CN110599039B - Product management method and device, electronic equipment and storage medium - Google Patents
Product management method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN110599039B CN110599039B CN201910870950.2A CN201910870950A CN110599039B CN 110599039 B CN110599039 B CN 110599039B CN 201910870950 A CN201910870950 A CN 201910870950A CN 110599039 B CN110599039 B CN 110599039B
- Authority
- CN
- China
- Prior art keywords
- node
- product
- nodes
- template
- sequence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to the technical field of operation and maintenance of base frames, and provides a product management method, which comprises the following steps: constructing an archive management library for storing templates; constructing an element list for recording elements constituting the template; a flow library is constructed and used for storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates; and receiving a product template generation request input by the client, calling a corresponding flow of a product from a flow library, calling templates corresponding to all nodes in the flow from the archive management library, and generating a product template corresponding to the product template generation request through selection of corresponding elements of all templates in the element list by the client. The invention also provides a product management device, electronic equipment and a storage medium. The invention realizes the configurable elements in the product management process.
Description
Technical Field
The present invention relates to the field of operation and maintenance of a base frame, and more particularly, to a product management method and apparatus, an electronic device, and a storage medium.
Background
At present, tools for managing different types of product flows are lacking in the market, the management tools are single, only one type of product can be managed effectively, and another complete set of management tools is required to be developed again for managing other types of products, namely, each element in the product management process of one type is not configurable relative to the products of the other types.
Disclosure of Invention
In view of the foregoing, it is an object of the present invention to provide a method and apparatus for managing products, an electronic device, and a storage medium in which various elements in a management process are configurable.
In order to achieve the above object, the present invention provides a product management method, comprising:
constructing an archive management library for storing templates;
constructing an element list for recording elements constituting the template;
a flow library is constructed and used for storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates;
and receiving a product template generation request input by the client, calling a corresponding flow of a product from a flow library, calling templates corresponding to all nodes in the flow from the archive management library, and generating a product template corresponding to the product template generation request through selection of corresponding elements of all templates in the element list by the client.
In one embodiment, the elements of the template have multiple dimensions including the type of element, whether editable, and length.
In one embodiment, after the generating the product template corresponding to the product template generating request, the method further includes:
and receiving the data of each element input by the client, and generating a product according to the product template and the data.
In one embodiment, the step of receiving a request for generating a product template input by a client, calling a corresponding process of the product from a process library, and calling templates corresponding to nodes in the process from an archive management library includes:
receiving a recruitment product template generation request input by a client;
invoking a corresponding process of the recruitment product from a process library, wherein the process at least comprises five nodes of resume screening, initial trial, review, fixed pay and job entering, the five nodes are in serial relation, each node has two passing and non-passing sides, the passing side corresponds to the next node, and the non-passing side corresponds to the ending node;
templates corresponding to each node in the flow are called from the archive management library,
the template corresponding to the resume screening node is a resume template, the template corresponding to the initial test node is an initial test question, the template corresponding to the rechecking node comprises a brief introduction of a test person, a comment of a first test result and/or recruiter and a scoring or comment of a rechecking person, the template corresponding to the firewood setting node at least comprises a firewood setting template, the firewood setting template comprises a wage information module or/and a comment module, and the template corresponding to the job entering node comprises a job entering information table.
In one embodiment, the step of receiving a request for generating a product template input by a client, calling a corresponding process of the product from a process library, and calling templates corresponding to nodes in the process from an archive management library includes:
receiving a data prediction product template generation request input by a client;
calling a corresponding flow of a data prediction product from a flow library, wherein the flow at least comprises a data acquisition node, a data analysis node and a trend prediction node;
templates corresponding to each node in the flow are called from the archive management library,
the templates corresponding to the data acquisition nodes comprise data acquisition paths and storage paths, the templates corresponding to the data analysis nodes comprise profit calculation models, the profit calculation models are used for analyzing acquired data from multiple dimensions, the multiple dimensions at least comprise profit types, profit rates and profit values, the templates corresponding to the trend prediction nodes comprise data analysis charts and prediction models, and the prediction models are used for predicting trends of the data.
