Intelligent cooperative processing system and method based on digital platform

Abstract

The invention discloses an intelligent cooperative processing system and method based on a digital platform, and belongs to the technical field of cooperative processing. Comprising the following steps: constructing a project service label set, and adding supplier feature labels to construct a project service database; constructing a project demand set, if an intersection set between the supplier feature tag and the project demand set is not an empty set, obtaining a supply-demand collaborative set, and calculating a matching index of a project service tag in the supply-demand collaborative set; generating a project service supplier recommendation list by calculating a recommendation index of a project service supplier, and sending the project service supplier recommendation list to a project demand side; the project demand side evaluates each project service label of the project service supplier recommendation list so as to update a project service database; according to the invention, through supply and demand collaboration of project services in a supply and demand collaboration set, recommendable project service suppliers are accurately identified; and the recommendation index of the project service supplier is further calculated, so that the recommendation accuracy of the project service supplier is improved, and the quality of cooperative processing is ensured.

Description

Technical Field

[0001] The present invention relates to the field of collaborative processing technology, and in particular to an intelligent collaborative processing system and method based on a digital platform. Background Art

[0002] A digital platform is a system platform that integrates multiple digital technologies and services, and can provide integrated digital solutions for enterprises, organizations, industries and individuals. In the application of digital platforms in the field of intelligent collaborative processing, real-time data sharing can be achieved. However, when project demanders use digital platforms to find project service providers that meet project needs, the project service providers recommended by the digital platform are difficult to meet the project needs of project demanders. This will not only reduce the satisfaction of project demanders, but also reduce the quality of collaborative work.

[0003] Therefore, how to improve the accuracy of recommendations and ensure the quality of collaborative processing in digital platforms becomes a problem we need to solve. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent collaborative processing system and method based on a digital platform to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] An intelligent collaborative processing method based on a digital platform, the method comprising the following steps:

[0007] Step S100: The digital platform matches the project service information through a preset keyword information library and generates a project service tag to construct a project service tag set; based on the name of the project service supplier, the supplier characteristic tag is added to the project service tag set; and the evaluation data corresponding to each project service tag in the supplier characteristic tag is obtained to construct a project service database;

[0008] Step S200: The digital platform matches the project demand information through a preset keyword information library and generates a project demand tag to construct a project demand set; if the intersection set between the supplier feature tag and the project demand set is not an empty set, the project service supplier name in the supplier feature tag is identified and recorded in the supplier matching set to obtain a supply and demand coordination set; based on the project service database, the matching index of the project service tag in the supply and demand coordination set is calculated;

[0009] Step S300: Calculate the recommendation index of the project service supplier according to the matching index of each project service tag in the supply and demand collaborative set, generate a recommended list of project service suppliers in descending order of the recommendation index of the project service supplier, and send the recommended list of project service suppliers to the project demander;

[0010] Step S400: The project demander evaluates each project service tag in the supply and demand collaboration set corresponding to the project service supplier's recommendation list according to a preset evaluation template, and the digital platform updates the project service database according to the project demander's evaluation information.

[0011] Furthermore, the specific implementation process of step S100 includes:

[0012] Step S101: The digital platform matches the project service information through a preset keyword information library. The project service information is filled in by the project service provider through a formatted template, and a project service tag is generated. The project service tag is a keyword used to describe the project service information, and one project service information corresponds to one project service tag. A project service tag set S = {s n |n∈[1,N]}, where s n represents the nth project service label, and N represents the total number of project service labels in the project service label set;

[0013] Step S102: Based on the name of the project service supplier, add a supplier feature label to the project service label set S, denoted as S|A, and S|A=S, where A represents the name of the project service supplier; obtain evaluation data corresponding to each project service label in the supplier feature label, the evaluation data including the number of positive reviews and the number of negative reviews; construct a project service database, the project service database records the project service supplier data and evaluation data, the project service supplier data including the project service supplier name and the supplier feature label.

[0014] It should be explained that the project service tag is a unique identifier of the project service information, and the keywords used to describe the project service information include the type of project service, the service time of the project service, etc.

