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

Author

Melli, G. ; Romming, C.

Author_Institution

VigLink Inc., San Francisco, CA, USA

fYear

2012

fDate

10-10 Dec. 2012

Firstpage

861

Lastpage

864

Abstract

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.

Keywords

Internet; cataloguing; consumer products; data mining; information retrieval; text analysis; CPROD1 text mining contest; International Data Mining Conference; Web content; consumer product recognition; generated postings; large product catalog; product entity disambiguation; Benchmark testing; Catalogs; Conferences; Consumer products; Lead; Text mining; CPROD1 contest; consumer product catalog; named entity normalization; named entity recognition; user generated content;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on

Conference_Location

Brussels

Print_ISBN

978-1-4673-5164-5

Type

conf

DOI

10.1109/ICDMW.2012.104

Filename

6406530