In one embodiment, the step of generating a product template comprises: generating templates conforming to the preferences of the user end according to the preferences of the client end on different elements, wherein:
determining the similarity between different elements through word vector similarity;
clustering the browsing times or/and the selecting times of different clients to different elements as a preference matrix to obtain clusters of the clients;
browsing or/and selecting elements of all the clients in a group as element sets of the group, wherein the browsing times or/and selecting times of the clients to each element form a behavior sequence of the clients, and the behavior sequence is a time behavior sequence of the clients to each element;
dividing the behavior sequence into a plurality of first sub-sequences with at least one sequence length, the sequence length of the first sub-sequences being shorter than the sequence length of the behavior sequence;
constructing a tree of behavior sequences according to the first subsequence;
combining the root node representative elements of each branch in the subtree of the tree with the elements represented by the sub-nodes except the bottom sub-node to form a plurality of second sub-sequences with different sequence lengths according to the layer sequence;
obtaining the predictive probability that the next element of each second sub-sequence is any element of the behavior sequence by
Wherein p (x|y) 1 y 2 …y i ) And p (i+1, x) represents a prediction probability that an element of the second subsequence order i+1 of sequence length i is x, p (i, x) represents an element of the second subsequence order i is an x prediction probability, p (1, x) represents an element of the second subsequence order 1 is an x prediction probability, y 1 A root node, y, representing a subtree of the tree of the behavior sequence 2 ,…,y i Representing the root node y of the subtree 1 Sub-nodes from the second layer to the ith layer of a branch of (a), y 1 y 2 …y i Representing a second subsequence of sequence length i corresponding to the branch, 1.ltoreq.i.ltoreq.n-1, N representing the highest number of layers of the branch, x representing the element to be predicted, N (y) 1 =x) represents the node value of x for the root node in the first layer of the subtree of the tree of the behavior sequence Σn (y) 1 ) The sum of the node values of the root nodes of the subtrees of the first layer of the tree representing the behavior sequence, N (y i+1 =x) represents the branch i-layer node y i The child node of the (i+1) th layer is the node value of x, N (y) i ) Node y representing the ith layer of the branch i Is used to determine the node value of (c),
representing the i-layer node y of the branch where the second subsequence is located i Adding node values of all child nodes of the (i+1) th layer;
sequencing the elements of each second subsequence and the next sequence according to the sequence from the big to the small of the prediction probability to form a third subsequence sequence;
an element list is generated that includes elements in the third sub-sequence that have the greatest predicted probability.
In one embodiment, the method further comprises the step of carrying out plug-in processing on each step of the product management method, and the product management method is deployed in a virtual machine or cloud environment.
In addition, in order to achieve the above object, the present invention also provides an electronic device including a memory and a processor, wherein a product management program is stored in the memory, and the product management program realizes the above product management method when executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium including a product management program therein, which when executed by a processor, implements the above product management method.
In addition, in order to achieve the above object, the present invention also provides a product management system, including:
the first construction module is used for constructing an archive management library and storing templates;
the second construction module is used for constructing an element list and recording elements forming the template;
the third construction module is used for constructing a flow library and storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates;
the receiving module is used for receiving a product template generation request input by the client;
the calling module is used for calling the corresponding flow of the product from the flow library and calling templates corresponding to all nodes in the flow from the archive management library;
and the generating module is used for generating a product template corresponding to the product template generating request through the selection of the corresponding elements of each template in the element list by the client.
According to the product management method and device, the electronic equipment and the computer readable storage medium, the templates, the processes and the elements of the corresponding products can be configured according to the actual application scene of the products, so that various elements in the management process can be configured, and a management tool with high practicability is formed. Can effectively manage products of different types of different systems.
Drawings
FIG. 1 is a schematic view of an application environment of a preferred embodiment of a product management method of the present invention;
FIG. 2 is a schematic diagram of a block diagram of the product management apparatus of the present invention;
FIG. 3 is a flow chart of a preferred embodiment of the product management method of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The invention provides a product management method which is applied to electronic equipment 1. Referring to fig. 1, a schematic view of an application environment of a preferred embodiment of a product management method according to the present invention is shown.
In this embodiment, the electronic device 1 may be a terminal client having an operation function, such as a server, a mobile phone, a tablet computer, a portable computer, or a desktop computer.
The memory 11 includes at least one type of readable storage medium. The at least one type of readable storage medium may be a non-volatile storage medium such as flash memory, a hard disk, a multimedia card, a card memory, etc. In some embodiments, the readable storage medium may be an internal storage unit of the electronic device 1, such as a hard disk of the electronic device 1. In other embodiments, the readable storage medium may also be an external memory of the electronic device 1, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1.
In the present embodiment, the readable storage medium of the memory 11 is generally used to store a product management program 10 or the like installed in the electronic device 1. The memory 11 may also be used for temporarily storing data that has been output or is to be output.
The processor 12 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 11, such as executing the product management program 10, etc.
The network interface 13 may optionally comprise a standard wired interface, a wireless interface (e.g. WI-FI interface), typically used to establish a communication connection between the electronic device 1 and other electronic clients.
The communication bus 14 is used to enable connected communication between these components.
Fig. 1 shows only an electronic device 1 with components 11-14, but it is understood that not all shown components are required to be implemented, and that more or fewer components may be implemented instead.
