Scientific and technological achievement and demand intelligent matching method based on artificial intelligence

Abstract

The invention discloses a scientific and technological achievement and demand intelligent matching method based on artificial intelligence, and the method comprises the following steps: firstly, constructing a scientific and technological achievement library and a demand library; secondly, performing feature extraction on scientific and technological achievements and demand texts; then, designing an intelligent matching algorithm, and calculating the similarity between the scientific and technological achievements and the demands; and finally, sorting the scientific and technological achievements according to the similarity scores, and outputting a scientific and technological achievement list with the highest matching degree. The method not only improves the conversion rate of scientific and technological achievements, but also promotes the communication and cooperation among enterprises, enhances the competitiveness of the enterprises, and has important significance for promoting regional innovation and economic development. According to the method, powerful data support and service guarantee are provided for the science and technology service industry, convenience is provided for conversion and industrialization of scientific and technological achievements, support is provided for incubation of small and medium-sized enterprises and cultivation of high and new technology enterprises, communication and cooperation between the enterprises are enhanced, enterprise benefits are improved, and transformation, upgrading and sustainable development of regional economy are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of information retrieval and intelligent recommendation, and specifically to an intelligent matching method of scientific and technological achievements and needs based on artificial intelligence. Background Art

[0002] As scientific and technological innovation becomes a key factor in promoting economic development and social progress, the transformation and application of scientific and technological achievements are particularly important. However, the matching efficiency between scientific and technological achievements and market demand is currently significantly insufficient. The main reason is that the information of scientific and technological achievements is scattered and the demand information is unclear, which makes it difficult for both parties to achieve effective docking. In addition, traditional matching methods mostly rely on manual operations, which are not only inefficient, but also difficult to ensure the accuracy and comprehensiveness of matching.

[0003] With the rapid development of artificial intelligence technology, especially the progress of natural language processing (NLP) and machine learning (ML) technology, new solutions have been provided for the intelligent matching of scientific and technological achievements with demand. These technologies can process and analyze large amounts of text data, identify key information, and make predictions and recommendations based on data patterns. However, the existing intelligent matching systems still face the problems of inaccurate understanding and inaccurate matching when dealing with highly professional scientific and technological achievement information. In addition, the transformation of scientific and technological achievements also involves complex factors such as intellectual property protection and technology transaction security, which are often not fully considered in the existing matching systems. Therefore, the existing technologies have limitations in promoting the commercialization and industrialization of scientific and technological achievements. There is an urgent need for a more efficient and intelligent method for matching scientific and technological achievements with demand, so as to improve the conversion rate of scientific and technological achievements, shorten the conversion cycle, and reduce the conversion cost, so as to better serve the needs of enterprises and the market. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and propose an intelligent matching method for scientific and technological achievements and needs based on artificial intelligence. This method builds a comprehensive database of scientific and technological achievements and a database of needs, and uses advanced natural language processing and machine learning technologies to achieve intelligent matching between scientific and technological achievements and user needs, so as to solve the shortcomings of the prior art and promote the rapid transformation and application of scientific and technological achievements.

[0005] The technical solution for achieving the purpose of the present invention is: A method for intelligently matching scientific and technological achievements with needs based on artificial intelligence, comprising the following steps: 1) Collect and organize existing scientific and technological achievements information and build a scientific and technological achievements database; 2) Collect and organize user demand information and build a demand database; 3) Feature extraction: extract key features from the scientific and technological achievements database and demand database to form feature vectors; 4) Intelligent matching algorithm design: Design an intelligent matching algorithm to calculate the similarity between scientific and technological achievements and requirements; 5) Matching result output: Based on the similarity score, output the list of scientific and technological achievements with the highest matching degree.

[0006] The feature extraction step in step 3) specifically includes: 3.1 Text preprocessing: preprocess the scientific and technological achievements and demand texts by segmenting, removing stop words and extracting stems; 3.2 Keyword recognition: Use natural language processing technology to identify the keywords of scientific and technological achievements in the scientific and technological achievements database and demand texts in the demand database; 3.3 Feature vectorization: Convert keywords into numerical feature vectors to facilitate similarity calculation.

[0007] The steps of designing the intelligent matching algorithm in step 4) specifically include: 4.1 Similarity calculation: Use cosine similarity or Jaccard similarity calculation method to calculate the similarity between scientific and technological achievements and requirements; 4.2 Machine learning model training: Use machine learning algorithms to train matching models to improve matching accuracy; 4.3 Application of deep learning model: Deep learning technology is used to further optimize the matching effect.

[0008] The step of outputting the matching result in step 5) specifically includes: 5.1 Result sorting: Sort the scientific and technological achievements according to the calculated similarity scores; 5.2 Result screening: According to the threshold set by the user, screen out scientific and technological achievements with a matching degree higher than the threshold; 5.3 Result display: The screened scientific and technological achievements will be displayed to users in the form of lists or charts.