[0015] Furthermore, the specific implementation process of step S200 includes:

[0016] Step S201: The digital platform matches the project demand information according to the preset keyword information library. The project demand information is filled in by the project demander through a formatted template, and a project demand tag is generated. The project demand tag is a keyword used to describe the project demand information, and one project demand information corresponds to one project demand tag; a project demand set H = {h i |i∈[1,I]}, where h i represents the i-th project requirement label in the project requirement set, and I represents the total number of project requirement labels in the project requirement set;

[0017] It should be explained that the project service information and project demand information are matched by the same preset keyword information library to generate project service tags and project demand tags respectively. A project service tag s n Corresponding to a project requirement tag h i , and s n =h i , so there may be an intersection between the supplier feature labels and the project requirement set.

[0018] Step S202: If the intersection set between the supplier feature tag and the project requirement set is not an empty set, identify the project service supplier name in the supplier feature tag and record it in the supplier matching set W = {w r |r∈[1,R]}, where w r represents the name of the project service supplier of the r-th supplier characteristic label, and R represents the total number of project service suppliers whose intersection set of the supplier characteristic label and the project demand set is not an empty set;

[0019] Based on the supplier feature label S|w r With the project demand set H, we get the supply and demand coordination set G|w r =(S|w r )∩H={g e |e∈[1,E]}, where g e Indicates the supplier feature label S|w r The e-th project service label of the intersection set with the project demand set H, E represents the supplier feature label S|w r The total number of project service labels in the intersection set with the project requirement set H;

[0020] Based on the project service database, extract the supply and demand coordination set G|w r The evaluation data of each project service label in the calculation of the supply and demand coordination set G|w r The matching index of the service label of the e-th item in Among them, HA e Denotes the supply-demand coordination set G|w r The number of favorable comments corresponding to the e-th item service label in SU e Denotes the supply-demand coordination set G|w r The sum of the number of positive reviews and the number of negative reviews corresponding to the e-th item service label.

[0021] It should be explained that when the digital platform recommends project service suppliers to project demanders, it is not only necessary to match project service suppliers according to the project demand set, but also to conduct numerical analysis on the historical evaluation of the project service labels of the project service suppliers. As the proportion of positive reviews increases, the possibility of recommendation also increases. Therefore, by calculating the supply and demand coordination set G|w rThe matching index of the e-th project service label in reflects the recommended project service provider w r possibility, thereby improving the credibility of the digital platform's recommended project services and achieving accurate recommendations on the digital platform.

[0022] Furthermore, the specific implementation process of step S300 includes:

[0023] Step S301: Based on the supply and demand coordination set G|w r The matching index of each project service label in the project service provider w is calculated. r Recommendation index Among them, f(h i ) indicates that the independent variable is the project requirement label h i Piecewise function of ;

[0024] It should be explained that for the project service supplier, the more the project service tags in the supplier feature tags are the same as the project demand tags in the project demand set, the greater the recommendation index is, and the more worthy of recommendation the project service supplier is; as the supply and demand coordination set G|w r As the matching index of each project service label increases, the proportion of positive reviews also increases, and the recommendation index also increases, indicating that it is more worthy of recommendation.

[0025] Step S302: Generate a project service supplier recommendation list in descending order of the recommendation index of the project service supplier, wherein the project service supplier recommendation list records the names of the recommended project service suppliers and the project service tags of each project in the supply and demand collaboration center, and sends the project service supplier recommendation list to the project demander.

[0026] Furthermore, the specific implementation process of step S400 includes:

[0027] The project demander fills in the evaluation information for each project service tag in the supply and demand collaboration center corresponding to the project service supplier's recommendation list according to the preset evaluation template of the digital platform. The evaluation information includes positive and negative reviews. The digital platform updates the project service database according to the evaluation information of the project demander.

[0028] It needs to be explained that after project service demanders obtain the recommended list of project service suppliers from the digital platform, they evaluate each project service label of the project service suppliers they have viewed and fill in the evaluation information according to the preset evaluation template. The digital platform updates the evaluation data based on the evaluation information and updates the project service database, thereby making the recommendation index more accurate.

[0029] An intelligent collaborative processing system based on a digital platform, the system includes: a project service module, a matching module, a recommendation module and an update module;

[0030] The project service module includes a feature unit and a storage unit. The feature unit is a digital platform that matches project service information through a preset keyword information library and generates project service tags to construct a project service tag set; based on the name of the project service supplier, the supplier feature tag is added to the project service tag set; the storage unit obtains the evaluation data corresponding to each project service tag in the supplier feature tag to construct a project service database;

[0031] The matching module includes a project demand unit and a matching index unit. In the project demand unit, the digital platform matches the project demand information through a preset keyword information library and generates a project demand tag to construct a project demand set. In the matching index unit, if the intersection set between the supplier feature tag and the project demand set is not an empty set, the project service supplier name in the supplier feature tag is identified and recorded in the supplier matching set to obtain a supply and demand coordination set. Based on the project service database, the matching index of the project service tag in the supply and demand coordination set is calculated.

