow and a call relationship between the sub-requirement workflows, the flow determining module 420 is configured to:
for each sub-demand workflow, abstracting each candidate workflow corresponding to the sub-demand workflow into a matching node corresponding to the sub-demand workflow;
and connecting the plurality of matching nodes according to the calling relation among the sub-requirement workflows, and determining a plurality of workflows to be recommended.
The recommending device of the workflow provided by the embodiment of the application acquires a plurality of sub-requirement workflows provided by users to be recommended and calling relations among the sub-requirement workflows; determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows; and sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow, and recommending the target workflow to the user to be recommended, so that the user to be recommended completes corresponding work tasks according to the indication of the target workflow.
In this way, according to the acquired multiple sub-requirement workflows provided by the user to be recommended and the call relations among the sub-requirement workflows, multiple workflows to be recommended are determined from a pre-built workflow model, the multiple workflows to be recommended are ordered according to the corresponding path lengths, after the sub-requirement workflows are ordered, at least one workflow to be recommended, which is positioned in front of a preset position, is determined as a target workflow and recommended to the user to be recommended, and therefore at least one target workflow matched with the user requirements is recommended to the user directly according to the multiple sub-requirement workflows provided by the user and the call relations among the sub-requirement workflows, and the recommendation efficiency and the accuracy of the workflows are improved.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 6, the electronic device 600 includes a processor 610, a memory 620, and a bus 630.
The memory 620 stores machine-readable instructions executable by the processor 610, and when the electronic device 600 is running, the processor 610 communicates with the memory 620 through the bus 630, and when the machine-readable instructions are executed by the processor 610, the steps of the recommended method of the workflow in the method embodiments shown in the foregoing fig. 1 and fig. 2 may be executed, and the specific implementation may refer to the method embodiments and will not be repeated herein.
The embodiment of the present application further provides a computer readable storage medium, where a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the recommended method of the workflow in the method embodiments shown in the foregoing fig. 1 and fig. 2 may be executed, and a specific implementation manner may refer to the method embodiment and will not be described herein.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A method of workflow recommendation, the method comprising:
acquiring calling relations among a plurality of sub-requirement workflows provided by users to be recommended;
determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows;
Based on the path length corresponding to each workflow to be recommended, sequencing the determined workflows to be recommended, determining at least one workflow to be recommended, which is sequenced before a preset position, as a target workflow to be recommended to the user to be recommended, so that the user to be recommended completes corresponding work tasks according to the indication of the target workflow;
determining the workflow model by:
acquiring a plurality of historical workflows, wherein each historical workflow comprises a plurality of service nodes;
combining the historical workflows according to the same service node to obtain a workflow active network;
the workflow model is determined based on the workflow activity network.
2. The recommendation method according to claim 1, wherein determining a plurality of workflows to be recommended from a pre-built workflow model according to the plurality of sub-requirement workflows and the call relation between the sub-requirement workflows comprises:
determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model;
And determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-demand workflow and the calling relation among the sub-demand workflows.
3. The recommendation method according to claim 2, wherein a plurality of candidate workflows corresponding to each sub-demand workflow are determined from a pre-built workflow model;
for each sub-demand workflow, determining a plurality of service nodes included in the sub-demand workflow and calling relations among the service nodes;
determining a plurality of workflows which comprise a plurality of service nodes from the workflow model, wherein the calling relation among the service nodes is consistent with the calling relation among the service nodes in the strip requirement workflow;
and determining the determined multiple workflows as multiple candidate workflows corresponding to the sub-requirement workflows.
4. The recommendation method according to claim 2, wherein determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-demand workflow and the call relationship between the sub-demand workflows comprises:
For each sub-demand workflow, abstracting each candidate workflow corresponding to the sub-demand workflow into a matching node corresponding to the sub-demand workflow;
and connecting the plurality of matching nodes according to the calling relation among the sub-requirement workflows, and determining a plurality of workflows to be recommended.
5. A recommendation device for a workflow, the recommendation device comprising:
the requirement acquisition module is used for acquiring a plurality of sub-requirement workflows provided by a user to be recommended and calling relations among the sub-requirement workflows;
the flow determining module is used for determining a plurality of workflows to be recommended from a pre-constructed workflow model according to the plurality of sub-requirement workflows and the calling relation among the sub-requirement workflows;
the flow recommending module is used for sequencing the determined multiple workflows to be recommended based on the path length corresponding to each workflow to be recommended, determining at least one workflow to be recommended which is sequenced to be positioned in front of a preset position as a target workflow to be recommended to the user to be recommended, and enabling the user to be recommended to complete corresponding work tasks according to the indication of the target workflow;
The recommendation device further comprises a model determination module for:
acquiring a plurality of historical workflows, wherein each historical workflow comprises a plurality of service nodes;
combining the historical workflows according to the same service node to obtain a workflow active network;
the workflow model is determined based on the workflow activity network.
6. The recommendation device of claim 5, wherein the flow determination module, when determining a plurality of workflows to be recommended from a pre-built workflow model according to the plurality of sub-requirement workflows and the call relation between the sub-requirement workflows, is configured to:
determining a plurality of candidate workflows corresponding to each sub-demand workflow from a pre-constructed workflow model;
and determining a plurality of workflows to be recommended based on the plurality of candidate workflows corresponding to each sub-demand workflow and the calling relation among the sub-demand workflows.
7. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating via said bus when the electronic device is running, said machine readable instructions when executed by said processor performing the steps of the recommended method of workflow according to any of claims 1 to 4.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the workflow recommendation method according to any of claims 1 to 4.
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| CN116258362B (en) * | 2023-05-08 | 2023-07-28 | 四川数产范式科技有限公司 | Workflow generation method, system, equipment and medium |
| CN116301734B (en) * | 2023-05-17 | 2023-07-28 | 安徽思高智能科技有限公司 | Method and device for recommending flows in RPA flow asset library and electronic equipment |
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