Abstract: 【Purpose/significance】With the development of network information technology and national policy support for technology
transfer, a large number of online technology transaction needs arise. As the intermediary of technology supply and demand transac?
tion, a large number of text information of technology supply and demand can be released on the platform. Improving the efficiency of
text matching of technology supply and demand is helpful to improve the success rate of technology transaction and promote technolo?
gy transfer.【Method/process】Based on the analysis of traditional text matching methods, this paper combs the current situation of on? line technology supply and demand text matching methods from four directions: keyword based matching method, syntactic analysis and text structure based matching method, deep learning based matching method and multi-dimensional perspective based matching method.【Result/conclusion】The results show that most of the studies have integrated a variety of matching methods, and matching from a multi-dimensional perspective is the research trend. In the future research of technology supply and demand text matching, inaddition to continuing to integrate deep learning methods into existing methods, researchers should also improve the efficiency of tech? nology supply and demand text matching from the directions of multi-dimensional, cross modal and interpretable.【Innovation/limita?tion】This paper summarizes the technology text matching method, which can provide reference for the technology text matching meth? od, but technology matching should also consider other factors affecting technology transfer in reality.