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.

Item Type:	Refereed Conference Paper
Keywords:	Mobile personalisation, user modelling, scrutability, and recommender technology.
Research Division:	Information and Computing Sciences
Research Group:	Library and information studies
Research Field:	Human information interaction and retrieval
Objective Division:	Information and Communication Services
Objective Group:	Information systems, technologies and services
Objective Field:	Application software packages
UTAS Author:	Wasinger, R (Dr Rainer Wasinger)
ID Code:	90129
Year Published:	2013
Deposited By:	Information and Communication Technology
Deposited On:	2014-03-27
Last Modified:	2017-11-13
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