Optionally, the electronic device 1 may further comprise a user interface, which may comprise an input unit such as a Keyboard (Keyboard), a voice input device such as a microphone or the like having voice recognition functionality, a voice output device such as a sound box, a headset or the like, and optionally a standard wired interface, a wireless interface.
Alternatively, the electronic device 1 may also comprise a display, which may also be referred to as a display screen or display unit.
In some embodiments, the display may be an LED display, a liquid crystal display, a touch-control liquid crystal display, an Organic Light-Emitting Diode (OLED) touch device, or the like. The display is used for displaying information processed in the electronic device 1 and for displaying a visualized user interface.
Optionally, the electronic device 1 further comprises a touch sensor. The area provided by the touch sensor for the user to perform a touch operation is referred to as a touch area. Further, the touch sensors described herein may be resistive touch sensors, capacitive touch sensors, and the like. The touch sensor may include not only a contact type touch sensor but also a proximity type touch sensor. Furthermore, the touch sensor may be a single sensor or may be a plurality of sensors arranged in an array, for example.
Optionally, the electronic device 1 may further include logic gates, sensors, audio circuits, etc., which are not described herein.
In the embodiment of the apparatus shown in fig. 1, an operating system and a product management program 10 may be included in a memory 11 as a kind of computer storage medium; the processor 12, when executing the product management program 10 stored in the memory 11, performs the following steps:
step S1, constructing an archive management library for storing templates, wherein the products comprise financial products, purchase management products, personnel management products and the like;
s2, constructing an element list for recording elements forming a template;
step S3, a flow library is constructed and used for storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes (parallel relations, serial relations, father-son relations and the like) and roles corresponding to the nodes, and different nodes are associated with different templates;
and S4, receiving a product template generation request input by the client, calling a corresponding process of a product from a process library, calling templates corresponding to all nodes in the process from the archive management library, and generating a product template required by the client through selection of corresponding elements of all templates in the element list by the client.
In other embodiments, the product management program 10 may be further partitioned into one or more modules, one or more modules being stored in the memory 11 and executed by the processor 12 to complete the present invention. The invention may refer to a series of computer program instruction segments capable of performing a specified function.
Fig. 2 is a schematic diagram of a block diagram of a product management apparatus according to the present invention, as shown in fig. 2, the product management apparatus comprising:
a first construction module 110, configured to construct an element list, and record elements that constitute a template;
a second construction module 120, configured to construct an element list, and record elements that form a template;
a third construction module 130, configured to construct a flow library, and store a corresponding flow of the product, where the flow includes nodes, relationships among the nodes, and roles corresponding to the nodes, and different nodes are associated with different templates;
a receiving module 140, configured to receive a product template generation request input by a client;
the calling module 150 is configured to call a corresponding process of the product from the process library, and call templates corresponding to each node in the process from the archive management library;
and the generating module 160 is configured to generate a product template corresponding to the product template generation request through selection of the corresponding elements of each template in the element list by the client.
Preferably, the receiving module 140 receives data of each element input by the client, and the generating module 160 generates a product according to the product template and the data.
In one embodiment, a product template generation request input by a client is a data prediction product template, a corresponding process configured from a process library comprises a data acquisition node, a data analysis node and a trend prediction node, the template corresponding to the data acquisition node comprises a data acquisition path and a storage path, the template corresponding to the data analysis node comprises one or more profit calculation models, the acquired data is analyzed from multiple dimensions, the multiple dimensions at least comprise profit types, profit rates and profit values, the template corresponding to the trend prediction node comprises charts and prediction models of various dimensions after the data analysis node, and the prediction model is used for predicting the trend of the data.
In addition, the invention also provides a product management method. Referring to FIG. 3, a flow chart of a preferred embodiment of the product management method of the present invention is shown. The method may be performed by an apparatus, which may be implemented in software and/or hardware.
In this embodiment, the product management method includes:
step S1, constructing an archive management library for storing templates;
s2, constructing an element list for recording elements forming a template;
step S3, a flow library is constructed and used for storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates;
and S4, receiving a product template generation request input by the client, calling a corresponding process of a product from a process library, calling templates corresponding to all nodes in the process from the archive management library, and generating a product template corresponding to the product template generation request through selection of corresponding elements of all templates in the element list by the client.
Preferably, after step S4, the method further includes receiving data of each element input by the client, and generating a product according to the product template and the data, that is, the data of each element input by the client is transmitted to the product template, completing the stage product template corresponding to each node of the flow, completing data collection of each element of the product template from the father node to the final child node, and generating the final product template.
