Method for matching achievement transformation information based on artificial intelligence

Abstract

The invention discloses an achievement transformation information matching method based on artificial intelligence, and the method comprises the steps: obtaining the demand information of a demand side in response to a response request of the demand side; acquiring a technical demand set and an intellectual property demand set based on the technical demand and the intellectual property demand respectively; matching in a supply database based on the technical demand set of the demand side, and obtaining a plurality of target suppliers, the technical matching degree of each target supplier and an intellectual property supply set; based on the intellectual property demand set of the demand side and the intellectual property supply set of each target supplier, acquiring the intellectual property matching degree of the demand side and each target supplier; and displaying each target supplier according to a preset sorting rule based on the technology matching degree and the intellectual property matching degree between the demand side and each target supplier. The technical problem of low matching efficiency and accuracy between the demand side and the resource side in the achievement transformation process in the prior art is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of scientific and technological achievement transformation, in particular to an achievement transformation information matching method based on artificial intelligence. BACKGROUND

[0002] Achievement transformation refers to the complex process of advancing scientific research achievements from the laboratory or theoretical stage to practical application, usually involving the development and deployment of new technologies, new products, new processes or new services. After achievement transformation, not only can the theoretical achievements obtain economic value through commercialization, but also can contribute to the progress of technology to produce a more profound impact.

[0003] In the process of transforming existing scientific research achievements into practical applications, the matching efficiency and accuracy between the demand side and the resource side are low, which depends on the search ability of the demand side for target technology achievements or the search ability of the resource side for target customers.

[0004] Therefore, it is a technical problem to be solved urgently that the matching efficiency and accuracy between the demand side and the resource side are low in the process of achievement transformation. SUMMARY

[0005] The present application provides an achievement transformation information matching method and system based on artificial intelligence, which solves the technical problem of low matching efficiency and accuracy between the demand side and the resource side in the process of achievement transformation in the prior art.

[0006] The present application provides an achievement transformation information matching method based on artificial intelligence, which comprises:

[0007] In response to the demand side response request, the demand information of the demand side is obtained; the demand information includes technical demand and intellectual property demand;

[0008] Based on the technical demand and the intellectual property demand respectively, a technical demand set and an intellectual property demand set are obtained;

[0009] Based on the technical demand set of the demand side, matching is performed in the supply database to obtain a plurality of target supply sides, the technical matching degree of each target supply side, and an intellectual property supply set;

[0010] Based on the intellectual property demand set of the demand side and the intellectual property supply set of each target supply side, the intellectual property matching degree between the demand side and each target supply side is obtained;

[0011] Based on the technical matching degree and the intellectual property matching degree between the demand side and each target supply side, each target supply side is displayed according to a preset sorting rule.

[0012] Further, based on the technical demand and the intellectual property demand respectively, the technical demand set and the intellectual property demand set are obtained, which comprises:

[0013] extracting technical demand features from the technical demands, obtaining a plurality of technical demand features and feature demand data corresponding to each technical demand feature;

[0014] performing standardization processing on the feature demand data corresponding to the technical demand features, obtaining feature demand ranges corresponding to the technical demand features;

[0015] obtaining a technical demand set based on the feature demand ranges corresponding to the technical demand features;

[0016] extracting intellectual property demand features from the intellectual property demands, obtaining a plurality of intellectual property demand features and feature demand data corresponding to each intellectual property demand feature;

[0017] performing standardization processing on the feature demand data corresponding to the intellectual property demand features, obtaining feature demand ranges corresponding to the intellectual property demand features;

[0018] obtaining an intellectual property demand set based on the feature demand ranges corresponding to the intellectual property demand features.

[0019] Further, based on the technical demand set of the demand side, matching is performed in the supply database to obtain a plurality of target suppliers, a technical matching degree of each target supplier, and an intellectual property supply set, including:

[0020] dividing a plurality of technical demand features in the technical demand set into a plurality of screening features and a plurality of matching degree calculation features;

[0021] performing screening in the supply database based on the plurality of screening features and the feature demand data corresponding to each screening feature, obtaining a plurality of candidate suppliers and a technical supply set and an intellectual property supply set of each candidate supplier;

[0022] obtaining a technical matching degree of the candidate supplier based on the plurality of matching degree calculation features of the demand side and the technical supply set of the candidate supplier;

[0023] confirming a plurality of target suppliers and obtaining an intellectual property supply set of each target supplier based on the technical matching degree of each candidate supplier.

