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Towards a social and context-aware mobile recommendation system for tourism
به سوی یک سیستم توصیه ای سیار اجتماعی و آگاه از متن برای گردشگری-2017 Loyalty in tourism is one of the main concerns for tourist organizations and researchers
alike. Recently, technology in general and CRM and social networks in particular
have been identified as important enablers for loyalty in tourism. This paper presents
POST-VIA 360, a platform devoted to support the whole life-cycle of tourism loyalty after
the first visit. The system is designed to collect data from the initial visit by means of
pervasive approaches. Once data is analysed, POST-VIA 360 produces accurate after visit
data and, once returned, is able to offer relevant recommendations based on positioning
and bio-inspired recommender systems. To validate the system, a case study comparing
recommendations from the POST-VIA 360 and a group of experts was conducted. Results
show that the accuracy of system’s recommendations is remarkable compared to previous
efforts in the field.
Keywords: Tourism | Customer relationship management | Bio-inspired algorithms | Pervasive | Geographic information systems |
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