CN109785867B - Double-recording flow configuration method and device, computer equipment and storage medium - Google Patents
Double-recording flow configuration method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to research and development management technology, and provides a double recording flow configuration method and device, computer equipment and a storage medium. The method comprises the following steps: the method comprises the steps of obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set; acquiring a second label set corresponding to each target product, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set; selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product; searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal; and the receiving terminal calls the corresponding target process node from the current process node set according to the target process node identification returned by the node information to obtain the double-recording process of the product to be configured.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for configuring a dual recording process, a computer device, and a storage medium.
Background
In order to respond to the requirement for the sound recording and video recording of the enhanced business in the notice of the enhanced banking office about the internal control management of the financial institution of the banking industry and effectively preventing the counter business risk, the financial institution and the insurance company of the banking industry increase double recording business in sales, insurance products, financial products and the like.
In the prior art, due to the fact that the emphasis points of double recording of different products are different, the flows of double recording are different, when a developer performs double recording flow configuration, different double recording flows are configured for different product configurations independently, double recording flow codes and product coupling degrees are high, a large amount of repeated development is caused, and development efficiency is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a dual recording flow configuration method, apparatus, computer device and storage medium capable of improving development efficiency.
A dual stream flow configuration method, the method comprising:
the method comprises the steps of obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set;
acquiring a second label set corresponding to each target product in the target product set, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set;
selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product;
searching corresponding node information from the current process node set according to the process node identification, and sending the node information to a terminal;
and the receiving terminal calls the corresponding target flow node from the current flow node set according to the target flow node identification returned by the node information to obtain the double-recording flow of the product to be configured.
In one embodiment, the obtaining the product category and the first label set corresponding to the product to be configured includes:
acquiring description information corresponding to the product to be configured;
extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set;
and when the keyword is successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining the first label set according to the first target label.
In one embodiment, the obtaining the product type and the first label set corresponding to the product to be configured further includes:
when the keywords which are not successfully matched exist, generating a new standard label according to the keywords which are not successfully matched, and determining the new standard label as a second target label of the product to be configured;
and updating the first label set according to the second target label.
In one embodiment, the calculating the similarity between the product to be configured and each target product according to the first tag set and the second tag set includes:
calculating the total number of the labels in the first label set;
acquiring the number of each label in the first label set and the number of each label in the second label set;
calculating the number of the same labels in the first label set and the second label set according to the serial numbers;
and calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels.
In one embodiment, before the receiving terminal identifies the target process node according to the node information returned, the method includes:
receiving a node query request sent by a terminal, wherein the node query request carries query keywords;
inquiring node information of each node in the current node set according to the inquiry keywords;
and when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal.
In one embodiment, before the receiving terminal identifies the target process node according to the node information returned, the method further includes:
receiving a node newly-increased request sent by a terminal, wherein the node newly-increased request carries target node information;
generating a new process node according to the target node information, and distributing a process node identifier for the new process node;
and updating the current process node set according to the new process node.
A dual stream configuration apparatus, the apparatus comprising:
the target product set obtaining module is used for obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set;
the similarity calculation module is used for acquiring a second label set corresponding to each target product in the target product set and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set;
the reference product selection module is used for selecting a reference product from the target product set according to the similarity calculation result and acquiring a process node identifier corresponding to the reference product;
the node information sending module is used for searching corresponding node information from the current process node set according to the process node identification and sending the node information to the terminal;
and the target process node calling module is used for receiving a target process node identifier returned by the terminal according to the node information, and calling a corresponding target process node from the current process node set according to the target process node identifier to obtain a double-recording process of the product to be configured.
In one embodiment, the target product set obtaining module is further configured to: acquiring description information corresponding to the product to be configured; extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set; and when the keyword is successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining the first label set according to the first target label.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the dual stream configuration method of any of the above embodiments when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the dual stream configuration method according to any of the embodiments described above.
