Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications
Rainer Wasinger; James Wallbank; Luiz Pizzato; Judy Kay; Bob Kummerfeld; Matthias Böhmer; Antonio Krüger
In: Sandra Carberry; Stephan Weibelzahl; Alessandro Micarelli; Giovanni Semeraro (Hrsg.). User Modeling, Adaptation, and Personalization. Pages 77-88, Lecture Notes in Computer Science (LNCS), Vol. 7899, ISBN 978-3-642-38843-9, Springer, Berlin - Heidelberg, 2013.
This paper presents our work on supporting scrutable user models for use in mobile applications that provide personalised item recommendations. In particular, we describe a mobile lifestyle application in the fine-dining domain, designed to recommend meals at a particular restaurant based on a persons user model. The contributions of this work are three-fold. First is the mobile application and its personalisation engine for item recommendation using a content and critique-based hybrid recommender. Second, we illustrate the control and scrutability that a user has in configuring their user model and browsing a content list. Thirdly, this is validated in a user experiment that illustrates how new digital features may revolutionise the way that paper-based systems (like restaurant menus) currently work. Although this work is based on restaurant menu recommendations, its approach to scrutability and mobile client-side personalisation carry across to a broad class of commercial applications.