Preferably, in step S2, the elements of the template have multiple dimensions, where the multiple dimensions include types of elements, whether the elements can be edited, lengths, and the like, and the lengths include field attributes of the template set when the product template is configured, where the attributes include lengths, and specific attribute values may be selected according to the field types, for example, when the field types are selected, the lengths are set to 200 characters, and thus, the automatically generated product page input box can input 200 characters.
In addition, preferably, the contents of the product templates, the product elements and the flow are displayed in pages, the displayed contents in the pages are configurable according to the selection of the client, and the configurable dimensions of the pages comprise a list, an element group, a parent-child page and the like of the pages.
In a specific embodiment, step S4 includes:
receiving a product template generation request of talent recruitment product templates input by a client;
invoking a corresponding process of the recruitment product from a process library, wherein the process at least comprises five nodes of resume screening, initial trial, review, fixed pay and job entering, the five nodes are in serial relation, each node has two passing and non-passing sides, the passing side corresponds to the next node, and the non-passing side corresponds to the ending node;
templates corresponding to each node in the flow are called from the archive management library,
the template corresponding to the resume screening node is a resume template, the template corresponding to the initial test node is an initial test question, the template corresponding to the rechecking node comprises a brief introduction of a test person, a comment of a first test result and/or recruiter and a scoring or comment of a rechecking person, the template corresponding to the firewood setting node at least comprises a firewood setting template, the firewood setting template comprises a wage information module or/and a comment module, and the template corresponding to the job entering node comprises a job entering information table.
For example, the edges passed by the resume screening nodes are connected with the initial nodes, and the edges not passed by the resume screening nodes are connected with the end nodes; the template of the product corresponding to the resume screening node is a resume template, and the corresponding role is a test taker; the template of the product corresponding to the initial test node is an initial test question, and the corresponding role is recruiter; the templates of the products corresponding to the rechecking nodes comprise brief introduction of the test taker, initial results and/or comments of recruiters, scoring or comments of the rechecking staff, and the corresponding roles are recruitment manager and/or recruitment department manager; the product template corresponding to the fixed salary node comprises a fixed salary template besides the template of the rechecking node, the fixed salary template comprises a wage information module or/and a comment module, and the corresponding role is a boss or/and department manager of the company; the templates corresponding to the job entering nodes comprise job entering information tables and the like, and the corresponding roles are job entering personnel.
In another embodiment, the archive management library is used for managing archives such as contracts for purchase, the element list is used for managing actual states of purchased articles, and the process library is used for managing purchasing processes.
At present, in a fund company, a plurality of funds, resource management products and banks can be related to contracts, a large number of contract management types work exists in the life cycle of the products, the variety is various, the situation is complex, and a tool capable of automatically generating related product contracts according to related template configuration is urgently needed, so that the tedious and heavy repetitive work is greatly relieved. The invention can generate corresponding various contracts according to the user-defined template, and concretely comprises:
the contract template is customized by the user, the user can customize the elements of the contract template (support a plurality of formats) and can support the rights of the elements (can assign related roles to maintain the elements), and the user can directly copy the elements from the existing template;
the method comprises the steps of intelligently generating a contract according to elements of a product and a desensitized labeled contract template by one key, initializing product information before generating the contract, associating the contract template with the product information when generating the contract to obtain the elements of the product, obtaining related elements of the contract template, and inputting values of the related elements to generate contract information;
when generating the contract, the system automatically generates the contract for the product by selecting the relevant product and the corresponding contract template.
Preferably, a plurality of tools in the form of function buttons for contract lifecycle can also be provided, including contract comparison, preview, related data display, downloading, etc., which is convenient and easy to use and flexible to configure.
The product management method provides a series of contract generation solutions for automatically generating specific contracts according to configuration and providing a plurality of practical tools, so that the efficiency is greatly improved, the product management method is simple and easy to use, meanwhile, the access is simple, and the deployment is convenient.
Preferably, the archive management base may be configured as a separate module, providing a micro-service interface, and the third party wants to access, as long as the relevant interface is invoked.
In a third embodiment, step S4 includes:
receiving a data prediction product template generation request input by a client;
configuring a corresponding process from a process library, wherein the process comprises a data acquisition node, a data analysis node and a trend prediction node, and a template corresponding to the data acquisition node comprises a data acquisition path and a storage path, for example, the elements of the data acquisition path comprise: acquisition methods (e.g., canonical representation methods, API interfaces, web crawlers, etc.), forms of data storage (e.g., databases, websites, etc.), specifically, data may be acquired from a database using canonical representation methods or from a website using a website API interface or from a website using a web crawler; the templates corresponding to the data analysis nodes comprise one or more profit calculation models, collected data are analyzed from multiple dimensions, the multiple dimensions at least comprise profit types, profit rates and profit values, the templates corresponding to the trend prediction nodes comprise charts and prediction models of various dimensions after the data analysis nodes, and the prediction models are used for predicting trends of the data;
templates corresponding to nodes in the process are called from the archive management library.