According to the double-recording flow configuration method, the double-recording flow configuration device, the computer equipment and the storage medium, the target product is selected from the current product set according to the product type by acquiring the product type and the first label set corresponding to the product to be configured, so that the target product set is obtained; acquiring a second label set corresponding to each target product in the target product set, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set; selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product; searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal; and the receiving terminal calls the corresponding target process node according to the target process node identification returned by the node information to obtain the double-recording process of the product to be configured. In the application, when the double-recording flow configuration is carried out, the reference product is determined, so that a developer can directly multiplex the same node by taking the flow node of the reference product as a reference when developing, and repeated development is avoided, thereby improving the development efficiency.
Drawings
FIG. 1 is a diagram illustrating an exemplary implementation of a dual stream flow configuration method;
FIG. 2 is a schematic flow chart diagram illustrating a dual stream configuration method in one embodiment;
FIG. 3 is a flow chart illustrating the steps of the dual stream configuration in another embodiment;
FIG. 4 is a block diagram of an apparatus for dual stream configuration in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The double-recording flow configuration method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. After acquiring the product type of the product to be configured and the corresponding first label set, the server 104 selects a target product set from the current product set according to the product type; the method comprises the steps of obtaining a second label set corresponding to each target product in a target product set, calculating the similarity between a product to be configured and each target product according to the first label set and the second label set, selecting a reference product from the target product set according to the similarity calculation result, obtaining a process node identification corresponding to the reference product, searching corresponding node information from a current process node set according to the process node identification, sending the node information to a terminal 102, and calling the corresponding target process node according to the target process node identification when a server 104 receives the target process node identification returned by the terminal 102 according to the node information, so as to obtain a double recording process of the product to be configured. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a dual-recording flow configuration method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
step S202, obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set.
The product category at least comprises one or more of financing, insurance and loan, and each label in the first label set is used for characterizing the product to be configured, such as age, amount, valid period and the like. The target product refers to a product of which the product type is the same as that of the product to be configured, for example, when the product to be configured is a financial product, each product in the target product set is a financial product. The products in the current product set are the products determined by the double recording process.
Specifically, when a developer needs to perform double-recording process configuration on a certain new product, the product type and description information of the product can be input at the terminal, the product type and description information are sent to the server, a double-recording process configuration request is sent to the server, after the terminal receives the double-recording process configuration request, the product is determined as a product to be configured, and a label corresponding to the product to be configured is determined according to the description information, so that a first label set corresponding to the product to be configured is obtained. The description information refers to text information which can describe the characteristics of the product to be configured.
Further, the server selects all products with the same product type as that of the product to be configured from the current product set as target products, so that a target product set is obtained.
Step S204, a second label set corresponding to each target product in the target product set is obtained, and the similarity between the product to be configured and each target product is calculated according to the first label set and the second label set.
The label corresponding to each target product in the target product set is configured in advance, and the label of each target product can be queried according to a product code (such as 123456) or a product name. The similarity is used for representing the similarity of the two products, and the greater the similarity is, the greater the credibility of the target product as a reference product is.
Specifically, after the server obtains the second label sets corresponding to the target products in the target product set, the similarity between the product to be configured and the target product can be calculated by calculating the number of matched labels in the first label set corresponding to the product to be configured and the second label set corresponding to the target product.
And S206, selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product.
The process node identifier is used for uniquely identifying a process node in a double-recording process, the whole double-recording process is composed of a plurality of process nodes, each process node corresponds to a different link in the double-recording process, and for example, a certain bank financing product may include the following three process nodes: 1. the information of the specific products purchased by the customers is described; 2. solicit customer consent; 3. specific disclaimer of disclaimer.
Specifically, when the server selects the reference target product, all the products with the similarity greater than the preset threshold value can be used as the reference products, or the target products can be sorted according to the similarity, and then the target products with the preset number in the top sorting are selected as the reference products. Further, since the reference product is a product for which the double recording process is already determined, after the server obtains the reference product, the server can further search the double recording process of the reference product and obtain the node identifier of each process node in the double recording process of the reference product.
And S208, searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal.
The current flow node set refers to a set formed by flow nodes of products in the current product set, the flow nodes can be used as public nodes, and the nodes can be directly called when new product flow configuration is carried out. The node information includes a node name, dialect information, a bibliographic rule of the process node, and the like, wherein the dialect information refers to a reference dialect of the product salesperson in the bibliographic process, and includes a dialect template and a dialect variable, for example: "i am an agency name of the agency to which the agency belongs". This is my certificate/identity card, you check. "wherein [ agency name ] to which the agent belongs and [ agency name ] belong to the jargon variable. The double recording rule comprises forbidden words, keywords, video frame extraction frequency and the like. The forbidden word refers to a word that the product seller forbids to mention when double-recording, and the keyword refers to a word that the product seller must mention during double-recording.
