Building Mini-Categories in Product Networks
We constructed a product network based on the sales data collected and provided by a major nationwide retailer. The structure of the network is dominated by small isolated components, dense clique-based communities, and sparse stars and linear chains and pendants. We used the identified structural elements (tiles) to organize products into mini-categories—compact collections of potentially complementary and substitute items. The mini-categories extend the traditional hierarchy of retail products (group–class–subcategory) and may serve as building blocks towards exploration of consumer projects and long-term customer behavior.
Keywordsretailing product network mini-category category management
Unable to display preview. Download preview PDF.
- 2.Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: Proc. of the ACM SIGMOD International Conference on Management of Data, Washington, D.C., pp. 207–216 (1993)Google Scholar
- 3.Forte Consultancy. Product Network Analysis—the Next Big Thing in Retail Data Mining, http://forteconsultancy.wordpress.com/2013/02/19/product-network-analysis-the-next-big-thing-in-retail-data-mining/
- 10.Pennacchioli, D., Coscia, M., Pedreschi, D.: Overlap versus Partition: Marketing Classification and Customer Profiling in Complex Networks of Products. In: 2014 IEEE 30th International Conference on Data Engineering Workshops (ICDEW), pp. 103–110. IEEE (2014)Google Scholar
- 12.Wharton Customer Analytics Initiative: Using Purchase History to Identify Customer “Projects.” Data Key 3.0, available through WCAI (2014)Google Scholar
- 17.Henderson, K., et al.: RolX: Structural Role Extraction and Mining in Large Graphs. In: Proc. of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1231–1239. ACM (2012)Google Scholar