Patent thickets have been identified as a major stumbling block in the development of new technologies, creating the need to accurately identify thicket membership. Various citations-based methodologies (Graevenitz et al, 2011; Clarkson, 2005) have been proposed, which have relied on broad survey...

We introduce and describe the Patent Similarity Data set, comprising vector space model-based similarity scores for United States utility patents. The data set provides approximately 640 million pre-calculated similarity scores, as well as the code and computed vectors required to calculate...