For example, the product input by the client is a financial product, a corresponding process is configured from a process library, the process comprises a data acquisition node, a data analysis node and a trend prediction node, a product template corresponding to data acquisition comprises a data acquisition path and a storage path, the product template of the data analysis node comprises one or more fund profit calculation models, the acquired data is analyzed from multiple dimensions, the multiple dimensions comprise fund types, profit rates, profits and the like, and the template of the trend prediction node comprises charts and prediction models of various dimensions behind the data analysis node, and predicts the trend of the data, such as predicting the fund profit trend.
In the life cycle of the fund, the characteristics of long life cycle, more flow nodes, complex life cycle and changeable conditions exist. The method for customizing the workflow is suitable for various complex conditions, has the advantages of more code redundancy, large workload and serious repeated wheel manufacturing, is flexible and universal, and greatly improves the efficiency and reduces the code redundancy.
Preferably, when the client terminal self-defines the product management flow, the method comprises the following steps:
the client terminal customizes the flow of the product in the background, preferably, the flow of the customized product comprises whether the customized workflow is independent, and independent workflow is independently initiated independent of upper and lower workflow nodes, is not independent workflow, needs to rely on upper and lower node information, and cannot be independently initiated;
the portal acquires each flow in the life cycle of the current product, processes the business, renders different flows according to the self-defined flow, and adapts to various conditions.
The product management method in the above embodiments further includes plug-in steps S1-S4, which are deployed in a virtual machine, cloud, etc., and may also provide services (e.g., micro service interfaces) to be invoked by a third party.
In one embodiment of the present invention, in step S4, a template conforming to the preference of the user side is generated according to the preference of the client side for different elements, specifically, the method includes:
step S41, determining the similarity between different elements through word vector similarity;
step S42, clustering the browsing times or/and the selecting times of different elements by different clients as a preference matrix to obtain clusters of the clients;
step S43, browsing or/and selecting elements of all clients in a group are used as element sets of the group, and browsing times or/and selecting times of each element in the elements are used as behavior sequences of each client, wherein the behavior sequences are time behavior sequences of the clients on each element, and if the browsing times or/and selecting times of the elements by the clients are zero, the browsing times or/and selecting times of other elements which have browsing behaviors or/and selecting behaviors with the highest similarity with the elements are multiplied by the similarity to be used as browsing coefficients or/and selecting times of the elements in the behavior sequences;
step S44, dividing the behavior sequence into a plurality of first subsequences by adopting at least one sequence length, wherein the sequence length of the first subsequences is shorter than that of the behavior sequence;
step S45, building a tree of behavior sequences from the first subsequence, specifically: taking each element appearing in the behavior sequence as a root node, taking various element combinations in the first subsequence as branches, forming each subtree by each branch of each root node connected with the root node, wherein the frequency of the element represented by the root node appearing in the behavior sequence is the node value of the root node, and the sum of the frequency of the element combinations represented by the root node to the sub-nodes appearing in each first subsequence is the node value of the sub-node;
step S46, combining the root node representative elements of each branch in the subtree of the tree with the elements represented by the sub-nodes except the bottom sub-node to form a plurality of second sub-sequences with different sequence lengths according to the layer sequence;
step S47, obtaining the predicted probability that the element in the next order of each second sub-sequence is any element in the behavior sequence by the following formulas (1) and (2)
Wherein p (x|y) 1 y 2 …y i ) And p (i+1, x) represents a prediction probability that an element of the second subsequence order i+1 of sequence length i is x, p (i, x) represents an element of the second subsequence order i is an x prediction probability, p (1, x) represents an element of the second subsequence order 1 is an x prediction probability, y 1 A root node, y, representing a subtree of the tree of the behavior sequence 2 ,…,y i Representing the root node y of the subtree 1 Sub-nodes from the second layer to the ith layer of a branch of (a), y 1 y 2 …y i Representing a second subsequence of sequence length i corresponding to the branch, 1.ltoreq.i.ltoreq.n-1, N representing the highest number of layers of the branch, x representing the element to be predicted, N (y) 1 =x) represents the node value of x for the root node in the first layer of the subtree of the tree of the behavior sequence Σn (y) 1 ) The sum of the node values of the root nodes of the subtrees of the first layer of the tree representing the behavior sequence, N (y i+1 =x) represents the branch i-layer node y i The child node of the (i+1) th layer is the node value of x, N (y) i ) Node y representing the ith layer of the branch i Is used to determine the node value of (c),
representing the i-layer node y of the branch where the second subsequence is located i Adding node values of all child nodes of the (i+1) th layer;
step S48, ordering the elements of the second sub-sequence and the next sequence according to the order of the prediction probability from the high to the low, namely ordering the third sub-sequence composed of the elements of the second sub-sequence and the next sequence according to the prediction probability;
step S49, generating an element list including elements in the third sub-sequence having the maximum prediction probability.