Specifically, the node information and the process node identifier have a one-to-one correspondence relationship in advance, and the server can search for the corresponding node information according to the process node identifier and send the searched node information to the terminal.
And step S210, the receiving terminal calls a corresponding target process node from the current process node set according to the target process node identifier returned by the node information to obtain a double-recording process of the product to be configured.
Specifically, after receiving the node information, the terminal may display the node information, and the developer may select a process node adapted to a current product to be configured from nodes corresponding to the reference product according to the displayed node information, and when detecting a confirmation operation of the developer on a certain process node, the terminal determines the process node corresponding to the confirmation operation as a target node corresponding to the product to be configured. In one embodiment, if other flow nodes not shown need to be configured, a developer can search according to the query keyword, and newly add to the flow nodes that cannot be searched.
Further, after the terminal determines the target process node, the terminal can return a target process node identifier corresponding to the target process node to the server, and the server calls the corresponding target process node from the current process node set according to the target process node identifier to obtain the double-recording process of the product to be configured.
In one embodiment, after the terminal determines the target process nodes, the terminal may also determine the sequence of each target process node after detecting the sequencing operation of the developer, and return the target process node identifiers and the sequencing results to the server, and the server sequentially calls the corresponding target process nodes according to the target process node identifiers and the sequencing results to obtain the double-recording process of the product to be configured.
In the double-recording flow configuration method, the server selects a target product from the current product set according to the product type by acquiring the product type and the first label set corresponding to the product to be configured, so as to obtain a target product set; acquiring a second label set corresponding to each target product in the target product set, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set; selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product; searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal; and the receiving terminal calls the corresponding target process node according to the target process node identification returned by the node information to obtain the double-recording process of the product to be configured. In the application, when the double-recording flow configuration is carried out, the reference product is determined, so that a developer can directly multiplex the same node by taking the flow node of the reference product as a reference when developing, and repeated development is avoided, thereby improving the development efficiency.
In one embodiment, the obtaining of the product type and the first label set corresponding to the product to be configured includes: acquiring description information corresponding to a product to be configured; extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set; and when the key words are successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining a first label set according to the first target label.
Specifically, the server firstly obtains description information of a product to be configured from the terminal, then extracts keywords from the description information, matches the extracted keywords with each standard label in a standard label set established in advance one by one, determines the standard label as a target label of the product to be configured when any keyword matches one standard label in the standard label set, and then obtains a first label set according to the target labels. The standard tag set is a word set obtained by sorting keywords corresponding to each product in the current product set, in the sorting process, two keywords with specific same meanings can be represented by unified words, and spoken words can be represented by formal written words, for example, the keywords corresponding to the product a include: this information guarantee, the keyword that product B corresponds includes: the book keeping and the message keeping can be unified into the book keeping and the message keeping.
In one embodiment, the textrank algorithm may be employed for extracting keywords for the description information.
In one embodiment, when there is a keyword that does not match a standard tag, a new tag may be generated according to the keyword and added to the standard tag set to update the standard tag set, and meanwhile, the new tag corresponding to the keyword is also determined as a target tag of a product to be configured, and the target tags are added to the first tag set to update the first tag set. It is understood that, in the implementation process, if the keyword meets the requirement of the standard tag, the keyword can be directly used as a new tag.
In the above embodiment, the keyword extracted from the description information is matched with the tag in the standard tag set to obtain the target tag to form the first tag set, so that the uniformity and accuracy of the tag corresponding to the product to be configured can be ensured.
In one embodiment, calculating the similarity between the product to be configured and each target product according to the first label set and the second label set includes: calculating the total number of the labels in the first label set; acquiring the number of each label in the first label set and the number of each label in the second label set; calculating the number of the same labels in the first label set and the second label set according to the serial numbers; and calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels.
