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Engaging end-user driven recommender systems: personalization through web augmentation
Authors:Wischenbart  Martin  Firmenich  Sergio  Rossi  Gustavo  Bosetti  Gabriela  Kapsammer  Elisabeth
Affiliation:1.Johannes Kepler University Linz, Linz, Austria
;2.Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA), Universidad Nacional de La Plata, La Plata, Argentina
;3.CONICET, La Plata, Argentina
;4.Department of Cooperative Information Systems (CIS), Johannes Kepler University Linz, Linz, Austria
;
Abstract:Multimedia Tools and Applications - In the past decades recommender systems have become a powerful tool to improve personalization on the Web. Yet, many popular websites lack such functionality,...
Keywords:
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