Preferably, in step S41, the elements are classified according to the types of the elements, and the similarity between different elements in the same class of elements is determined through word vector similarity; in step S49, a third subsequence comprising the maximum prediction probability of the last element of the sequence of user actions is screened out, so as to obtain a next element of the last element, and a list of elements forming the next sequence in the various elements is obtained.
In addition, an embodiment of the present invention also proposes a computer-readable storage medium, in which a product management program is included, the product management program implementing the following steps when executed by a processor:
step S1, constructing an archive management library for storing templates;
s2, constructing an element list for recording elements forming a template;
step S3, a flow library is constructed and used for storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates;
and S4, receiving a product template generation request input by the client, calling a corresponding process of a product from a process library, calling templates corresponding to all nodes in the process from the archive management library, and generating a product template corresponding to the product template generation request through selection of corresponding elements of all templates in the element list by the client.
The embodiment of the computer readable storage medium of the present invention is substantially the same as the embodiment of the product management method and apparatus, and the electronic device, and will not be described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, apparatus, article, or method that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising several instructions for causing a terminal client (which may be a mobile phone, a computer, a server, or a network client, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (9)
1. A method of product management comprising:
constructing an archive management library for storing templates;
constructing an element list for recording elements constituting the template;
a flow library is constructed and used for storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates;
receiving a product template generation request input by a client, calling a corresponding flow of a product from a flow library, calling templates corresponding to all nodes in the flow from an archive management library, and generating a product template corresponding to the product template generation request through selection of corresponding elements of all templates in an element list by the client;
wherein the step of generating a product template comprises: generating templates conforming to the preferences of the user end according to the preferences of the client end on different elements, wherein:
determining the similarity between different elements through word vector similarity;
clustering the browsing times or/and the selecting times of different clients to different elements as a preference matrix to obtain clusters of the clients;
browsing or/and selecting elements of all the clients in a group as element sets of the group, wherein the browsing times or/and selecting times of the clients to each element form a behavior sequence of the clients, and the behavior sequence is a time behavior sequence of the clients to each element;
dividing the behavior sequence into a plurality of first sub-sequences with at least one sequence length, the sequence length of the first sub-sequences being shorter than the sequence length of the behavior sequence;
constructing a tree of behavior sequences according to the first subsequence;
combining the root node representative elements of each branch in the subtree of the tree with the elements represented by the sub-nodes except the bottom sub-node to form a plurality of second sub-sequences with different sequence lengths according to the layer sequence;
obtaining the predictive probability that the next element of each second sub-sequence is any element of the behavior sequence by
Wherein p (x|y) 1 y 2 ...y i ) And p (i+1, x) represents a prediction probability that an element of the second subsequence order i+1 of sequence length i is x, p (i, x) represents an element of the second subsequence order i is an x prediction probability, p (1, x) represents an element of the second subsequence order 1 is an x prediction probability, y 1 A root node, y, representing a subtree of the tree of the behavior sequence 2 ,...,y i Representing the root node y of the subtree 1 Sub-nodes from the second layer to the ith layer of a branch of (a), y 1 y 2 ...y i Representing a second subsequence of sequence length i corresponding to the branch, 1.ltoreq.i.ltoreq.n-1, N representing the highest number of layers of the branch, x representing the element to be predicted, N (y) 1 =x) represents the node value of x for the root node in the first layer of the subtree of the tree of the behavior sequence Σn (y) 1 ) The sum of the node values of the root nodes of the subtrees of the first layer of the tree representing the behavior sequence, N (y i+1 =x) represents the branch i-layer node y i The child node of the (i+1) th layer is the node value of x, N (y) i ) Node y representing the ith layer of the branch i Is used to determine the node value of (c),
representing the i-layer node y of the branch where the second subsequence is located i Adding node values of all child nodes of the (i+1) th layer;
sequencing the elements of each second subsequence and the next sequence according to the sequence from the big to the small of the prediction probability to form a third subsequence sequence;
an element list is generated that includes elements in the third sub-sequence that have the greatest predicted probability.
2. The product management method of claim 1, wherein elements of the template have a plurality of dimensions including types of elements, whether editable, and element lengths.
