CN117076516A - Project cloud platform data management method and system based on flow market - Google Patents
Project cloud platform data management method and system based on flow market Download PDFInfo
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Abstract
The application is suitable for the technical field of data processing, and provides a project cloud platform data management method and a system thereof based on a flow market, wherein the method comprises the steps of responding to a consultation request initiated by a demand party to acquire enterprise basic information of the demand party, wherein the enterprise basic information comprises operation range information, product category information and product introduction information of the demand party; determining enterprise operation characteristic information of a demand side according to the enterprise basic information; determining target flow information in a preset flow market based on enterprise operation characteristic information, wherein the flow market stores a plurality of pieces of flow information to be selected, and the target flow information is used for describing the flow information to be selected which is most suitable for a requiring party; and sending the target flow information to the demander. The method and the system can be beneficial to the process of rapidly acquiring high information value for enterprises, effectively break information islands and improve the intelligent degree of enterprise management.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a project cloud platform data management method and system based on a flow market.
Background
With the development of economy and society, more and more enterprises are beginning to be created; the process is the core of enterprise survival, and the process not only can accelerate enterprise growth, but also can promote the whole work efficiency and realize standardized management.
At present, when an enterprise needs to make a process in the initial stage of partial establishment, a process suitable for the enterprise is usually searched in mass contents of the Internet, but a large number of repeated, invalid and unsuitable contents exist in the mass contents, and the problem that the process of rapidly acquiring high information value by the enterprise is unfavorable exists, so that the problem needs to be further improved.
Disclosure of Invention
Based on the above, the embodiment of the application provides a project cloud platform data management method and a system thereof based on a process market, which are used for solving the problem that the prior art is not beneficial to enterprises to quickly acquire a process with high information value.
In a first aspect, an embodiment of the present application provides a method for managing project cloud platform data based on a process market, where the method includes:
responding to a consultation request initiated by a demand party, and acquiring enterprise basic information of the demand party, wherein the enterprise basic information comprises business scope information, product category information and product introduction information of the demand party;
Determining enterprise operation characteristic information of the demander according to the enterprise basic information;
determining target flow information in a preset flow market based on the enterprise operation characteristic information, wherein the flow market stores a plurality of pieces of flow information to be selected, and the target flow information is used for describing the flow information to be selected which is most suitable for the demander;
and sending the target flow information to the demander.
Compared with the prior art, the beneficial effects that exist are: according to the project cloud platform data management method based on the flow market, terminal equipment can acquire enterprise basic information of a demand side, then determine enterprise operation characteristic information of the demand side according to operation range information, product category information and product introduction information in the enterprise basic information, determine target flow information of the most suitable demand side in a plurality of to-be-selected flow information of the flow market based on the enterprise operation characteristic information, and then send the target flow information to the demand side, so that the enterprise can acquire a flow most relevant to the enterprise quickly, and the problem that the enterprise is unfavorable for acquiring a flow with high information value quickly at present is solved to a certain extent.
In a second aspect, an embodiment of the present application provides a project cloud platform data management system based on a process market, where the system includes:
the enterprise basic information acquisition module: the method comprises the steps of responding to a consultation request initiated by a demand party, and obtaining enterprise basic information of the demand party, wherein the enterprise basic information comprises business scope information, product category information and product introduction information of the demand party;
the enterprise operation characteristic information determining module: the enterprise management characteristic information is used for determining the enterprise management characteristic information of the demander according to the enterprise basic information;
the target flow information determining module: the method comprises the steps of determining target flow information in a preset flow market based on enterprise operation characteristic information, wherein the flow market stores a plurality of pieces of flow information to be selected, and the target flow information is used for describing the flow information to be selected which is most suitable for the demander;
the target flow information sending module: and the target flow information is used for sending the target flow information to the demander.
In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect as described above when the processor executes the computer program.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method of the first aspect described above.
It will be appreciated that the advantages of the second to fourth aspects may be found in the relevant description of the first aspect and are not repeated here.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a flowchart of a project cloud platform data management method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of step S200 in the project cloud platform data management method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of product category information according to an embodiment of the present application;
fig. 4 is a flowchart of step S300 in the project cloud platform data management method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of a project cloud platform data management method according to an embodiment of the present application after step S310;
FIG. 6 is a block diagram of a project cloud platform data management system according to an embodiment of the present application;
Fig. 7 is a schematic diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In the description of the present specification and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In order to illustrate the technical scheme of the application, the following description is made by specific examples.
