An Overview of the CPROD1 Contest on Consumer Product Recognition within User Generated Postings and Normalization against a Large Product Catalog

A significant proportion of web content and its usage is due to the discussion-of and research-into consumer products. Currently however no benchmark dataset exists to evaluate the performance of text mining systems that can accurately identify and disambiguate product entities within a large product catalog. This paper presents an overview of the CPROD1 text mining contest which ran from July 2nd to Sept. 24th 2012 as part of the 21st International Data Mining Conference (ICDM-2012) that addressed this gap.