[0024] Further, based on the plurality of screening features and the feature demand data corresponding to each screening feature, screening is performed in the supply database to obtain a plurality of candidate suppliers and a technical supply set and an intellectual property supply set of each candidate supplier, including:

[0025] According to the feature demand data of the plurality of screening features, screening is performed in the supply database one by one according to the screening order, and the number of remaining suppliers is obtained after each screening;

[0026] stopping the screening when the number of the remaining suppliers meets the preset number requirement, taking all the remaining suppliers as candidate suppliers, and obtaining an intellectual property supply set of each candidate supplier;

[0027] determining whether there is a remaining screening feature; if yes, taking the remaining screening feature as a matching degree calculation feature.

[0028] Further, based on the matching degree calculation features of the demand side and the technical supply set of the candidate supplier, a technical matching degree of the candidate supplier is obtained, including:

[0029] based on the matching degree calculation features of the demand side, technical feature weight data is obtained;

[0030] based on the matching degree calculation features of the demand side, corresponding matching degree calculation features are obtained in the technical supply set of the candidate supplier, and a feature matching value is calculated;

[0031] based on the technical feature weight data and the feature matching value corresponding to each matching degree calculation feature, a technical matching degree of the candidate supplier is obtained.

[0032] Further, the intellectual property demand set includes a plurality of property demand features; the intellectual property supply set includes a plurality of property supply features; based on the intellectual property demand set of the demand side and the intellectual property supply set of each target supplier, an intellectual property matching degree between the demand side and each target supplier is obtained, including:

[0033] based on the plurality of property demand features, property feature weight data is confirmed;

[0034] based on the property demand features of the intellectual property demand set, corresponding property supply features are obtained in the intellectual property supply set, and a feature matching value corresponding to the property demand feature is calculated;

[0035] based on the property feature weight data and the feature matching value corresponding to each property demand feature, the intellectual property matching degree between the demand side and the target supplier is confirmed.

[0036] Further, based on the technical matching degree and the intellectual property matching degree between the demand side and each target supplier, each target supplier is displayed according to a preset sorting rule, including:

[0037] based on the technical matching degree and the intellectual property matching degree between the target supplier and the demand side, a first sorting priority value of the target supplier is obtained;

[0038] based on the first sorting priority value of each target supplier, a first display order of each target supplier is obtained;

[0039] obtaining a second display order of the target suppliers under each preset constraint condition based on the first display order of the target suppliers and the preset constraint conditions of the target suppliers;

[0040] displaying the supply information of the target suppliers according to the first display order of the target suppliers or the second display order of the target suppliers under each preset constraint condition.

[0041] Further, in response to the demand side response request, obtaining the demand information of the demand side, including:

[0042] obtaining a standard question template; the standard question template includes a plurality of technical demand standard questions and a plurality of intellectual property demand standard questions;

[0043] asking the demand side based on the standard question template to obtain the answer information of the demand side to each technical demand standard question and each intellectual property demand standard question in the standard question template;

[0044] obtaining the technical demand and the intellectual property demand based on the answer information of the demand side to each technical demand standard question and each intellectual property demand standard question in the standard question template.

[0045] Further, asking the demand side based on the standard question template to obtain the answer information of the demand side to each technical demand standard question and each intellectual property demand standard question in the standard question template, including:

[0046] obtaining a standard answer sentence pattern of each technical demand standard question or intellectual property demand standard question;

[0047] asking the demand side based on the technical demand standard question or the intellectual property demand standard question to obtain the natural language information of the demand side;

[0048] based on the standard answer sentence pattern corresponding to the technical demand standard question or the intellectual property demand standard question

[0049] extracting key information from the natural language information to obtain the answer information of the demand side.

[0050] Further, the standard answer sentence pattern includes a plurality of to-be-answered factors; asking the demand side based on the standard question template to obtain the answer information of the demand side to each technical demand standard question and each intellectual property demand standard question in the standard question template, further including:

[0051] after each time asking the demand side based on the technical demand standard question or the intellectual property demand standard question and extracting key information from the natural language information of the demand side, judging whether there is an unanswered factor in the standard answer sentence pattern corresponding to the technical demand standard question or the intellectual property demand standard question;

[0052] If not, the user is asked based on the unanswerable factors to generate a supplementary question.