Referring to fig. 1, fig. 1 is a flowchart of a project cloud platform data management method according to an embodiment of the present application, where the project cloud platform data management method may be applied to a project cloud platform. In this embodiment, the execution body of the project cloud platform data management method is a terminal device. It will be appreciated that the types of terminal devices include, but are not limited to, cell phones, tablet computers, notebook computers, ultra-Mobile Personal Computer (UMPC), netbooks, personal digital assistants (Personal Digital Assistant, PDA), etc., and embodiments of the present application are not limited in any way to the specific type of terminal device.
Referring to fig. 1, the project cloud platform data management method provided by the embodiment of the application includes, but is not limited to, the following steps:
in S100, enterprise base information of the demander is acquired in response to the consultation request initiated by the demander.
Specifically, the terminal device may firstly respond to the consultation request initiated by the demand party to obtain the enterprise basic information of the demand party, where the demand party may be an enterprise that needs to quickly obtain a high information value flow in the initial stage, or may be an enterprise that needs to replace an existing flow; the high information value flow is used for describing a flow with high information value for the enterprise; the enterprise basic information comprises business scope information of the demand side, product category information and product introduction information, wherein the business scope information is used for describing the business scope of the demand side, the product category information is used for describing the category corresponding to the product provided by the demand side, and the product introduction information is used for describing the introduction corresponding to the product. It should be noted that, the basic information of the enterprise may be manually input by the demander, or may be obtained by the terminal device crawling on the public data of the internet (such as the corporate network of the demander) based on the name of the enterprise of the demander.
In S200, the enterprise business characteristic information of the demander is determined according to the enterprise base information.
Specifically, after the terminal device obtains the enterprise basic information, the terminal device may determine enterprise business feature information of the demander according to the enterprise basic information, where the enterprise business feature information is used to describe a business feature of the demander.
In some possible implementations, to facilitate accurate determination of the business characteristics of the demander, referring to fig. 2, step S200 includes, but is not limited to, the following steps:
in S210, first target keyword information is determined based on preset sort-out keyword screening operation range information.
Without loss of generality, the business context information includes a plurality of business item information, illustratively, when the business context information is "production, wholesale, retail, incoming processing: aluminum profiles, aluminum advertising windows, aluminum corner edge-folding lines, aluminum prefabricated rails, aluminum products, aluminum doors and windows, aluminum ladders, aluminum photo frames, hardware building materials, electronic products and hardware accessories; domestic trade; when the goods are imported and exported, the information of the plurality of operation items can be respectively "production", "wholesale", "retail", "incoming material processing", "aluminum profile", "aluminum advertisement window", "aluminum corner edge-folding line", "aluminum prefabricated railing", "aluminum product", "aluminum door window", "aluminum ladder", "aluminum photo frame", "hardware building material", "electronic product", "hardware fitting", "domestic trade" or "goods import and export".
Specifically, the terminal device may screen the operation range information based on a preset picking keyword, and determine first target keyword information, where the first target keyword information is used to describe operation item information including the picking keyword, and the terminal device may effectively locate the keyword in the operation range information through the first target keyword information, where the number of words of the picking keyword is less than or equal to the number of words of the operation item information. Illustratively, when the business context information is "production, wholesale, retail, incoming processing: aluminum profiles, aluminum advertising windows, aluminum corner edge-folding lines, aluminum prefabricated rails, aluminum products, aluminum doors and windows, aluminum ladders, aluminum photo frames, hardware building materials, electronic products and hardware accessories; domestic trade; and when the goods are imported and exported and the picking keywords are aluminum, the first target keyword information is aluminum profile, aluminum advertisement window, aluminum corner edge line, aluminum prefabricated railing, aluminum product, aluminum door window, aluminum ladder and aluminum photo frame, so that adverse effects of redundant data on the process of acquiring high information value are primarily reduced.
In S220, the product category information is determined to be the second target keyword information.
