Using mobile preference-based searching to improve tourism decision support

Authors:
Ryan Hill;Janet Wesson
Affiliations:
Nelson Mandela Metropolitan University, Port Elizabeth;Nelson Mandela Metropolitan University, Port Elizabeth
Venue:
Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology
Year:
2008

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Abstract

Powerful mobile computing devices such as smartphones and PDAs are becoming more numerous and affordable. These mobile devices are ideal for tourists needing to search for suitable points-of-interest (POIs) such as restaurants or accommodation. This paper discusses the development of a new preference-based searching algorithm and its implementation in a mobile preference-based searching tool (PBST), called POInter. This algorithm calculates a percentage ranking reflecting the extent to which a POI matches the user's preferences, enabling partially-satisfied search results to be displayed. POInter enables users to identify POIs most suited to their needs and constraints and visualise the search results using a map-based metaphor. POInter combines positive features from existing systems, whilst addressing their limitations and introducing additional functionality. Results of evaluations conducted are outlined, revealing the extent to which POInter provides an effective PBST for mobile tourism decision support.