Specifically, the server first calculates the total number of tags in a first tag set corresponding to a product to be configured, and then calculates the number of the same tags between the product to be configured and each target product, respectively. Further, after the server calculates the total number of the labels corresponding to the product to be configured and the number of the same labels between the product to be configured and each target product, the similarity between the product to be configured and each target product can be obtained according to the ratio of the number of the same labels to the total number of the labels. For example, the numbers of 5 labels corresponding to the product a to be configured are 2,4,6,8, and 10, respectively, the numbers of 6 labels corresponding to the target product B are 2,4,5,11,14, and 16, respectively, and then the similarity between a and B is 2/5.
In the above embodiment, the total number of the tags in the first tag set is calculated, then the number of the same tags between the product to be configured and the target product is calculated according to the same number, and finally the similarity is obtained according to the standard total number and the number of the same tags, so that the calculation efficiency of the similarity can be improved, and the development efficiency is further improved.
In one embodiment, before receiving the target process node identifier returned by the terminal according to the node information, the method includes: receiving a node query request sent by a terminal, wherein the node query request carries query keywords; inquiring node information of each node in the current node set according to the inquiry keywords; and when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal.
Specifically, a developer performs flow configuration at a terminal, and when a flow node other than a flow node corresponding to a target product needs to be added, the developer can first search whether the node already exists in a current node set, specifically, the terminal can send a query request to a server, and the query request carries a query keyword, and the server, after receiving the node query request of the terminal, performs query matching from node information of each flow node in the current node set according to the query keyword, and returns node information including the query keyword to the terminal.
In one embodiment, before receiving the target process node identifier returned by the terminal according to the node information, the method further includes: receiving a node newly-adding request sent by a terminal, wherein the node newly-adding request carries target node information; generating a new process node according to the target node information, and distributing a node identifier for the new process node; and updating the current process node set according to the new process node.
Specifically, when the required process nodes cannot be queried, new nodes can be configured in a user-defined mode, including configuration of the dialectical information of the process nodes, the double-recording rule and the like, a node addition request is sent to the server, after the server receives the node addition request sent by the terminal, the new process nodes are generated according to the request, process node identifiers are distributed to the process nodes corresponding to the node addition request, and the process nodes corresponding to the node addition request are added into the current node set.
In one embodiment, as shown in fig. 3, a dual recording flow configuration method is provided, which includes the following steps:
step S302, obtaining the product type and description information corresponding to the product to be configured;
step S304, extracting keywords from the description information, and matching the extracted keywords with each standard label in a pre-established standard label set;
step S306, when the keyword is successfully matched with any standard label, determining the standard label as a first target label of a product to be configured, and obtaining a first label set according to the first target label;
step S308, when the keywords which are not successfully matched exist, generating a new standard label according to the keywords which are not successfully matched, determining the new standard label as a second target label of the product to be configured, and updating the first label set according to the second target label;
step S310, acquiring a second label set corresponding to each target product in the target product set;
step S312, calculating the total number of the labels in the first label set;
step S314, acquiring the number of each label in the first label set and the number of each label in the second label set, and calculating the number of the same label in the first label set and the second label set according to the numbers;
step S316, calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels;
step S318, selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product;
step S320, searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal;
step S322, receiving a node query request sent by a terminal, wherein the node query request carries query keywords, and querying from node information of each node in a current node set according to the query keywords;
step S324, when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal;
step S326, receiving a node adding request sent by a terminal, wherein the node adding request carries target node information;
step S328, generating a new process node according to the target node information, and distributing a node identifier for the new process node;
step S330, updating the current process node set according to the new process node;
step S332, the receiving terminal calls the corresponding target process node from the current process node set according to the target process node identifier returned by the node information, so as to obtain the double-recording process of the product to be configured.
It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a dual stream configuration apparatus 400, including:
a target product set obtaining module 402, configured to obtain a product type and a first label set corresponding to a product to be configured, and select a target product from a current product set according to the product type to obtain a target product set;
a similarity calculation module 404, configured to obtain a second label set corresponding to each target product in the target product set, and calculate a similarity between a product to be configured and each target product according to the first label set and the second label set;
a reference product selecting module 406, configured to select a reference product from the target product set according to the similarity calculation result, and obtain a process node identifier corresponding to the reference product;
a node information sending module 408, configured to search for corresponding node information from the current flow node set according to the flow node identifier, and send the node information to the terminal;
and the target flow node calling module 410 is configured to receive a target flow node identifier returned by the terminal according to the node information, and call a corresponding target flow node from the current flow node set according to the target flow node identifier to obtain a double-recording flow of the product to be configured.