Specifically, after the terminal device determines the first target keyword information, the terminal device may determine the product category information as the second target keyword information. As an example, referring to fig. 3, when three products of "3004 aluminum foil", "PTP aluminum foil", "H24 aluminum foil" are being sold or planned to be sold on the official website of the demander, and the official website has classified "3004 aluminum foil" to "apply to food packaging", the "PTP aluminum foil" to "apply to medicine packaging", the "H24 aluminum foil" to "apply to cigarette packaging", and the official website has classified "apply to food packaging", "apply to medicine packaging", and "apply to cigarette packaging" to "aluminum for packaging container", the terminal device may determine the product category information of specifically "apply to food packaging", "apply to medicine packaging", "apply to cigarette packaging", and "aluminum for packaging container" as the second target keyword information, that is, the second target keyword information is "apply to food packaging", "apply to medicine packaging", "apply to cigarette packaging", and "aluminum for packaging container".
In S230, the product introduction information is segmented based on a preset word segmentation method, and a plurality of individual word information is determined.
Specifically, the product introduction information includes a plurality of individual word information for describing the minimum word segmentation in the product introduction information; after the terminal device determines the second target keyword information, the terminal device may segment the product introduction information based on a preset word segmentation method, and determine a plurality of individual word information, where the word segmentation method may be based on a reverse maximum matching algorithm of a dictionary, or may be based on a word segmentation algorithm of deep learning (such as a word segmentation algorithm based on a model combining LSTM and CRF). For example, when the product introduction information is "3004 aluminum foil sold by the present enterprise can be applied to food packages, such as cutlery boxes and take-away thermal bags, and the present enterprise can process cutlery boxes with attractive shapes instead. The plurality of individual word information can be 3004 aluminum foil, food packaging, cutlery box or take-away thermal insulation bag respectively.
In S240, word frequency information of each individual word information is determined based on a preset word frequency calculation formula, respectively.
Specifically, word frequency information is used to describe the word frequency of individual word information; after the terminal device determines the plurality of individual word information, the terminal device may determine word frequency information of each individual word information based on a preset word frequency calculation formula, where the word frequency calculation formula may be:
Word frequency information = number of occurrences of the individual word information +.f. total number of all individual word information in the product introduction information.
In S250, it is determined that the individual word information having the highest word frequency information is the third target keyword information.
Specifically, after the terminal device determines the word frequency information of each individual word information, the terminal device may determine the individual word information having the highest word frequency information as the third target keyword information. For example, when the word frequency information corresponding to the individual word information specific to "cutlery box" is 33.333% and the word frequency information corresponding to the individual word information specific to "take-out thermal bag" is 16.667%, the terminal device may determine that the individual word information specific to "cutlery box" is the third target keyword information.
Without loss of generality, in order to be suitable for more application scenarios, when the word frequency information corresponding to each single word information is equal, the terminal device may select any one single word information to determine as the third target keyword information.
In S260, keyword relevance information is determined according to the first, second, and third target keyword information and a preset keyword relevance function.
Specifically, the keyword relevance information is used for describing the overall relevance of the first target keyword information, the second target keyword information and the third target keyword information; the terminal device can input the first target keyword information, the second target keyword information and the third target keyword information into a preset keyword correlation function, and accurately determine the keyword correlation information.
In some possible implementations, the keyword relevance function may be:
，
in the method, in the process of the invention,representing a keyword relevance function;representing keyword relevance information; />Representing first target keyword information, ++>Representing second target keyword information, +.>Representing third target keyword information; />Representing the number of articles in a preset document database; />Representing the number of articles containing first target keyword information; />Representing the number of articles containing the second target keyword information; />Representing the number of articles containing third target keyword information; />The number of articles for which the first target keyword information, the second target keyword information, and the third target keyword information are simultaneously contained.
By the keyword correlation function, the degree of semantic association of the first target keyword information, the second target keyword information and the third target keyword information can be rapidly and accurately measured based on an article containing any one or two of the first target keyword information, the second target keyword information and the third target keyword information and an article containing the first target keyword information, the second target keyword information and the third target keyword information at the same time.
In S270, the keyword relevance information is compared with a preset relevance threshold.
Specifically, after the terminal device determines the keyword relevance information, the terminal device may compare the keyword relevance information with a preset relevance threshold, and the relevance threshold may be set to 2.3.
In S280, if the keyword relevance information is greater than or equal to the relevance threshold, a keyword feature set is constructed according to the first target keyword information, the second target keyword information, and the third target keyword information.
Specifically, if the keyword relevance information is greater than or equal to the relevance threshold, it indicates that the first target keyword information, the second target keyword information and the third target keyword can better quantify the business characteristics of the demander, and the terminal device can construct a keyword characteristic set according to the first target keyword information, the second target keyword information and the third target keyword information.
