University Of Tasmania

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Scrutable user models and personalised item recommendation in mobile lifestyle applications

conference contribution
posted on 2023-05-23, 08:34 authored by Wasinger, R, Wallbank, J, Pizzato, L, Kay, J, Kummerfeld, B, Bohmer, M, Krueger, A
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 ne-dining domain, designed to recommend meals at a particular restaurant based on a person's 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 con guring 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.


Publication title

Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP)


A Micarelli et al






School of Information and Communication Technology



Place of publication

Berlin, Germany

Event title

The International Conference on User Modeling, Adaptation and Personalization (UMAP)

Event Venue

Rome, Italy

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2013 Springer

Repository Status

  • Restricted

Socio-economic Objectives

Application software packages