In one embodiment, the target product set obtaining module 402 is further configured to: acquiring description information corresponding to a product to be configured; extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set; and when the key words are successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining a first label set according to the first target label.
In one embodiment, the target product set obtaining module 402 is further configured to, when there is an unmatched successful keyword, generate a new standard tag according to the unmatched successful keyword, and determine the new standard tag as a second target tag of the product to be configured; and updating the first label set according to the second target label.
In one embodiment, the similarity calculation module 404 is further configured to: calculating the total number of the labels in the first label set; acquiring the number of each label in the first label set and the number of each label in the second label set; calculating the number of the same labels in the first label set and the second label set according to the serial numbers; and calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels.
In one embodiment, the apparatus further includes a process node query module, where the process node query module is configured to: receiving a node query request sent by a terminal, wherein the node query request carries query keywords; inquiring node information of each node in the current node set according to the inquiry keywords; and when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal.
In one embodiment, the apparatus further includes a process node adding module, where the process node adding module is configured to: receiving a node newly-adding request sent by a terminal, wherein the node newly-adding request carries target node information; generating a new process node according to the target node information, and distributing a process node identifier for the new process node; and updating the current process node set according to the new process node.
For specific limitations of the dual stream process configuration apparatus, refer to the above limitations on the dual stream process configuration method, which are not described herein again. All or part of the modules in the double-recording flow configuration device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing relevant data of the double-recording flow configuration. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a dual stream configuration method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: the method comprises the steps of obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set; acquiring a second label set corresponding to each target product in the target product set, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set; selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product; searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal; and the receiving terminal calls the corresponding target process node from the current process node set according to the target process node identification returned by the node information to obtain the double-recording process of the product to be configured.
In one embodiment, the obtaining of the product type and the first label set corresponding to the product to be configured includes: acquiring description information corresponding to a product to be configured; extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set; and when the key words are successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining a first label set according to the first target label.
In one embodiment, the obtaining a product type and a first label set corresponding to a product to be configured further includes: when the keywords which are not successfully matched exist, generating a new standard label according to the keywords which are not successfully matched, and determining the new standard label as a second target label of the product to be configured; and updating the first label set according to the second target label.
In one embodiment, calculating the similarity between the product to be configured and each target product according to the first label set and the second label set includes: calculating the total number of the labels in the first label set; acquiring the number of each label in the first label set and the number of each label in the second label set; calculating the number of the same labels in the first label set and the second label set according to the serial numbers; and calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels.
In one embodiment, before receiving the target process node identifier returned by the terminal according to the node information, the processor executes the computer program to further implement the following steps: receiving a node query request sent by a terminal, wherein the node query request carries query keywords; inquiring node information of each node in the current node set according to the inquiry keywords; and when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal.
In one embodiment, before receiving the target process node identifier returned by the terminal according to the node information, the processor executes the computer program to further implement the following steps: receiving a node newly-adding request sent by a terminal, wherein the node newly-adding request carries target node information; generating a new process node according to the target node information, and distributing a process node identifier for the new process node; and updating the current process node set according to the new process node.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: the method comprises the steps of obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set; acquiring a second label set corresponding to each target product in the target product set, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set; selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product; searching corresponding node information from the current process node set according to the process node identification, and sending the node information to the terminal; and the receiving terminal calls the corresponding target process node from the current process node set according to the target process node identification returned by the node information to obtain the double-recording process of the product to be configured.
In one embodiment, the obtaining of the product type and the first label set corresponding to the product to be configured includes: acquiring description information corresponding to a product to be configured; extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set; and when the key words are successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining a first label set according to the first target label.
In one embodiment, the obtaining a product type and a first label set corresponding to a product to be configured further includes: when the keywords which are not successfully matched exist, generating a new standard label according to the keywords which are not successfully matched, and determining the new standard label as a second target label of the product to be configured; and updating the first label set according to the second target label.