In S290, the keyword feature set is determined as enterprise business feature information of the demander.
Specifically, after the terminal device constructs the keyword feature set, the terminal device may determine the keyword feature set as enterprise business feature information of the demander.
In S300, based on the enterprise business characteristic information, the target process information is determined in a preset process market.
Specifically, the process market may store a plurality of candidate process information, where the candidate process information is used to describe a process that may be selected by the demander, and the candidate process information may be, for example: counting the demand of aluminum materials, purchasing the aluminum materials, checking and accepting the aluminum materials, warehousing, taking materials, processing, sampling and checking an aluminum processed product, assembling the aluminum processed product, cleaning an aluminum alloy door and window finished product or semi-finished product, checking the aluminum alloy door and window finished product or semi-finished product, packaging and transporting. The target flow information is used for describing the flow information to be selected which is most suitable for the demand party. The terminal device can determine the target flow information from a plurality of pieces of flow information to be selected in a preset flow market based on the enterprise operation characteristic information.
In some possible implementations, referring to fig. 4, in order to improve the efficiency of determining the target flow information, step S300 includes, but is not limited to, the following steps:
in S310, the reference keyword information in the flow market is traversed based on the enterprise business feature information, and the target applicable object information is determined.
The process market also stores applicable object information corresponding to a plurality of process information to be selected and reference keyword information corresponding to the plurality of applicable object information, wherein the applicable object information is used for describing objects to which the process information to be selected is applicable, such as aluminum material requirement statistics, aluminum material purchasing, aluminum material checking and warehousing, material receiving processing, aluminum processed product sampling inspection, aluminum processed product assembling, aluminum alloy door and window finished product or semi-finished product cleaning, aluminum alloy door and window finished product or semi-finished product inspection, packaging and transportation, and the applicable objects corresponding to the process information to be selected are aluminum processing enterprises. The reference keyword information is used for describing keywords corresponding to the applicable object information, for example, when the applicable object is an aluminum processing enterprise, the reference keyword information can be "aluminum profile", "aluminum advertisement window", "aluminum product", "aluminum door window", "food" and "cutlery box".
Specifically, the target applicable object information is applicable object information for describing that the reference keyword information is partially or completely identical to the enterprise business feature information; the terminal device can traverse a plurality of datum keyword information in the flow market based on the enterprise business feature information, and when a certain datum keyword information is the same as the enterprise business feature information or a certain datum keyword information is the same as a certain element in the enterprise business feature information, the terminal device can determine that the applicable object information related to the datum keyword information is target applicable object information
In S320, it is determined that the selected flow information corresponding to the target applicable object information is the target flow information.
Specifically, after the terminal device determines the target applicable object information, the terminal device may determine the to-be-selected flow information corresponding to the target applicable object information as the target flow information, so as to quickly determine a flow most suitable for the demander in the flow market.
In S400, the target flow information is transmitted to the desiring party.
Specifically, after the terminal device determines the target flow information, the terminal device may send the target flow information to the demander, so as to recommend a most suitable flow for the demander, so that the enterprise can quickly obtain a flow with high information value.
In some possible implementations, in order to determine a flow that is most suitable for the demand party when determining a plurality of flows that are all suitable for the demand party, referring to fig. 5, after step S310, the method further includes, but is not limited to, the following steps:
in S3101, the number information of target application object information is acquired.
Without loss of generality, the enterprise basic information further comprises asset total information of the demander and employee number information, wherein the asset total information is used for describing asset total of the demander, and the employee number information is used for describing employee number of the demander; the process market also stores reference total information corresponding to the plurality of applicable object information, reference employee number information corresponding to the plurality of applicable object information, user grading information corresponding to the plurality of to-be-selected process information and downloading frequency information corresponding to the plurality of to-be-selected process information, wherein the reference total information is used for describing the asset total of the applicable object information, the user grading information is used for describing the user grading of the to-be-selected process information, and the downloading frequency information is used for describing the downloading frequency of the to-be-selected process information.
Specifically, the terminal device may first acquire the number information of the target applicable object information.
In S3102, if the number information is greater than 1, for each target application object information, the selected flow information corresponding to the target application object information: and determining the suitability information of the flow information to be selected according to the asset total information, the employee number information, the reference total information, the reference employee number information, the user scoring information, the downloading frequency information and a preset suitability information calculation formula.