[0053] Compared with the prior art, the present application has the following advantages:

[0054] In the present application, the demand information of the demand party is acquired to further confirm the technology demand set and the intellectual property demand set, so as to quickly match the target supply party in the supply database center through the technology demand set, improve the matching efficiency and the accuracy of technology matching, match the target supply party's intellectual property supply set with the intellectual property demand set, acquire the intellectual property matching degree of the demand party and each target supply party, and further improve the accuracy of achievement transformation. According to the technology matching degree and the intellectual property matching degree between the demand party and each target supply party, each target supply party is displayed according to a preset sorting rule, so that the demand party can quickly acquire the actual matching situation of each target supply party. The technical problem of low matching efficiency and accuracy between the demand party and the resource party in the achievement transformation process in the prior art is solved. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 The method steps of the achievement transformation information matching method based on artificial intelligence are shown in the present application. DETAILED DESCRIPTION

[0056] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme of the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0057] As shown in the figure, the achievement transformation information matching method based on artificial intelligence comprises: Figure 1

[0058] S1: In response to a demand party response request, demand information of the demand party is acquired; the demand information comprises technology demand and intellectual property demand;

[0059] In the present embodiment, the technology demand represents the demand party's demand for the technology level in the achievement transformation process; for example, the technical field, the technical point and its application mode, the strength of the material, etc. The intellectual property demand represents the demand party's demand for the intellectual property level in the achievement transformation process; for example, the soft certificate, the patent right, the license mode and the license fee, etc.

[0060] S2: Based on the technology demand and the intellectual property demand respectively, a technology demand set and an intellectual property demand set are acquired; ​

[0061] In this embodiment, the technical demand set is obtained by analyzing the technical demand, and the intellectual property demand set is obtained by analyzing the intellectual property demand. The analysis method includes semantic expansion and unified dimension. The supply parties are matched and screened through the technical demand set, so that the matching efficiency and accuracy of the technical level are improved.

[0062] The supply parties are matched and screened through the intellectual property demand set, so that the matching efficiency and accuracy of the intellectual property level are improved.

[0063] S3: Based on the technical demand set of the demand party, matching is performed in the supply database to obtain a plurality of target supply parties, a technical matching degree of each target supply party, and an intellectual property supply set of each target supply party;

[0064] In this embodiment, the supply database includes the technical supply set and the intellectual property supply set of a plurality of supply parties. The target supply parties are screened through the technical matching degree between the technical demand set and the technical supply set of each supply party in the supply database. Furthermore, the intellectual property supply set of each target supply party is obtained.

[0065] S4: Based on the intellectual property demand set of the demand party and the intellectual property supply set of each target supply party, the intellectual property matching degree between the demand party and each target supply party is obtained.

[0066] In this embodiment, on the basis of calculating the technical matching degree between the demand party and the target supply party, the intellectual property matching degree between the demand party and the target supply party is further calculated, so that the matching result is more accurate.

[0067] S5: Based on the technical matching degree and the intellectual property matching degree between the demand party and each target supply party, each target supply party is displayed according to a preset sorting rule.

[0068] In this embodiment, the preset sorting rule includes only sorting according to the technical matching degree, or comprehensively sorting in combination with the technical matching degree and the intellectual property matching degree.

[0069] The specific implementation process of this embodiment includes:

[0070] In this embodiment, the technical demand set and the intellectual property demand set are further confirmed by obtaining the demand information of the demand party. So that the target supply party is obtained by the technical demand set in the supply database center for rapid matching, and the matching efficiency and the accuracy of technical matching are improved. The intellectual property matching degree between the demand party and each target supply party is obtained by matching the intellectual property supply set of the target supply party with the intellectual property demand set, and the accuracy of the achievement transformation is further improved. According to the technical matching degree and the intellectual property matching degree between the demand party and each target supply party, each target supply party is displayed according to a preset sorting rule. The actual matching situation between the demand party and each target supply party is obtained quickly. The technical problem of low matching efficiency and accuracy between the demand party and the resource party in the achievement transformation process in the prior art is solved.

[0071] In this embodiment, the technical demand set and the intellectual property demand set are obtained based on the technical demand and the intellectual property demand respectively, including:

[0072] S21: technical demand feature extraction is performed on the technical demand to obtain a plurality of technical demand features and feature demand data corresponding to each technical demand feature;

[0073] In this embodiment, the technical demand feature extraction includes extracting technical keywords and demands corresponding to the technical keywords. For example, the proportion requirement of a component in the chemical industry; or the voltage range requirement of the output voltage of a device in the power industry. The output voltage is a technical demand feature; and the voltage range is the corresponding feature demand data.

