[Purpose/significance] This paper intends to construct a technology transfer characteristics indicator system to provide information supporting for patent technology transfer, help to identify patents with potential application in advance, and promote the transfer of scientific and technological achievements. [Method/process] This paper based on patent transfer behavior which has already happened. First, we defined the transferred and not transferred datasets, and analyzed the differences between two datasets. Then we constructed the technological transfer characteristic indicator system based on the patent documents at 4 perspectives of technology, law, market and subject. Finally, we conducted statistical tests and empirical model tests. [Result/conclusion] The basic characteristic indicators based on the patent documents can predict technology transfer, and the impact degree of each indicator is relatively balanced and there is no dominant indicator. The predictive effect of the indicator system was tested by the SVM model, which showed that it could be applied to national level, organization level and patent level analysis.
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