Specifically, after the terminal device acquires the number information of the target application object information, if the number information is greater than 1, the terminal device may perform the following processing for the to-be-selected flow information corresponding to each target application object information: and inputting the asset total information, the employee number information, the reference total information, the reference employee number information, the user scoring information and the downloading frequency information into a preset fitness information calculation formula, and determining the fitness information of the flow information to be selected.
In some possible implementations, the fitness information calculation formula may be:
，
in the method, in the process of the invention,the suitability information is represented, the suitability information is used for describing the degree that the flow information to be selected meets the demand party, and the larger the suitability information is, the more suitable the flow information to be selected meets the demand party; / >User scoring information corresponding to the target flow information is represented, and a value interval of the user scoring information represents any positive real number between 1.1 and 10;representing keyword relevance information, < >>Representing first target keyword information, ++>Representing second target keyword information, +.>And representing third target keyword information.
In the method, in the process of the invention,representing reference total information, illustratively, when the total amount of assets of the applicable subject is 500 ten thousand,/v>500 may be taken; />Representing asset aggregate information, illustratively, when the aggregate asset of the demander is 420 ten thousand,/v>May be taken 420; />Representing reference staff number information, illustratively, when the staff member of the applicable object is 500 persons,/>500 may be taken; />Information indicating the number of staff members, illustratively, when the staff member of the demander is 420, the +.>May be taken 420; />Information indicating the number of downloads corresponding to the target flow information, for example, when the number of downloads of the flow is 500 times +.>500 may be taken.
In the method, in the process of the invention,when the reference total amount information is not equal to the asset total amount information, the value of the first adjustment parameter information can be 0, so that interference of irrelevant parameters on a calculation result in the current calculation scene is reduced; when the reference total amount information is equal to the asset total amount information, the flow information to be selected is already primarily suitable for the demand party, and the best possibility that the flow information to be selected is suitable for the demand party is relatively high, so the value of the first adjustment parameter information can be 1.01./ >When the reference staff number information is not equal to the staff number information, the value of the second adjustment parameter information can be 0, so that errors caused by irrelevant parameters to a calculation result in the current calculation scene are further reduced; when the reference staff number information is equal to the staff number information, the to-be-selected flow information is already preliminarily adapted to the demand party, and the possibility that the to-be-selected flow information is best adapted to the demand party is very high, so that the value of the second adjustment parameter information can be 1.01.
It should be noted that, the fitness information calculation formula can comprehensively consider core reference amounts such as user scoring information, keyword relevance information, reference staff number information, reference total amount information, asset total amount information and downloading frequency information, accurately quantize the degree that each piece of to-be-selected process information is suitable for a demand party, and is favorable for providing an optimal to-be-selected process information for enterprises rapidly and accurately in a large amount of to-be-selected process information.
Illustratively, when the score of the first to-be-selected process information is 8.8, the keyword relevance information is 2.3, the total amount of the assets of the applicable objects is 450 ten thousand, the total amount of the assets of the demander is 420 ten thousand, the staff of the applicable objects is 45, the staff of the demander is 42, and the downloading frequency of the to-be-selected process information is 500 times, the suitability information of the first to-be-selected process information is 0.776; when the score of the second to-be-selected process information is 4.5, the keyword relevance information is 1.9, the total amount of the assets of the applicable objects is 100 ten thousand, the total amount of the assets of the demander is 420 ten thousand, the staff of the applicable objects is 10, the staff of the demander is 42, and the downloading frequency of the to-be-selected process information is 20, the suitability information of the second to-be-selected process information is 0.070; the suitability information of the first to-be-selected flow information is greater than the suitability information of the second to-be-selected flow information, and the terminal device may determine that the first to-be-selected flow information is the target flow information.
Accordingly, step S320 includes, but is not limited to, the following steps:
in S321, the selected flow information with the largest fitness information is determined as the recommended flow information.
Specifically, after the terminal device determines suitability information of the to-be-selected flow information corresponding to each target applicable object information, the terminal device may determine that the to-be-selected flow information with the maximum suitability information is the recommended flow information.
Accordingly, step S400 includes, but is not limited to, the steps of:
in S410, the recommended flow information is transmitted to the demander.
Specifically, the terminal device may send the recommended flow information to the demander.
In some possible implementations, to improve the use experience of the demander, after step S321, the method further includes, but is not limited to, the following steps:
in S3211, for each target, the selected flow information corresponding to the object information is applied: and sequencing the flow information to be selected except the recommended flow information according to the order of the suitability information from large to small, and generating alternative flow sequence list information.