[0074] In this embodiment, the technical demand is extracted by the pre-constructed knowledge graph.

[0075] S22: standardization processing is performed on the feature demand data corresponding to the technical demand feature to obtain the feature demand range corresponding to the technical demand feature;

[0076] In this embodiment, the standardization processing includes unifying the dimension and the expression method. For the same technical demand feature, the expression methods of different demand parties will have certain differences; and the standardization processing can be compared.

[0077] S23: the technical demand set is obtained based on the feature demand range corresponding to each technical demand feature;

[0078] In this embodiment, the technical demand set is represented as follows:

[0079] {[A1, F1], [A2, F2], …, [An, Fn]};

[0080] Wherein, An represents the nth technical demand feature; and Fn represents the feature demand range corresponding to the nth technical demand feature.

[0081] S24: Extract intellectual property demand features from intellectual property demand, and obtain several intellectual property demand features and the feature demand data corresponding to each intellectual property demand feature.

[0082] S25: Standardize the feature requirement data corresponding to the intellectual property demand characteristics to obtain the feature requirement range corresponding to the intellectual property demand characteristics.

[0083] S26: Obtain the set of intellectual property requirements based on the characteristic requirement range corresponding to each intellectual property requirement feature.

[0084] In this embodiment, the intellectual property demand set is represented as follows:

[0085] {[B1, f1], [B2, f2],…, [Bn, fn]};

[0086] Wherein, Bn represents the nth intellectual property demand feature; fn represents the feature demand range corresponding to the nth intellectual property demand feature.

[0087] In this embodiment, the technical requirements set of the demand side is matched in the supply database to obtain several target suppliers, the technical matching degree of each target supplier, and the intellectual property supply set, including:

[0088] S31: Divide several technical requirement features in the technical requirement set into several screening features and several matching degree calculation features;

[0089] In this embodiment, the technical requirement features are pre-classified into two types: screening features and matching degree calculation features. The classification is based on selecting several technical requirement features with the smallest feature requirement range as screening features. For example, the feature requirement range of a technical field is generally relatively small and is usually used as a screening feature.

[0090] S32: Based on several screening features and the feature demand data corresponding to each screening feature, the supply database is screened to obtain several candidate suppliers and the technology supply set and intellectual property supply set of each candidate supplier;

[0091] By setting filtering features, suppliers in the supply database can be quickly filtered without calculating the matching degree, and suppliers with high technical matching degree can be retained to the greatest extent.

[0092] S33: Based on several matching degree calculation features of the demand side and the technology supply set of the candidate suppliers, obtain the technology matching degree of the candidate suppliers;

[0093] In this embodiment, the technology supply set of the candidate suppliers includes several technology supply characteristics; these several technology supply characteristics are used to correspond with the technology demand characteristics in order to calculate the technology matching degree.

[0094] S34: Based on the technical matching degree of each candidate supplier, identify several target suppliers and obtain the intellectual property supply set of each target supplier.

[0095] In this embodiment, the higher the technical matching degree, the greater the likelihood of being selected as a target supplier. The top-ranked candidate suppliers are prioritized as target suppliers.

[0096] In this embodiment, the supply database is filtered based on several screening features and the feature requirement data corresponding to each screening feature to obtain several candidate suppliers and a technology supply set and intellectual property supply set for each candidate supplier, including:

[0097] S321: According to the preset screening order, filter the supply database one by one based on the feature demand data of several screening features, and obtain the remaining number of suppliers after each screening.

[0098] In this embodiment, the preset screening order includes screening one by one in order of increasing feature requirement range;

[0099] S322: When the number of remaining suppliers meets the preset quantity requirement, stop the screening, treat all remaining suppliers as candidate suppliers, and obtain the intellectual property supply set of each candidate supplier;

[0100] In this embodiment, the preset quantity requirement includes no less than 30 and no more than 50.

[0101] S323: Determine if there are any remaining filtering features; if so, use the remaining filtering features as features for matching degree calculation.

[0102] In this embodiment, when the screening stops when the number of remaining suppliers meets the preset requirement, it is determined whether there are still remaining screening features. If so, the remaining screening features are used as matching feature calculation features for calculating the technical matching degree. If not, the process proceeds directly to the next stage.