In one embodiment, calculating the similarity between the product to be configured and each target product according to the first label set and the second label set includes: calculating the total number of the labels in the first label set; acquiring the number of each label in the first label set and the number of each label in the second label set; calculating the number of the same labels in the first label set and the second label set according to the serial numbers; and calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels.
In one embodiment, before receiving the target process node identifier returned by the terminal according to the node information, the computer program when executed by the processor further implements the following steps: receiving a node query request sent by a terminal, wherein the node query request carries query keywords; inquiring node information of each node in the current node set according to the inquiry keywords; and when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal.
In one embodiment, before receiving the target process node identifier returned by the terminal according to the node information, the computer program when executed by the processor further implements the following steps: receiving a node newly-adding request sent by a terminal, wherein the node newly-adding request carries target node information; generating a new process node according to the target node information, and distributing a process node identifier for the new process node; and updating the current process node set according to the new process node.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A dual stream flow configuration method, the method comprising:
the method comprises the steps of obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set;
acquiring a second label set corresponding to each target product in the target product set, and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set;
selecting a reference product from the target product set according to the similarity calculation result, and acquiring a process node identifier corresponding to the reference product;
searching corresponding node information from the current process node set according to the process node identification, and sending the node information to a terminal;
and the receiving terminal calls the corresponding target flow node from the current flow node set according to the target flow node identification returned by the node information to obtain the double-recording flow of the product to be configured.
2. The method of claim 1, wherein the obtaining of the product type and the first label set corresponding to the product to be configured comprises:
acquiring description information corresponding to the product to be configured;
extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set;
and when the keyword is successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining the first label set according to the first target label.
3. The method of claim 2, wherein the obtaining of the product type and the first label set corresponding to the product to be configured further comprises:
when the keywords which are not successfully matched exist, generating a new standard label according to the keywords which are not successfully matched, and determining the new standard label as a second target label of the product to be configured;
and updating the first label set according to the second target label.
4. The method of claim 1, wherein the calculating the similarity between the product to be configured and each of the target products according to the first tag set and the second tag set comprises:
calculating the total number of the labels in the first label set;
acquiring the number of each label in the first label set and the number of each label in the second label set;
calculating the number of the same labels in the first label set and the second label set according to the serial numbers;
and calculating the similarity between the product to be configured and each target product according to the total number of the labels and the number of the same labels.
5. The method according to any one of claims 1 to 4, wherein before the receiving terminal identifies the target process node returned according to the node information, the method comprises:
receiving a node query request sent by a terminal, wherein the node query request carries query keywords;
inquiring node information of each node in the current node set according to the inquiry keywords;
and when the node information containing the query keyword is queried, returning the node information containing the query keyword to the terminal.
6. The method according to claim 1, further comprising, before the receiving terminal identifies the target process node according to the node information returned, the steps of:
receiving a node newly-increased request sent by a terminal, wherein the node newly-increased request carries target node information;
generating a new process node according to the target node information, and distributing a process node identifier for the new process node;
and updating the current process node set according to the new process node.
7. A dual stream configuration apparatus, the apparatus comprising:
the target product set obtaining module is used for obtaining a product type and a first label set corresponding to a product to be configured, and selecting a target product from a current product set according to the product type to obtain a target product set;
the similarity calculation module is used for acquiring a second label set corresponding to each target product in the target product set and calculating the similarity between the product to be configured and each target product according to the first label set and the second label set;
the reference product selection module is used for selecting a reference product from the target product set according to the similarity calculation result and acquiring a process node identifier corresponding to the reference product;
the node information sending module is used for searching corresponding node information from the current process node set according to the process node identification and sending the node information to the terminal;
and the target process node calling module is used for receiving a target process node identifier returned by the terminal according to the node information, and calling a corresponding target process node from the current process node set according to the target process node identifier to obtain a double-recording process of the product to be configured.
8. The apparatus of claim 7, wherein the target product set obtaining module is further configured to: acquiring description information corresponding to the product to be configured; extracting keywords from the description information, and matching the extracted keywords with each standard tag in a pre-established standard tag set; and when the keyword is successfully matched with any one standard label, determining the standard label as a first target label of the product to be configured, and obtaining the first label set according to the first target label.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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