Technology demand recognition model based on semantic similarity under the supply-demand matching perspective

HE Xijun, ZHANG Tingting, WU Yuying, JIANG Guorui

Systems Engineering - Theory & Practice ›› 2019, Vol. 39 ›› Issue (2) : 476-485.

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Systems Engineering - Theory & Practice ›› 2019, Vol. 39 ›› Issue (2) : 476-485. DOI: 10.12011/1000-6788-2017-1056-10

Technology demand recognition model based on semantic similarity under the supply-demand matching perspective

  • HE Xijun, ZHANG Tingting, WU Yuying, JIANG Guorui
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Abstract

This paper proposes a technology demand recognition model based on semantic similarity and patent transaction in the view of technology supply and demand text matching. Firstly, we collect the network technology demand text and extract the key phrases. On this basis, we build the patent transaction index library, retrieve the high-related patents based on the key phrases, build background library of patent technology supply and cut the patent title and abstract those in the background library. Thirdly, we propose the method of semantic matching weight calculation of technical supply and demand text based on word vector, filter the effective technology demand and classification. Finally, we classify the clustering results in two dimensions based on the amount of demand and the corresponding amount of patent transaction. By selecting the new energy technology field as an example to test the model, it is found that there are 195 effective technology demands, they are aggregated into 12 categories based on semantic similar. Combined with the amount of demand and the corresponding amount of patent transaction, the 12 categories of technology demand are divided into four categories:“high demand, high transaction”,“high demand, low transaction”,“low demand, low transaction”,“low demand, low transaction”. The research provides a new idea for mining network technology demand and matching the demand and supply.

Key words

technology supply and demand matching degree / technical demand recognition / word vector semantics similarity

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HE Xijun , ZHANG Tingting , WU Yuying , JIANG Guorui. Technology demand recognition model based on semantic similarity under the supply-demand matching perspective. Systems Engineering - Theory & Practice, 2019, 39(2): 476-485 https://doi.org/10.12011/1000-6788-2017-1056-10

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Funding

Beijing Municipal Natural Science Foundation (9172002)
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