[0103] In this embodiment, the technology matching degree of the candidate suppliers is obtained based on several matching degree calculation features of the demand side and the technology supply set of the candidate suppliers, including:

[0104] S331: Calculate features based on several matching degrees of the demand side and obtain technical feature weight data;

[0105] In this embodiment, feature combinations are calculated based on various matching degrees of the demand side, and corresponding technical feature weight data is preset; the demand side can also dynamically adjust the technical feature weight data according to actual needs.

[0106] S332: Based on the matching degree calculation characteristics of the demand side, obtain the corresponding matching degree calculation characteristics from the technology supply set of the candidate suppliers and calculate the feature matching value;

[0107] In this embodiment, the formula for calculating the feature matching value of the matching degree calculation feature includes:

[0108] ;

[0109] Where P is the feature matching value of the matching degree calculation feature, 0≤P≤1, the larger P is, the more matched the matching degree calculation feature is; M is the feature demand range of the matching degree calculation feature of the demand side; N is the feature supply range of the matching degree calculation feature of the candidate supplier side.

[0110] S333: Calculate the feature matching value corresponding to each feature based on the technical feature weight data and the matching degree of each feature, and obtain the technical matching degree of the candidate supplier.

[0111] In this embodiment, the formula for calculating the technical matching degree is as follows:

[0112] ;

[0113] Where JD represents the technical matching degree; P i Calculate the feature matching value corresponding to the feature for the i-th matching degree; α i Calculate the weight data corresponding to the feature for the i-th matching degree.

[0114] In this embodiment, the intellectual property demand set includes several intellectual property demand characteristics; the intellectual property supply set includes several intellectual property supply characteristics; based on the intellectual property demand set of the demand party and the intellectual property supply set of each target supplier, the intellectual property matching degree between the demand party and each target supplier is obtained, including:

[0115] S41: Based on several property rights demand characteristics, confirm the weight data of property rights characteristics;

[0116] In this embodiment, corresponding property rights feature weight data is set based on the property rights demand characteristics, and the demander can adjust the weight of each property rights demand characteristic according to their individual needs.

[0117] S42: Based on the property rights demand characteristics of the intellectual property rights demand set, obtain the corresponding property rights supply characteristics from the intellectual property rights supply set and calculate the feature matching value corresponding to the property rights demand characteristics;

[0118] In this embodiment, the formula for calculating the feature matching value corresponding to the property rights demand feature is as follows:

[0119] ;

[0120] Where Q is the feature matching value of the property rights demand feature, 0≤Q≤1, the larger Q is, the better the property rights demand feature matches; X is the feature demand range of the property rights demand feature of the demand side; Y is the feature supply range of the property rights supply feature of the candidate supplier.

[0121] S43: Based on the weighted data of property rights characteristics and the feature matching values ​​corresponding to the demand characteristics of each property rights, confirm the degree of intellectual property rights matching between the demand side and the target supplier.

[0122] In this embodiment, the formula for calculating the intellectual property matching degree is as follows:

[0123] ;

[0124] Where ZD represents the intellectual property matching degree; Q i β is the feature matching value corresponding to the i-th property rights demand feature; i The weight data corresponding to the i-th property rights demand feature.

[0125] In this embodiment, based on the technical and intellectual property matching degree between the demand side and each target supplier, each target supplier is displayed according to a preset sorting rule, including:

[0126] S51: Based on the degree of technical and intellectual property matching between the target supplier and the demander, obtain the first priority value of the target supplier;

[0127] In this embodiment, corresponding weight parameters are set for the technology matching degree and the intellectual property matching degree, and then the first ranking priority value of each target supplier is calculated.

[0128] S52: Based on the first ranking priority value of each target supplier, obtain the first display order of each target supplier;

[0129] In this embodiment, the first display order of each target supplier is determined according to the first sorting priority value from high to low.

[0130] S53: Based on the first display order of each target supplier and several preset constraints of each target supplier, obtain the second display order of several target suppliers under each preset constraint;

[0131] In this embodiment, the preset constraints include geographical constraints, cost constraints, etc. The order in which each target supplier is ranked from highest to lowest priority under various constraints is used as the corresponding second display order.

[0132] S54: Display the supply information of each target supplier in the first display order or the second display order under each preset constraint condition.

