Automatic Clustering Methods of Offers in an E-Commerce Marketplace

Anna Wróblewska , Bartłomiej Twardowski , Paweł Zawistowski , Dominik Paweł Ryżko

Abstract

This work describes fully automatic clustering methods of offers in an e-commerce marketplace. Three different grouping approaches are proposed. We also designed and applied quality measures of clustering based on user-generated events. We assessed the proposed methods of clustering and compared them.
Author Anna Wróblewska II
Anna Wróblewska,,
- The Institute of Computer Science
, Bartłomiej Twardowski II
Bartłomiej Twardowski,,
- The Institute of Computer Science
, Paweł Zawistowski ISE
Paweł Zawistowski,,
- The Institute of Electronic Systems
, Dominik Paweł Ryżko II
Dominik Paweł Ryżko,,
- The Institute of Computer Science
Pages147-160
Publication size in sheets7.35
Book Ryżko Dominik Paweł, Gawrysiak Piotr, Kryszkiewicz Marzena, Rybiński Henryk (eds.): Machine Intelligence and Big Data in Industry, Studies in Big Data, vol. 19, 2016, Springer International Publishing Switzerland, ISBN 978-3-319-30314-7, [978-3-319-30315-4], 236 p., DOI:10.1007/978-3-319-30315-4 document.gif
Keywords in EnglishClustering, E-commerce, Cluster quality
DOIDOI:10.1007/978-3-319-30315-4_13
URL http://link.springer.com/chapter/10.1007/978-3-319-30315-4_13
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterSeriesAndMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterSeriesAndMatConfByIndicator
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