[0032] The recommendation module includes a recommendation index unit and a recommendation list unit. The recommendation index unit calculates the recommendation index of the project service supplier according to the matching index of each project service tag in the supply and demand collaborative set; the recommendation list unit generates a recommendation list of project service suppliers in descending order of the recommendation index of the project service supplier, and sends the recommendation list of project service suppliers to the project demander;

[0033] In the update module, the project demander evaluates each project service tag in the supply and demand collaboration set corresponding to the project service supplier's recommendation list according to a preset evaluation template, and the digital platform updates the project service database according to the evaluation information of the project demander.

[0034] Further, the project service module includes a feature unit and a storage unit;

[0035] The feature unit, the digital platform matches the project service information through a preset keyword information library, the project service information is filled in by the project service provider through a formatted template, and a project service tag is generated, the project service tag is a keyword used to describe the project service information, and one project service information corresponds to one project service tag, and a project service tag set S = {s n |n∈[1,N]}, where s n represents the nth project service tag, N represents the total number of project service tags in the project service tag set; based on the name of the project service supplier, the project service tag set S is added with a supplier feature tag, which is recorded as S|A, and S|A=S, where A represents the name of the project service supplier;

[0036] The storage unit obtains the evaluation data corresponding to each project service tag in the supplier characteristic tag, wherein the evaluation data includes the number of good reviews and the number of bad reviews; and constructs a project service database, wherein the project service database records the project service supplier data and the evaluation data, wherein the project service supplier data includes the project service supplier name and the supplier characteristic tag.

[0037] Further, the matching module includes a project requirement unit and a matching index unit;

[0038] The project demand unit, the digital platform matches the project demand information according to the preset keyword information library, the project demand information is filled in by the project demand party through the formatted template, and a project demand tag is generated, the project demand tag is a keyword used to describe the project demand information, and one project demand information corresponds to one project demand tag; construct a project demand set H = {h i |i∈[1,I]}, where h i represents the i-th project requirement label in the project requirement set, and I represents the total number of project requirement labels in the project requirement set;

[0039] The matching index unit, if the intersection set between the supplier feature tag and the project requirement set is not an empty set, identifies the project service supplier name in the supplier feature tag and records it in the supplier matching set W={w r |r∈[1,R]}, where w r represents the name of the project service supplier of the r-th supplier characteristic label, and R represents the total number of project service suppliers whose intersection set of the supplier characteristic label and the project demand set is not an empty set;

[0040] Based on the supplier feature label S|w r With the project demand set H, we get the supply and demand coordination set G|w r =(S|w r )∩H={g e |e∈[1,E]}, where g e Indicates the supplier feature label S|w r The e-th project service label of the intersection set with the project demand set H, E represents the supplier feature label S|w r The total number of project service labels in the intersection set with the project requirement set H;

[0041] Based on the project service database, extract the supply and demand coordination set G|w r The evaluation data of each project service label in the calculation of the supply and demand coordination set G|w r The matching index of the service label of the e-th item in Among them, HA e Denotes the supply-demand coordination set G|wr The number of favorable comments corresponding to the e-th item service label in SU e Denotes the supply-demand coordination set G|w r The sum of the number of positive reviews and the number of negative reviews corresponding to the e-th item service label.

[0042] Further, the recommendation module includes a recommendation index unit and a recommendation list unit;

[0043] The recommendation index unit is based on the supply and demand coordination set G|w r The matching index of each project service label in the project service provider w is calculated. r Recommendation index Among them, f(h i ) indicates that the independent variable is the project requirement label h i Piecewise function of ;

[0044] The recommendation list unit generates a project service supplier recommendation list in descending order according to the recommendation index of the project service supplier. The project service supplier recommendation list records the names of the recommended project service suppliers and the labels of each project service in the supply and demand collaborative set, and sends the project service supplier recommendation list to the project demander.

[0045] Furthermore, in the update module, the project demander fills in evaluation information for each project service tag in the supply and demand collaboration center corresponding to the project service supplier's recommendation list according to a preset evaluation template of the digital platform, and the evaluation information includes positive and negative reviews. The digital platform updates the project service database according to the evaluation information of the project demander.