Specifically, the terminal device may perform the following processing for the selected flow information corresponding to each target applicable object information: and sequencing the flow information to be selected except the recommended flow information according to the order of the suitability information from large to small, and generating alternative flow sequence list information.
Accordingly, step S400 includes, but is not limited to, the steps of:
in S420, the recommended flow information and the alternative flow sequence list information are transmitted to the demander.
Specifically, after the terminal device generates the alternative flow sequence list information, the terminal device may transmit the recommended flow information and the alternative flow sequence list information to the demander.
The implementation principle of the project cloud platform data management method based on the flow market in the embodiment of the application is as follows: the terminal equipment can firstly respond to the consultation request initiated by the demand party to acquire the enterprise basic information of the demand party, then determine the enterprise business characteristic information of the demand party according to the enterprise basic information, then determine the target flow information based on the enterprise business characteristic information in the preset flow market, and then send the target flow information to the demand party, so that a proper flow is provided for the enterprise rapidly, and the enterprise can acquire a flow with high information value rapidly.
It should be noted that, the sequence number of each step in the above embodiment does not mean the sequence of execution sequence, and the execution sequence of each process should be determined by its function and internal logic, and should not limit the implementation process of the embodiment of the present application in any way.
The embodiment of the present application further provides a project cloud platform data management system based on a process market, for convenience of description, only a portion relevant to the present application is shown, as shown in fig. 6, the system 60 includes:
enterprise basic information acquisition module 61: the method comprises the steps of responding to a consultation request initiated by a demand party, and obtaining enterprise basic information of the demand party, wherein the enterprise basic information comprises business scope information, product category information and product introduction information of the demand party;
enterprise business trait information determination module 62: the enterprise management characteristic information is used for determining the enterprise management characteristic information of the requiring party according to the enterprise basic information;
the target flow information determination module 63: the method comprises the steps of determining target flow information in a preset flow market based on enterprise operation characteristic information, wherein the flow market stores a plurality of pieces of flow information to be selected, and the target flow information is used for describing the flow information to be selected which is most suitable for a requiring party;
the target flow information transmitting module 64: for sending the target flow information to the requesting party.
Optionally, the business scope information includes a plurality of business project information, and the product introduction information includes a plurality of individual word information; the enterprise business characteristic information determination module 62 includes:
The first target keyword information determination submodule: the method comprises the steps of screening operation range information based on preset picking keywords, and determining first target keyword information, wherein the number of words of the picking keywords is smaller than or equal to that of words of operation item information, and the first target keyword information is used for describing the operation item information containing the picking keywords;
the second target keyword information determination submodule: the method comprises the steps of determining product category information as second target keyword information;
the individual word information determination submodule: the method comprises the steps of dividing product introduction information based on a preset word dividing method, and determining a plurality of independent word information;
word frequency information determination submodule: the word frequency information of each individual word information is respectively determined based on a preset word frequency calculation formula;
the third target keyword information determination submodule: the single word information with the highest word frequency information is used for determining the single word information as third target keyword information;
keyword relevance information determination submodule: the method comprises the steps of determining keyword relevance information according to first target keyword information, second target keyword information, third target keyword information and a preset keyword relevance function, wherein the keyword relevance information is used for describing the overall relevance of the first target keyword information, the second target keyword information and the third target keyword information;
Correlation threshold comparison sub-module: the method comprises the steps of comparing the keyword relevance information with a preset relevance threshold;
the keyword feature set construction submodule: if the keyword relevance information is greater than or equal to the relevance threshold, constructing a keyword feature set according to the first target keyword information, the second target keyword information and the third target keyword information;
and the enterprise operation characteristic information determining submodule: and the enterprise business characteristic information is used for determining the keyword characteristic set as the demander.
Optionally, the process market further stores applicable object information corresponding to the plurality of to-be-selected process information and reference keyword information corresponding to the plurality of applicable object information; optionally, the target flow information determining module 63 includes:
target applicable object information determination submodule: the method comprises the steps of traversing basic keyword information in a process market based on enterprise business feature information, and determining target applicable object information, wherein the target applicable object information is applicable object information for describing part or all of the same basic keyword information and enterprise business feature information;
the target flow information determination submodule: and the method is used for determining the to-be-selected flow information corresponding to the target applicable object information as target flow information.
