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The availability of large volumes of granted patents and applications, all publicly available on the Web, enables the use of sophisticated text mining and information retrieval methods to facilitate access and analysis of patents. In this paper we investigate techniques to automatically recommend patents given a query patent. This task is critical for a variety of patent-related analysis problems such as finding relevant citations, research of relevant prior art, and infringement analysis. Wedoi:10.1145/2507157.2507232 dblp:conf/recsys/KrestelS13 fatcat:2tl74fa4lbex7oyd2yemraspny