[0046] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the intelligent collaborative processing system and method based on a digital platform provided by the present invention include: constructing a project service tag set, and attaching supplier feature tags to construct a project service database; constructing a project demand set, and if the intersection set between the supplier feature tags and the project demand set is not an empty set, obtaining a supply and demand collaborative set, and calculating the matching index of the project service tags in the supply and demand collaborative set; generating a recommended list of project service suppliers by calculating the recommendation index of the project service supplier, and sending it to the project demander; the project demander evaluates each project service tag in the recommended list of the project service supplier to update the project service database; the present invention accurately identifies recommendable project service suppliers through the supply and demand collaboration of the project service in the supply and demand collaborative set; further calculating the recommendation index of the project service supplier to improve the accuracy of the recommendation of the project service supplier and ensure the quality of collaborative processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0048] Figure 1 It is a structural schematic diagram of an intelligent collaborative processing system based on a digital platform of the present invention;

[0049] Figure 2 It is a schematic diagram of the steps of an intelligent collaborative processing method based on a digital platform of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 , in the first embodiment: an intelligent collaborative processing system based on a digital platform is provided, the system comprising a project service module, a matching module, a recommendation module and an update module;

[0052] The project service module includes a feature unit and a storage unit. The feature unit is a digital platform that matches project service information through a preset keyword information library and generates project service tags to construct a project service tag set; based on the name of the project service supplier, the supplier feature tag is added to the project service tag set; the storage unit obtains the evaluation data corresponding to each project service tag in the supplier feature tag to construct a project service database;

[0053] The matching module includes a project demand unit and a matching index unit. In the project demand unit, the digital platform matches the project demand information through a preset keyword information library and generates project demand tags to construct a project demand set; in the matching index unit, if the intersection set between the supplier feature tag and the project demand set is not an empty set, the name of the project service supplier in the supplier feature tag is identified and recorded in the supplier matching set to obtain a supply and demand coordination set; based on the project service database, the matching index of the project service tag in the supply and demand coordination set is calculated;

[0054] The recommendation module includes a recommendation index unit and a recommendation list unit. The recommendation index unit calculates the recommendation index of the project service supplier according to the matching index of each project service tag in the supply and demand collaborative set; the recommendation list unit generates a recommendation list of project service suppliers in descending order of the recommendation index of the project service supplier, and sends the recommendation list of project service suppliers to the project demander.

[0055] In the update module, the project demander evaluates each project service label in the supply and demand collaboration center corresponding to the project service supplier's recommendation list according to the preset evaluation template, and the digital platform updates the project service database according to the evaluation information of the project demander.

[0056] Specifically, the project service module includes a feature unit and a storage unit;

[0057] Feature unit, the digital platform matches the project service information through the preset keyword information library. The project service information is filled in by the project service supplier through the formatted template and generates a project service tag. The project service tag is a keyword used to describe the project service information, and one project service information corresponds to one project service tag. The project service tag set S = {s n |n∈[1,N]}, where s n represents the nth project service tag, N represents the total number of project service tags in the project service tag set; based on the name of the project service supplier, the project service tag set S is added with a supplier feature tag, which is recorded as S|A, and S|A=S, where A represents the name of the project service supplier;

[0058] The storage unit obtains the evaluation data corresponding to each project service label in the supplier characteristic label, and the evaluation data includes the number of good reviews and the number of bad reviews; constructs a project service database, and the project service database records the project service supplier data and evaluation data, and the project service supplier data includes the project service supplier name and the supplier characteristic label.

[0059] Specifically, the matching module includes a project requirement unit and a matching index unit;

[0060] Project demand unit: The digital platform matches the project demand information according to the preset keyword information library. The project demand information is filled in by the project demander through a formatted template and generates a project demand tag. The project demand tag is a keyword used to describe the project demand information, and one project demand information corresponds to one project demand tag. According to the project demand tag, a project demand set H = {h i |i∈[1,I]}, where h i represents the i-th project requirement label in the project requirement set, and I represents the total number of project requirement labels in the project requirement set;

[0061] The matching index unit, if the intersection set between the supplier feature tag and the project requirement set is not an empty set, identifies the project service supplier name in the supplier feature tag and records it in the supplier matching set W = {w r |r∈[1,R]}, where w rrepresents the name of the project service supplier of the r-th supplier characteristic label, and R represents the total number of project service suppliers whose intersection set of the supplier characteristic label and the project demand set is not an empty set;

