Automatic Clustering Methods of Offers in an E-Commerce Marketplace

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.