With the strong support of China for technology transfer, more and more technology transfer platforms have been emerging. However, it is difficult to match supply and demand on existing platforms. Therefore, the platform’s potential in improving the success rate of technology transfer is limited. For solving this issue, this study proposes a novel implementation method for technology transfer platform which uses big data mining technology to organize and analyze platform data. We combine other technologies such as full-text search, data collection, and RESTful interface to jointly improve the matching degree of the data, expand the visible range of the data, and ultimately improve the technology transfer rate. At present, a platform has been deployed and operated in Jiangsu Province. Through the platform, a large number of technology transfers have been implemented.