Optionally, the enterprise basic information further includes asset total information and employee number information of the demander, and the process market further stores reference total information corresponding to the plurality of applicable object information, reference employee number information corresponding to the plurality of applicable object information, user scoring information corresponding to the plurality of process information to be selected and downloading frequency information corresponding to the plurality of process information to be selected; the system 60 further includes:
the quantity information acquisition module: the quantity information is used for acquiring the target applicable object information;
the fitness information determining module: if the number information is greater than 1, the method is used for applying the candidate flow information corresponding to the object information aiming at each target: and determining the suitability information of the flow information to be selected according to the asset total information, the employee number information, the reference total information, the reference employee number information, the user scoring information, the downloading frequency information and a preset suitability information calculation formula.
Accordingly, the target flow information determining sub-module includes:
a recommended flow information determination unit: the to-be-selected flow information used for determining the maximum suitability degree information is recommended flow information;
accordingly, the target flow information sending module 64 includes:
A recommended flow information sending sub-module: for sending recommended flow information to the requesting party.
Optionally, the system 60 further comprises:
the alternative flow sequence list information generation module: the method comprises the steps of applying to each target to the selected flow information corresponding to the object information: sequencing the flow information to be selected except the recommended flow information according to the sequence of the suitability information from large to small to generate alternative flow sequence table information;
correspondingly, the recommended flow information sending sub-module comprises:
alternative flow sequence list information sending unit: and the method is used for sending the recommended flow information and the alternative flow sequence list information to the demander.
It should be noted that, because the content of information interaction and execution process between the modules and the embodiment of the method of the present application are based on the same concept, specific functions and technical effects thereof may be referred to in the method embodiment section, and details thereof are not repeated herein.
The embodiment of the present application also provides a terminal device, as shown in fig. 7, a terminal device 70 of the embodiment includes: a processor 71, a memory 72 and a computer program 73 stored in the memory 72 and executable on the processor 71. The steps in the above-described flow processing method embodiment, such as steps S100 to S400 shown in fig. 1, are implemented when the processor 71 executes the computer program 73; alternatively, the processor 71, when executing the computer program 73, performs the functions of the modules in the apparatus described above, such as the functions of the modules 61 to 64 shown in fig. 6.
The terminal device 70 may be a desktop computer, a notebook computer, a palm top computer, a cloud server, etc., and the terminal device 70 includes, but is not limited to, a processor 71, a memory 72. It will be appreciated by those skilled in the art that fig. 7 is merely an example of the terminal device 70 and is not limiting of the terminal device 70, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device 70 may also include input-output devices, network access devices, buses, etc.
The processor 71 may be a central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.; a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 72 may be an internal storage unit of the terminal device 70, such as a hard disk or a memory of the terminal device 70, or the memory 72 may be an external storage device of the terminal device 70, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the terminal device 70; further, the memory 72 may also include both an internal storage unit and an external storage device of the terminal device 70, the memory 72 may also store the computer program 73 and other programs and data required by the terminal device 70, and the memory 72 may also be used to temporarily store data that has been output or is to be output.
An embodiment of the present application also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the various method embodiments described above. Wherein the computer program comprises computer program code, the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc.; the computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in the method, principle and structure of the present application should be covered by the protection scope of the present application.
Claims (8)
1. The project cloud platform data management method based on the flow market is characterized by comprising the following steps:
responding to a consultation request initiated by a demand party, and acquiring enterprise basic information of the demand party, wherein the enterprise basic information comprises business scope information, product category information and product introduction information of the demand party;
Determining enterprise operation characteristic information of the demander according to the enterprise basic information;
determining target flow information in a preset flow market based on the enterprise operation characteristic information, wherein the flow market stores a plurality of pieces of flow information to be selected, and the target flow information is used for describing the flow information to be selected which is most suitable for the demander;
and sending the target flow information to the demander.
