Automatic Clustering Methods of Offers in an E-Commerce Marketplace
Anna Wróblewska , Bartłomiej Twardowski , Paweł Zawistowski , Dominik Paweł Ryżko
AbstractThis 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.
|Publication size in sheets||7.35|
|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|
|Keywords in English||Clustering, E-commerce, Cluster quality|
|Score|| = 15.0, 27-03-2017, BookChapterSeriesAndMatConfByIndicator|
= 15.0, 27-03-2017, BookChapterSeriesAndMatConfByIndicator
|Citation count*||1 (2018-06-17)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.