[0062] Based on the supplier feature label S|w r With the project demand set H, we get the supply and demand coordination set G|w r =(S|w r )∩H={g e |e∈[1,E]}, where g e Indicates the supplier feature label S|w r The e-th project service label of the intersection set with the project demand set H, E represents the supplier feature label S|w r The total number of project service labels in the intersection set with the project requirement set H;

[0063] Based on the project service database, extract the supply and demand coordination set G|w r The evaluation data of each project service label in the calculation of the supply and demand coordination set G|w r The matching index of the service label of the e-th item in Among them, HA e Denotes the supply-demand coordination set G|w r The number of favorable comments corresponding to the e-th item service label in SU e Denotes the supply-demand coordination set G|w r The sum of the number of positive reviews and the number of negative reviews corresponding to the e-th item service label.

[0064] Specifically, the recommendation module includes a recommendation index unit and a recommendation list unit;

[0065] Recommended index unit, based on the supply and demand coordination set G|w r The matching index of each project service label in the project service provider w is calculated. r Recommendation index Among them, f(h i ) indicates that the independent variable is the project requirement label h i Piecewise function of ;

[0066] The recommendation list unit generates a recommendation list of project service suppliers in descending order according to the recommendation index of the project service suppliers. The recommendation list of project service suppliers records the names of the recommended project service suppliers and the labels of each project service in the supply and demand collaboration center, and sends the recommendation list of project service suppliers to the project demander.

[0067] Specifically, in the update module, the project demander fills in the evaluation information for each project service label in the supply and demand collaboration center corresponding to the project service supplier's recommendation list according to the preset evaluation template of the digital platform. The evaluation information includes positive and negative reviews. The digital platform updates the project service database according to the evaluation information of the project demander.

[0068] See also Figure 2 In the second embodiment, a method for intelligent collaborative processing based on a digital platform is provided, the method comprising the following steps:

[0069] Step S100: The digital platform matches the project service information through a preset keyword information library and generates a project service tag to construct a project service tag set; based on the name of the project service supplier, the supplier characteristic tag is added to the project service tag set; and the evaluation data corresponding to each project service tag in the supplier characteristic tag is obtained to construct a project service database;

[0070] Step S200: The digital platform matches the project demand information through a preset keyword information library and generates a project demand tag to construct a project demand set; if the intersection set between the supplier feature tag and the project demand set is not an empty set, the project service supplier name in the supplier feature tag is identified and recorded in the supplier matching set to obtain a supply and demand coordination set; based on the project service database, the matching index of the project service tag in the supply and demand coordination set is calculated;

[0071] Step S300: Calculate the recommendation index of the project service supplier according to the matching index of each project service tag in the supply and demand collaborative set, generate a recommended list of project service suppliers in descending order of the recommendation index of the project service supplier, and send the recommended list of project service suppliers to the project demander;

[0072] Step S400: The project demander evaluates each project service tag in the supply and demand collaboration set corresponding to the project service supplier's recommendation list according to a preset evaluation template, and the digital platform updates the project service database according to the project demander's evaluation information.

[0073] Preferably, the specific implementation process of step S100 includes:

[0074] Step S101: The digital platform matches the project service information through a preset keyword information library. The project service information is filled in by the project service provider through a formatted template, and a project service tag is generated. The project service tag is a keyword used to describe the project service information, and one project service information corresponds to one project service tag. A project service tag set S = {s n |n∈[1,N]}, where s nrepresents the nth project service label, and N represents the total number of project service labels in the project service label set;

[0075] Step S102: Based on the name of the project service supplier, add a supplier feature label to the project service label set S, denoted as S|A, and S|A=S, where A represents the name of the project service supplier; obtain the evaluation data corresponding to each project service label in the supplier feature label, the evaluation data includes the number of positive reviews and the number of negative reviews; build a project service database, the project service database records the project service supplier data and evaluation data, the project service supplier data includes the project service supplier name and the supplier feature label.