2. The method of claim 1, wherein the business scope information comprises a plurality of business project information and the product introduction information comprises a plurality of individual word information; the determining the enterprise operation characteristic information of the demander according to the enterprise basic information comprises the following steps:
screening the operation range information based on preset picking keywords, and determining first target keyword information, wherein the number of words of the picking keywords is smaller than or equal to that of words of the operation item information, and the first target keyword information is used for describing the operation item information containing the picking keywords;
determining the product category information as second target keyword information;
dividing the product introduction information based on a preset word dividing method, and determining a plurality of independent word information;
Based on a preset word frequency calculation formula, determining word frequency information of each individual word information respectively;
determining the single word information with the highest word frequency information as third target keyword information;
determining keyword relevance information according to the first target keyword information, the second target keyword information and the third target keyword information and a preset keyword relevance function, wherein the keyword relevance information is used for describing the overall relevance of the first target keyword information, the second target keyword information and the third target keyword information;
comparing the keyword relevance information with a preset relevance threshold;
if the keyword relevance information is greater than or equal to the relevance threshold, a keyword feature set is constructed according to the first target keyword information, the second target keyword information and the third target keyword information;
and determining the keyword feature set as enterprise operation feature information of the demander.
3. The method according to claim 2, wherein the flow market further stores a plurality of applicable object information corresponding to the flow information to be selected and reference keyword information corresponding to the plurality of applicable object information; the determining the target process information in the preset process market based on the enterprise operation characteristic information comprises the following steps:
Traversing the reference keyword information in the process market based on the enterprise business feature information, and determining target applicable object information, wherein the target applicable object information is used for describing applicable object information of which the reference keyword information is partially or completely the same as the enterprise business feature information;
and determining the to-be-selected flow information corresponding to the target applicable object information as target flow information.
4. The method of claim 3, wherein the enterprise base information further includes asset total information and employee number information of the demander, and the process market further stores reference total information corresponding to the plurality of applicable object information, reference employee number information corresponding to the plurality of applicable object information, user scoring information corresponding to the plurality of process information to be selected, and download number information corresponding to the plurality of process information to be selected; after traversing the reference keyword information in the process market based on the enterprise business feature information and determining target applicable object information, the method further comprises:
acquiring the quantity information of the target applicable object information;
if the number information is greater than 1, aiming at the to-be-selected flow information corresponding to each target applicable object information: determining suitability information of the process information to be selected according to the asset total information, the staff number information, the reference total information, the reference staff number information, the user scoring information, the downloading times information and a preset suitability information calculation formula, wherein the suitability information calculation formula is as follows:
，
In the method, in the process of the invention,the suitability information is used for describing the degree of the process information to be selected suitable for the requiring party, and the larger the suitability information is, the more suitable the process information to be selected is for the requiring party;user scoring information corresponding to the target flow information, wherein the value interval of the user scoring information is any positive real number between 1.1 and 10; />For the keyword relevance information, +.>For said first target keyword information, < +.>For said second target keyword information, < +.>The third target keyword information; />For the reference total information;information about the total amount of the asset; />Information about the number of reference workers; />Information on the number of workers for the job; />Downloading times information corresponding to the target flow information; />The value of the first adjustment parameter information is 0 when the reference total amount information is not equal to the asset total amount information, and 1.01 when the reference total amount information is equal to the asset total amount information; />The value of the second adjusting parameter information is 0 when the reference staff number information is not equal to the staff number information, and is 1.01 when the reference staff number information is equal to the staff number information;
Correspondingly, the determining that the to-be-selected process information corresponding to the target applicable object information is target process information includes:
determining the to-be-selected flow information with the maximum fitness information as recommended flow information;
accordingly, the sending the target flow information to the demander includes:
and sending the recommended flow information to the demander.
5. The method of claim 4, wherein after the determining that the candidate flow information with the greatest fitness information is recommended flow information, the method further comprises:
for the selected flow information corresponding to each target applicable object information:
sorting the flow information to be selected except the recommended flow information according to the sequence of the suitability information from big to small to generate alternative flow sequence table information;
accordingly, the sending the recommended flow information to the demander includes:
and sending the recommended flow information and the alternative flow sequence list information to the demander.
6. A process market-based project cloud platform data management system, the system comprising:
the enterprise basic information acquisition module: the method comprises the steps of responding to a consultation request initiated by a demand party, and obtaining enterprise basic information of the demand party, wherein the enterprise basic information comprises business scope information, product category information and product introduction information of the demand party;
The enterprise operation characteristic information determining module: the enterprise management characteristic information is used for determining the enterprise management characteristic information of the demander according to the enterprise basic information;
the target flow information determining module: the method comprises the steps of determining target flow information in a preset flow market based on enterprise operation characteristic information, wherein the flow market stores a plurality of pieces of flow information to be selected, and the target flow information is used for describing the flow information to be selected which is most suitable for the demander;
the target flow information sending module: and the target flow information is used for sending the target flow information to the demander.
7. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 5.
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