[0009] This approach aims to achieve intelligent matching between scientific and technological achievements and user needs through these services, in order to solve the deficiencies in existing technologies and promote the rapid transformation and application of scientific and technological achievements. The successful implementation of this approach will increase the conversion rate of scientific and technological achievements, shorten the conversion cycle, and reduce the conversion cost, thereby better serving the needs of enterprises and the market. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 is a flow chart of an embodiment; Figure 2 It is a flow chart of feature extraction in the embodiment; Figure 3 A flowchart of the intelligent matching algorithm designed in the embodiment; Figure 4 This is a flow chart of the matching result output in the embodiment. DETAILED DESCRIPTION

[0011] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Example

[0012] Reference Figure 1 , a method for intelligently matching scientific and technological achievements with needs based on artificial intelligence, comprising the following steps: 1) Collect and organize existing scientific and technological achievements information and build a scientific and technological achievements database; 2) Collect and organize user demand information and build a demand database; 3) Feature extraction: extract key features from the scientific and technological achievements database and demand database to form feature vectors; 4) Intelligent matching algorithm design: Design an intelligent matching algorithm to calculate the similarity between scientific and technological achievements and requirements; 5) Matching result output: Based on the similarity score, output the list of scientific and technological achievements with the highest matching degree.

[0013] like Figure 2 As shown, the step 3) of feature extraction specifically includes: 3.1 Text preprocessing: preprocessing of scientific and technological achievements and demand texts by word segmentation, stop word removal, and stem extraction; 3.2 Keyword recognition: Use natural language processing technology to identify the keywords of scientific and technological achievements in the scientific and technological achievements database and demand texts in the demand database; 3.3 Feature vectorization: Convert keywords into numerical feature vectors to facilitate similarity calculation.

[0014] like Figure 3 As shown, the steps of designing the intelligent matching algorithm in step 4) specifically include: 4.1 Similarity calculation: Use cosine similarity or Jaccard similarity calculation method to calculate the similarity between scientific and technological achievements and requirements; 4.2 Machine learning model training: Use machine learning algorithms, such as support vector machines and neural networks, to train matching models to improve matching accuracy; 4.3 Application of deep learning model: Use deep learning techniques, such as convolutional neural network (CNN) or recurrent neural network (RNN), to further optimize the matching effect.

[0015] like Figure 4As shown, the step of outputting the matching result in step 5) specifically includes: 5.1 Result sorting: Sort the scientific and technological achievements according to the calculated similarity scores; 5.2 Result screening: According to the threshold set by the user, screen out scientific and technological achievements with a matching degree higher than the threshold; 5.3 Result display: The screened scientific and technological achievements will be displayed to users in the form of lists or charts.

Claims

1. A method for intelligently matching scientific and technological achievements with needs based on artificial intelligence, characterized in that: The following steps are involved: 1) Collect and organize existing scientific and technological achievements information and build a scientific and technological achievements database; 2) Collect and organize user demand information and build a demand database; 3) Feature extraction: extract key features from the scientific and technological achievements database and demand database to form feature vectors; 4) Intelligent matching algorithm design: Design an intelligent matching algorithm to calculate the similarity between scientific and technological achievements and requirements; 5) Matching result output: Based on the similarity score, output the list of scientific and technological achievements with the highest matching degree.

2. According to claim 1, a method for intelligently matching scientific and technological achievements with needs based on artificial intelligence, characterized in that: The feature extraction step in step 3) specifically includes: 3.1 Text preprocessing: preprocess the scientific and technological achievements and demand texts by segmenting, removing stop words and extracting stems; 3.2 Keyword recognition: Use natural language processing technology to identify the keywords of scientific and technological achievements in the scientific and technological achievements database and demand texts in the demand database; 3.3 Feature vectorization: Convert keywords into numerical feature vectors to facilitate similarity calculation.

3. The method for intelligently matching scientific and technological achievements and needs based on artificial intelligence according to claim 1, characterized in that: The steps of designing the intelligent matching algorithm in step 4) specifically include: 4.1 Similarity calculation: Use cosine similarity or Jaccard similarity calculation method to calculate the similarity between scientific and technological achievements and requirements; 4.2 Machine learning model training: Use machine learning algorithms to train matching models to improve matching accuracy; 4.3 Application of deep learning model: Use deep learning technology to further optimize the matching effect.

4. According to claim 1, a method for intelligently matching scientific and technological achievements with needs based on artificial intelligence, characterized in that: The step of outputting the matching result in step 5) specifically includes: 5.1 Result sorting: Sort the scientific and technological achievements according to the calculated similarity scores; 5.2 Result screening: According to the threshold set by the user, screen out scientific and technological achievements with a matching degree higher than the threshold; 5.3 Result display: The screened scientific and technological achievements will be displayed to users in the form of lists or charts.

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