[0133] In this embodiment, responding to the request from the demander and obtaining the demand information from the demander includes:

[0134] S11: Obtain standard question templates; the standard question templates include several standard questions for technical requirements and several standard questions for intellectual property requirements;

[0135] In this embodiment, the standard question template is obtained through big data and expert experience, which can quickly guide the requester to confirm technical and intellectual property requirements.

[0136] S12: Ask questions to the requester based on the standard question template and obtain the requester's answers to the standard questions for each technical requirement and each intellectual property requirement in the standard question template;

[0137] In this embodiment, standard question templates are used to ask questions to the requester by combining the existing LLM large model, and the user's answer information is obtained.

[0138] S13: Based on the demander's answers to the standard questions on each technical requirement and each standard question on each intellectual property requirement in the standard question template, obtain the technical requirements and intellectual property requirements.

[0139] In this embodiment, questions are posed to the requester based on a standard question template, and the requester's responses to the standard questions regarding various technical and intellectual property requirements are obtained, including:

[0140] Obtain the standard answer format for each technical requirement standard question or intellectual property requirement standard question;

[0141] Questions are posed to the requester based on standard questions about technical or intellectual property needs, and natural language information is obtained from the requester's response.

[0142] Standard answer formats for standard questions based on technology needs or intellectual property needs.

[0143] Extract key information from natural language data to obtain responses from the requester.

[0144] In this embodiment, the standard answer sentence includes several unanswered factors; after each questioning of the demand party based on the standard question of technical requirements or the standard question of intellectual property requirements and extraction of key information from the demand party's natural language information, it is determined whether there are unanswered factors in the standard answer sentence corresponding to the standard question of technical requirements or the standard question of intellectual property requirements.

[0145] If not, generate supplementary questions based on unanswered factors and ask the user a question.

[0146] In this embodiment, supplementary questions are posed to users to obtain answers to unanswered factors, thus making the technical or intellectual property needs of the requesting party more comprehensive. This further improves the accuracy and efficiency of matching during the technology transfer process.

[0147] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0148] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An information matching method for achievement transformation based on artificial intelligence, characterized in that: The method includes: Respond to requests from demanders and obtain their demand information, including technical and intellectual property requirements. Based on technological needs and intellectual property needs respectively, obtain sets of technological needs and sets of intellectual property needs; Based on the set of technology requirements from the demand side, a matching process is performed in the supply database to obtain several target suppliers, the technology matching degree of each target supplier, and the intellectual property supply set; Based on the intellectual property demand set of the demand side and the intellectual property supply set of each target supplier, the intellectual property matching degree between the demand side and each target supplier is obtained. Based on the degree of technical and intellectual property matching between demanders and target suppliers, each target supplier is displayed according to a preset sorting rule.

2. The AI-based technology transfer information matching method as described in claim 1, characterized in that: Based on technological needs and intellectual property needs respectively, obtain sets of technological needs and sets of intellectual property needs, including: Technical requirement features are extracted from technical requirements to obtain several technical requirement features and feature requirement data corresponding to each technical requirement feature. Standardize the feature requirement data corresponding to the technical requirement characteristics to obtain the feature requirement range corresponding to the technical requirement characteristics. Based on the characteristic requirement range corresponding to each technical requirement, obtain the set of technical requirements; Extract intellectual property demand features from intellectual property demand, and obtain several intellectual property demand features and feature demand data corresponding to each intellectual property demand feature. Standardize the feature requirement data corresponding to the intellectual property demand characteristics to obtain the feature requirement range corresponding to the intellectual property demand characteristics. Based on the characteristic requirement range corresponding to each intellectual property requirement, obtain the set of intellectual property requirements.

3. The method for matching achievement transformation information based on artificial intelligence according to claim 2, wherein: Based on the technology demand set of the demand side, a matching process is performed in the supply database to obtain several target suppliers, the technology matching degree of each target supplier, and the intellectual property supply set, including: The technical requirement features in the technical requirement set are divided into several screening features and several matching degree calculation features; Based on several screening features and the feature demand data corresponding to each screening feature, the supply database is screened to obtain several candidate suppliers and the technology supply set and intellectual property supply set of each candidate supplier; Based on several matching degree calculation features of the demand side and the technology supply set of the candidate suppliers, the technology matching degree of the candidate suppliers is obtained; Based on the technical matching degree of each candidate supplier, several target suppliers are identified and the intellectual property supply set of each target supplier is obtained.

