Expert and community based style advice

Authors:
D. Vogiatzis;D. Pierrakos;G. Paliouras;S. Jenkyn-Jones;B. J. H. H. A. Possen
Affiliations:
Institute of Informatics & Telecommunications, NCSR "Demokritos", Ag. Paraskevi, 15310 Athens, Greece and The American College of Greece, Athens, Greece;Institute of Informatics & Telecommunications, NCSR "Demokritos", Ag. Paraskevi, 15310 Athens, Greece;Institute of Informatics & Telecommunications, NCSR "Demokritos", Ag. Paraskevi, 15310 Athens, Greece;London College of Fashion, University of the Arts, London, UK;CustoMax, Pilotenstraat 56, Amsterdam, The Netherlands
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

We propose a knowledge framework for garment recommendations, which is based on two pillars. The first pillar incorporates knowledge about aspects of fashion, such as materials, garments, colours, body types, facial features, social occasion etc., as well as their interrelations, with the purpose of providing personalised recommendations. The said knowledge is encoded in the form of an owl ontology, the origin of which is attributed to fashion experts. Moreover, in commercial fashion sites, customers purchase garments of various types. Because of that, interesting patterns in their purchase behaviour can be sought, and thus groups of garments that tend to be purchased together can be discovered. This forms the second pillar, that can be used to enhance the first pillar with community based garment recommendations. This paper is the description and integration of the aforementioned pillars in a knowledge framework.