Using Taxonomies for Product Recommendation
Osvaldo Matos-Junior, Nívio Ziviani, Fabiano C. Botelho, Marco Antônio Pinheiro de Cristo, Anísio Mendes Lacerda, Altigran Soares da Silva · Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) · 2012
Abstract. In this work we take advantage of valuable information encoded in taxonomies to improve the quality of recommender systems. We present three strategies that explore the use of taxonomies: (i) category descriptors, (ii) classification features and (iii) category filters. We provide a real-case study over the book domain, in which the recommendation target is a set of 100 news page from The New York Times and the items to be recommended are 1,499,792 books distributed in 1,621 category nodes from a taxonomy, both crawled from Amazon.com. In strategy (i),