4. The method for matching achievement transformation information based on artificial intelligence according to claim 3, wherein: Based on several screening features and the corresponding feature demand data for each screening feature, the supply database is filtered to obtain several candidate suppliers and a set of technology supply and intellectual property supply for each candidate supplier, including: According to the preset screening order, the supply database is screened one by one based on the feature demand data of several screening characteristics, and the remaining number of suppliers is obtained after each screening. When the number of remaining suppliers meets the preset quantity requirement, the screening stops, all remaining suppliers are treated as candidate suppliers, and the intellectual property supply set of each candidate supplier is obtained; Determine if there are any remaining filtering features; if so, use the remaining filtering features as features for matching degree calculation.

5. The method for matching achievement transformation information based on artificial intelligence according to claim 4, characterized in that: Based on several matching characteristics of the demand side and the technology supply set of the candidate suppliers, the technology matching degree of the candidate suppliers is obtained, including: Based on several matching characteristics of the demand side, obtain technical feature weight data; Based on the matching degree calculation characteristics of the demand side, the corresponding matching degree calculation characteristics are obtained from the technology supply set of the candidate suppliers and the characteristic matching value is calculated. Based on the technical feature weight data and the feature matching value corresponding to each feature, the technical matching degree of the candidate supplier is obtained.

6. The method for matching achievement transformation information based on artificial intelligence according to claim 5, wherein: The set of intellectual property demand includes several characteristics of property rights demand; The intellectual property supply set includes several property supply characteristics; Based on the intellectual property demand set of the demand side and the intellectual property supply set of each target supplier, the intellectual property matching degree between the demand side and each target supplier is obtained, including: Based on several property rights demand characteristics, the weight data of property rights characteristics are determined; Based on the property rights demand characteristics of the intellectual property rights demand set, the corresponding property rights supply characteristics are obtained from the intellectual property rights supply set, and the feature matching value corresponding to the property rights demand characteristics is calculated. Based on the weighted data of property rights characteristics and the feature matching values ​​corresponding to each property rights demand characteristic, the degree of intellectual property rights matching between the demand side and the target supplier is confirmed.

7. The method for matching achievement transformation information based on artificial intelligence according to claim 6, characterized in that: Based on the degree of technical and intellectual property matching between demanders and target suppliers, each target supplier is displayed according to a preset sorting rule, including: Based on the degree of technological and intellectual property matching between the target suppliers and demanders, the first priority value of the target suppliers is obtained; Based on the first ranking priority value of each target supplier, obtain the first display order of each target supplier; Based on the first display order of each target supplier and several preset constraints of each target supplier, obtain the second display order of several target suppliers under each preset constraint. The supply information of each target supplier is displayed in either the first display order or the second display order under each preset constraint.

8. The method for matching achievement transformation information based on artificial intelligence according to claim 1, wherein: Respond to the request from the demander and obtain the demand information from the demander, including: Obtain standard question templates; the standard question templates include several standard questions for technical requirements and several standard questions for intellectual property requirements; Based on the standard question template, questions are asked to the demanders to obtain their answers to the standard questions for each technical requirement and each intellectual property requirement in the standard question template; Based on the demanders' answers to the standard questions on each technical requirement and each intellectual property requirement in the standard question template, the technical requirements and intellectual property requirements are obtained.

9. The method for matching achievement transformation information based on artificial intelligence according to claim 8, wherein: Based on the standard question template, questions are posed to the requester, and the requester's responses to the standard questions for each technical requirement and each intellectual property requirement in the standard question template are obtained, including: Obtain the standard answer format for each technical requirement standard question or intellectual property requirement standard question; Questions are posed to the requester based on standard questions about technical or intellectual property needs, and natural language information is obtained from the requester's response. Standard answer formats for standard questions based on technology needs or intellectual property needs. Extract key information from natural language data to obtain responses from the requester.

10. The method for matching achievement transformation information based on artificial intelligence according to claim 9, wherein: The standard response format includes several factors to be answered; based on the standard question template, questions are posed to the requester to obtain their responses to the standard questions for each technical requirement and each intellectual property requirement in the standard question template, and this also includes: After each questioning of the requester based on standard technical requirement questions or standard intellectual property requirement questions and extraction of key information from the requester's natural language information, it is determined whether there are any unanswered factors in the standard answer format corresponding to the standard technical requirement questions or standard intellectual property requirement questions. If not, generate supplementary questions based on unanswered factors and ask the user a question.

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