[0076] Preferably, the specific implementation process of step S200 includes:

[0077] Step S201: The digital platform matches the project demand information according to the preset keyword information library. The project demand information is filled in by the project demander through a formatted template, and a project demand tag is generated. The project demand tag is a keyword used to describe the project demand information, and one project demand information corresponds to one project demand tag; a project demand set H = {h i |i∈[1,I]}, where h i represents the i-th project requirement label in the project requirement set, and I represents the total number of project requirement labels in the project requirement set;

[0078] Step S202: If the intersection set between the supplier feature tag and the project requirement set is not an empty set, identify the project service supplier name in the supplier feature tag and record it in the supplier matching set W = {w r |r∈[1,R]}, where w r represents the name of the project service supplier of the r-th supplier characteristic label, and R represents the total number of project service suppliers whose intersection set of the supplier characteristic label and the project demand set is not an empty set;

[0079] Based on the supplier feature label S|w r With the project demand set H, we get the supply and demand coordination set G|w r =(S|w r )∩H={g e |e∈[1,E]}, where g e Indicates the supplier feature label S|w r The e-th project service label of the intersection set with the project demand set H, E represents the supplier feature label S|w r The total number of project service labels in the intersection set with the project requirement set H;

[0080] Based on the project service database, extract the supply and demand coordination set G|w rThe evaluation data of each project service label in the calculation of the supply and demand coordination set G|w r The matching index of the service label of the e-th item in Among them, HA e Denotes the supply-demand coordination set G|w r The number of favorable comments corresponding to the e-th item service label in SU e Denotes the supply-demand coordination set G|w r The sum of the number of positive reviews and the number of negative reviews corresponding to the e-th item service label.

[0081] Preferably, the specific implementation process of step S300 includes:

[0082] Step S301: Based on the supply and demand coordination set G|w r The matching index of each project service label in the project service provider w is calculated. r Recommendation index Among them, f(h i ) indicates that the independent variable is the project requirement label h i Piecewise function of ;

[0083] Step S302: Generate a project service supplier recommendation list in descending order of the recommendation index of the project service supplier, the project service supplier recommendation list records the recommended project service supplier name and each project service tag in the supply and demand collaboration center, and sends the project service supplier recommendation list to the project demander.

[0084] Preferably, the specific implementation process of step S400 includes:

[0085] The project demander fills in the evaluation information for each project service label in the supply and demand collaboration center corresponding to the project service supplier's recommendation list based on the preset evaluation template of the digital platform. The evaluation information includes positive and negative reviews. The digital platform updates the project service database based on the evaluation information of the project demander.

[0086] For example: after matching the generated project demand tags with the keyword information library preset by the digital platform, construct the project demand set H = {8, 5, 4, 3}; the supplier matching set W = {w1, w2, w3}, among which the supply and demand coordination set G(w1) = {8, 5} of w1, the supply and demand coordination set G(w2) = {5, 4, 3} of w2, and the supply and demand coordination set G(w3) = {5, 3} of w3, extract the evaluation data of the project service tags in the project service tag set of the project service supplier w1, and calculate the matching index of each project service tag in the project service tag set of the project service supplier w1.

[0087] Extract the evaluation data of the project service tags in the project service tag set of the project service supplier w2, and calculate the matching index of each project service tag in the project service tag set of the project service supplier w2

[0088] Extract the evaluation data of the project service tags in the project service tag set of the project service provider w3, and calculate the matching index of each project service tag in the project service tag set of the project service provider w3

[0089] Recommendation index of project service provider w1

[0090] Recommendation index of project service provider w2

[0091] Recommendation index of project service provider w3

[0092] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0093] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent collaborative processing method based on a digital platform, characterized in that: The method comprises the following steps: Step S100: The digital platform matches the project service information through a preset keyword information library and generates a project service tag to construct a project service tag set; based on the name of the project service supplier, the supplier characteristic tag is added to the project service tag set; and the evaluation data corresponding to each project service tag in the supplier characteristic tag is obtained to construct a project service database; Step S200: The digital platform matches the project demand information through a preset keyword information library and generates a project demand tag to construct a project demand set; if the intersection set between the supplier feature tag and the project demand set is not an empty set, the project service supplier name in the supplier feature tag is identified and recorded in the supplier matching set to obtain a supply and demand coordination set; based on the project service database, the matching index of the project service tag in the supply and demand coordination set is calculated; Step S300: Calculate the recommendation index of the project service supplier according to the matching index of each project service tag in the supply and demand collaborative set, generate a recommended list of project service suppliers in descending order of the recommendation index of the project service supplier, and send the recommended list of project service suppliers to the project demander; Step S400: The project demander evaluates each project service tag in the supply and demand collaboration set corresponding to the project service supplier's recommendation list according to a preset evaluation template, and the digital platform updates the project service database according to the project demander's evaluation information.