3. The product management method according to claim 1, further comprising, after the generating a product template corresponding to the product template generation request:
and receiving the data of each element input by the client, and generating a product according to the product template and the data.
4. The method for managing products according to claim 3, wherein the step of receiving the request for generating the product template input by the client, calling the corresponding flow of the product from the flow library, and calling the template corresponding to each node in the flow from the archive management library comprises:
receiving a recruitment product template generation request input by a client;
invoking a corresponding process of the recruitment product from a process library, wherein the process at least comprises five nodes of resume screening, initial trial, review, fixed pay and job entering, the five nodes are in serial relation, each node has two passing and non-passing sides, the passing side corresponds to the next node, and the non-passing side corresponds to the ending node;
templates corresponding to each node in the flow are called from the archive management library,
the system comprises a resume screening node, a first test node and a second test node, wherein the template corresponding to the resume screening node is a resume template, the template corresponding to the first test node is a first test question, the template corresponding to the second test node comprises a brief introduction of a test person, a comment of a first test score or recruiter and a scoring or comment of a second test person, the template corresponding to the firewood setting node at least comprises a firewood setting template, the firewood setting template comprises a wage information module or/and a comment module, and the template corresponding to the job entering node comprises a job entering information table.
5. The method for managing products according to claim 3, wherein the step of receiving the request for generating the product template input by the client, calling the corresponding flow of the product from the flow library, and calling the template corresponding to each node in the flow from the archive management library comprises:
receiving a data prediction product template generation request input by a client;
calling a corresponding flow of a data prediction product from a flow library, wherein the flow at least comprises a data acquisition node, a data analysis node and a trend prediction node;
templates corresponding to each node in the flow are called from the archive management library,
the templates corresponding to the data acquisition nodes comprise data acquisition paths and storage paths, the templates corresponding to the data analysis nodes comprise profit calculation models, the profit calculation models are used for analyzing acquired data from multiple dimensions, the multiple dimensions at least comprise profit types, profit rates and profit values, the templates corresponding to the trend prediction nodes comprise data analysis charts and prediction models, and the prediction models are used for predicting trends of the data.
6. The product management method of claim 1, further comprising performing a plug-in process on each step of the product management method, and deploying the product management method in a virtual machine or cloud environment.
7. A product management apparatus, comprising:
the first construction module is used for constructing an archive management library and storing templates;
the second construction module is used for constructing an element list and recording elements forming the template;
the third construction module is used for constructing a flow library and storing corresponding flows of the product, wherein the flows comprise nodes, relations among the nodes and roles corresponding to the nodes, and different nodes are associated with different templates;
the receiving module is used for receiving a product template generation request input by the client;
the calling module is used for calling the corresponding flow of the product from the flow library and calling templates corresponding to all nodes in the flow from the archive management library;
the generating module is used for generating a product template corresponding to the product template generating request through the selection of the corresponding elements of each template in the element list by the client;
wherein the step of generating a product template comprises: generating templates conforming to the preferences of the user end according to the preferences of the client end on different elements, wherein:
determining the similarity between different elements through word vector similarity;
clustering the browsing times or/and the selecting times of different clients to different elements as a preference matrix to obtain clusters of the clients;
browsing or/and selecting elements of all the clients in a group as element sets of the group, wherein the browsing times or/and selecting times of the clients to each element form a behavior sequence of the clients, and the behavior sequence is a time behavior sequence of the clients to each element;
dividing the behavior sequence into a plurality of first sub-sequences with at least one sequence length, the sequence length of the first sub-sequences being shorter than the sequence length of the behavior sequence;
constructing a tree of behavior sequences according to the first subsequence;
combining the root node representative elements of each branch in the subtree of the tree with the elements represented by the sub-nodes except the bottom sub-node to form a plurality of second sub-sequences with different sequence lengths according to the layer sequence;
obtaining the predictive probability that the next element of each second sub-sequence is any element of the behavior sequence by
Wherein p (x|y) 1 y 2 ...y i ) And p (i+1, x) represents a prediction probability that an element of the second subsequence order i+1 of sequence length i is x, p (i, x) represents an element of the second subsequence order i is an x prediction probability, p (1, x) represents an element of the second subsequence order 1 is an x prediction probability, y 1 A root node, y, representing a subtree of the tree of the behavior sequence 2 ,...,y i Representing the root node y of the subtree 1 Sub-nodes from the second layer to the ith layer of a branch of (a), y 1 y 2 ...y i Representing a second subsequence of sequence length i corresponding to the branch, 1.ltoreq.i.ltoreq.n-1, N representing the highest number of layers of the branch, x representing the element to be predicted, N (y) 1 =x) represents the node value of x for the root node in the first layer of the subtree of the tree of the behavior sequence Σn (y) 1 ) The sum of the node values of the root nodes of the subtrees of the first layer of the tree representing the behavior sequence, N (y i+1 =x) represents the branch i-layer node y i The child node of the (i+1) th layer is the node value of x, N (y) i ) Node y representing the ith layer of the branch i Is used to determine the node value of (c),
representing the i-layer node y of the branch where the second subsequence is located i Adding node values of all child nodes of the (i+1) th layer;
sequencing the elements of each second subsequence and the next sequence according to the sequence from the big to the small of the prediction probability to form a third subsequence sequence;
an element list is generated that includes elements in the third sub-sequence that have the greatest predicted probability.
