Product Matching to Determine the Energy Efficiency of Used Cars Available at Internet Marketplaces

Autor:	Mario Rivas-Sánchez, Elisa Guerrero, Jaime Martel, M. P. Guerrero-Lebrero, Pedro L. Galindo, Guillermo Bárcena-González
Rok vydání:	2017
Předmět:	Search engine Information retrieval business.industry media_common.quotation_subject Retail market The Internet Ambiguity String searching algorithm Marketing business Merge (version control) media_common Efficient energy use
Zdroj:	Soft Computing for Sustainability Science ISBN: 9783319623580
DOI:	10.1007/978-3-319-62359-7_10
Popis:	The growth of the Internet has fuelled the availability of e-commerce marketplaces and search engines must face with a huge amount of ambiguity and inconsistencies in the data. Product matching aims at disambiguating descriptions of products belonging to different websites in order to be able to recognize identical products and to merge the content from those identical items. In this work first we evaluate some similarity measures for string matching and then, we apply a complete product matching methodology to the retail market of used cars. We use a reference or master list of items and information about a wide variety of used cars offers. The resulting linkage allows energy efficiency assignment of the model identified.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bd8bf80bfff788a53c2f4d6cce5918d5 https://doi.org/10.1007/978-3-319-62359-7_10 Zobrazit plný text záznamu