2. The intelligent collaborative processing method based on a digital platform according to claim 1, characterized in that: The specific implementation process of step S100 includes: Step S101: The digital platform matches the project service information through a preset keyword information library. The project service information is filled in by the project service provider through a formatted template, and a project service tag is generated. The project service tag is a keyword used to describe the project service information, and one project service information corresponds to one project service tag. A project service tag set S = {s n |n∈[1,N]}, where s n represents the nth project service label, and N represents the total number of project service labels in the project service label set; Step S102: Based on the name of the project service supplier, add a supplier feature label to the project service label set S, denoted as S|A, and S|A=S, where A represents the name of the project service supplier; obtain evaluation data corresponding to each project service label in the supplier feature label, the evaluation data including the number of positive reviews and the number of negative reviews; construct a project service database, the project service database records the project service supplier data and evaluation data, the project service supplier data including the project service supplier name and the supplier feature label.

3. The intelligent collaborative processing method based on a digital platform according to claim 2, characterized in that: The specific implementation process of step S200 includes: Step S201: The digital platform matches the project demand information according to the preset keyword information library. The project demand information is filled in by the project demander through a formatted template, and a project demand tag is generated. The project demand tag is a keyword used to describe the project demand information, and one project demand information corresponds to one project demand tag; a project demand set H = {h i |i∈[1,I]}, where h i represents the i-th project requirement label in the project requirement set, and I represents the total number of project requirement labels in the project requirement set; Step S202: If the intersection set between the supplier feature tag and the project requirement set is not an empty set, identify the project service supplier name in the supplier feature tag and record it in the supplier matching set W = {w r |r∈[1,R]}, where w r represents the name of the project service supplier of the r-th supplier characteristic label, and R represents the total number of project service suppliers whose intersection set of the supplier characteristic label and the project demand set is not an empty set; Based on the supplier feature label S|w r With the project demand set H, we get the supply and demand coordination set G|w r =(S|w r )∩H={g e |e∈[1,E]}, where g e Indicates the supplier feature label S|w r The e-th project service label of the intersection set with the project demand set H, E represents the supplier feature label S|w r The total number of project service labels in the intersection set with the project requirement set H; Based on the project service database, extract the supply and demand coordination set G|w r The evaluation data of each project service label in the calculation of the supply and demand coordination set G|w r The matching index of the service label of the e-th item in Among them, HA e Denotes the supply-demand coordination set G|w r The number of favorable comments corresponding to the e-th item service label in SU e Denotes the supply-demand coordination set G|w r The sum of the number of positive reviews and the number of negative reviews corresponding to the e-th item service label.

4. The intelligent collaborative processing method based on a digital platform according to claim 3, characterized in that: The specific implementation process of step S300 includes: Step S301: Based on the supply and demand coordination set G|w r The matching index of each project service label in the project service provider w is calculated. r Recommendation index Among them, f(h i ) indicates that the independent variable is the project requirement label h i Piecewise function of ; Step S302: Generate a project service supplier recommendation list in descending order of the recommendation index of the project service supplier, wherein the project service supplier recommendation list records the names of the recommended project service suppliers and the project service tags of each project in the supply and demand collaboration center, and sends the project service supplier recommendation list to the project demander.

5. The intelligent collaborative processing method based on a digital platform according to claim 4, characterized in that: The specific implementation process of step S400 includes: The project demander fills in the evaluation information for each project service tag in the supply and demand collaboration center corresponding to the project service supplier's recommendation list according to the preset evaluation template of the digital platform. The evaluation information includes positive and negative reviews. The digital platform updates the project service database according to the evaluation information of the project demander.

6. An intelligent collaborative processing system based on a digital platform, characterized in that: The system includes: a project service module, a matching module, a recommendation module and an update module; The project service module includes a feature unit and a storage unit. The feature unit is a digital platform that matches project service information through a preset keyword information library and generates project service tags to construct a project service tag set; based on the name of the project service supplier, the supplier feature tag is added to the project service tag set; the storage unit obtains the evaluation data corresponding to each project service tag in the supplier feature tag to construct a project service database; The matching module includes a project demand unit and a matching index unit. In the project demand unit, the digital platform matches the project demand information through a preset keyword information library and generates a project demand tag to construct a project demand set. In the matching index unit, if the intersection set between the supplier feature tag and the project demand set is not an empty set, the project service supplier name in the supplier feature tag is identified and recorded in the supplier matching set to obtain a supply and demand coordination set. Based on the project service database, the matching index of the project service tag in the supply and demand coordination set is calculated. The recommendation module includes a recommendation index unit and a recommendation list unit. The recommendation index unit calculates the recommendation index of the project service supplier according to the matching index of each project service tag in the supply and demand collaborative set; the recommendation list unit generates a recommendation list of project service suppliers in descending order of the recommendation index of the project service supplier, and sends the recommendation list of project service suppliers to the project demander; In the update module, the project demander evaluates each project service tag in the supply and demand collaboration set corresponding to the project service supplier's recommendation list according to a preset evaluation template, and the digital platform updates the project service database according to the evaluation information of the project demander.

7. The intelligent collaborative processing system based on a digital platform according to claim 6, characterized in that: The project service module includes a feature unit and a storage unit; The feature unit, the digital platform matches the project service information through a preset keyword information library, the project service information is filled in by the project service provider through a formatted template, and a project service tag is generated, the project service tag is a keyword used to describe the project service information, and one project service information corresponds to one project service tag, and a project service tag set S = {s n |n∈[1,N]}, where s n represents the nth project service tag, N represents the total number of project service tags in the project service tag set; based on the name of the project service supplier, the project service tag set S is added with a supplier feature tag, which is recorded as S|A, and S|A=S, where A represents the name of the project service supplier; The storage unit obtains the evaluation data corresponding to each project service tag in the supplier characteristic tag, wherein the evaluation data includes the number of good reviews and the number of bad reviews; and constructs a project service database, wherein the project service database records the project service supplier data and the evaluation data, wherein the project service supplier data includes the project service supplier name and the supplier characteristic tag.

8. The intelligent collaborative processing system based on a digital platform according to claim 7, characterized in that: The matching module includes a project requirement unit and a matching index unit; The project demand unit, the digital platform matches the project demand information according to the preset keyword information library, the project demand information is filled in by the project demand party through the formatted template, and a project demand tag is generated, the project demand tag is a keyword used to describe the project demand information, and one project demand information corresponds to one project demand tag; construct a project demand set H = {h i |i∈[1,I]}, where h i represents the i-th project requirement label in the project requirement set, and I represents the total number of project requirement labels in the project requirement set; The matching index unit, if the intersection set between the supplier feature tag and the project requirement set is not an empty set, identifies the project service supplier name in the supplier feature tag and records it in the supplier matching set W={w r |r∈[1,R]}, where w r represents the name of the project service supplier of the r-th supplier characteristic label, and R represents the total number of project service suppliers whose intersection set of the supplier characteristic label and the project demand set is not an empty set; Based on the supplier feature label S|w r With the project demand set H, we get the supply and demand coordination set G|w r =(S|w r )∩H={g e |e∈[1,E]}, where g e Indicates the supplier feature label S|w r The e-th project service label of the intersection set with the project demand set H, E represents the supplier feature label S|w r The total number of project service labels in the intersection set with the project requirement set H; Based on the project service database, extract the supply and demand coordination set G|w r The evaluation data of each project service label in the calculation of the supply and demand coordination set G|w r The matching index of the service label of the e-th item in Among them, HA e Denotes the supply-demand coordination set G|w r The number of favorable comments corresponding to the e-th item service label in SU e Denotes the supply-demand coordination set G|w r The sum of the number of positive reviews and the number of negative reviews corresponding to the e-th item service label.

9. The intelligent collaborative processing system based on a digital platform according to claim 8, characterized in that: The recommendation module includes a recommendation index unit and a recommendation list unit; The recommendation index unit is based on the supply and demand coordination set G|w r The matching index of each project service label in the project service provider w is calculated. r Recommendation index Among them, f(h i ) indicates that the independent variable is the project requirement label h i Piecewise function of ; The recommendation list unit generates a project service supplier recommendation list in descending order according to the recommendation index of the project service supplier. The project service supplier recommendation list records the names of the recommended project service suppliers and the labels of each project service in the supply and demand collaborative set, and sends the project service supplier recommendation list to the project demander.

10. The intelligent collaborative processing system based on a digital platform according to claim 9, characterized in that: In the update module, the project demander fills in the evaluation information for each project service tag in the supply and demand collaboration center corresponding to the project service supplier's recommendation list according to the preset evaluation template of the digital platform. The evaluation information includes positive and negative reviews. The digital platform updates the project service database according to the evaluation information of the project demander.

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