8. An electronic device comprising a memory and a processor, the memory having stored therein a product management program that when executed by the processor implements the product management method of any of claims 1-6.
9. A computer readable storage medium, wherein a product management program is included in the computer readable storage medium, and when the product management program is executed by a processor, the product management method according to any one of claims 1-6 is implemented.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910870950.2A CN110599039B (en) | 2019-09-16 | 2019-09-16 | Product management method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910870950.2A CN110599039B (en) | 2019-09-16 | 2019-09-16 | Product management method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110599039A CN110599039A (en) | 2019-12-20 |
| CN110599039B true CN110599039B (en) | 2023-06-06 |
Family
ID=68859655
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910870950.2A Active CN110599039B (en) | 2019-09-16 | 2019-09-16 | Product management method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110599039B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101149830A (en) * | 2006-05-25 | 2008-03-26 | 邓尼赫姆拜有限公司 | Computer system for planning and evaluating in-store advertising for a retail entity |
| CN109299002A (en) * | 2018-08-24 | 2019-02-01 | 平安科技（深圳）有限公司 | Generation method, computer readable storage medium and the terminal device of test report |
| CN110209766A (en) * | 2019-05-23 | 2019-09-06 | 招商局金融科技有限公司 | Method for exhibiting data, electronic device and storage medium |
-
2019
- 2019-09-16 CN CN201910870950.2A patent/CN110599039B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101149830A (en) * | 2006-05-25 | 2008-03-26 | 邓尼赫姆拜有限公司 | Computer system for planning and evaluating in-store advertising for a retail entity |
| CN109299002A (en) * | 2018-08-24 | 2019-02-01 | 平安科技（深圳）有限公司 | Generation method, computer readable storage medium and the terminal device of test report |
| CN110209766A (en) * | 2019-05-23 | 2019-09-06 | 招商局金融科技有限公司 | Method for exhibiting data, electronic device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110599039A (en) | 2019-12-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11163542B2 (en) | Dynamically generating and rendering user interfaces based on data models | |
| US11645046B2 (en) | Systems and methods for development and deployment of software platforms having advanced workflow and event processing components | |
| US8776009B2 (en) | Method and system for task modeling of mobile phone applications | |
| US8799094B2 (en) | Product catalog management system and method | |
| US20060287937A1 (en) | Generative Investment Process | |
| KR102397495B1 (en) | No code web development and operating system, and service method using of it | |
| JP2008511935A (en) | User interface for data integration systems | |
| US20230052372A1 (en) | Methods and systems for artificial intelligence-assisted document annotation | |
| US20080059437A1 (en) | Data mining system | |
| US11204690B1 (en) | Systems and methods for software development and deployment platforms having advanced workflow and event processing capabilities and graphical version controls | |
| US20220291966A1 (en) | Systems and methods for process mining using unsupervised learning and for automating orchestration of workflows | |
| JP5675676B2 (en) | Business analysis design support device, business analysis design support method, and business analysis design support program | |
| JP2010015458A (en) | Program correction support system, program correction support method, and program correction support program | |
| KR102153259B1 (en) | Data domain recommendation method and method for constructing integrated data repository management system using recommended domain | |
| CN110599039B (en) | Product management method and device, electronic equipment and storage medium | |
| Bakaev et al. | Component-based engineering of web user interface designs for evolutionary optimization | |
| US20120084224A1 (en) | Automatically created report generator for managing information technology service projects | |
| CN114391151A (en) | Enhanced natural language generation platform | |
| CN112612481A (en) | System architecture of intelligent middle station | |
| US20150112771A1 (en) | Systems, methods, and program products for enhancing performance of an enterprise computer system | |
| CN113703638A (en) | Data management page processing method and device, electronic equipment and storage medium | |
| US11593096B1 (en) | Systems and methods for measuring complexity of applications and components in software development and deployment platforms | |
| US11829953B1 (en) | Digital processing systems and methods for managing sprints using linked electronic boards | |
| CN113704593B (en) | Operation data processing method and related device | |
| US20220237364A1 (en) | Click to document |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |