research unit 1

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Type of publication:Article
Entered by:chita
TitleMobile Recommender Systems in Tourism
Bibtex cite IDRACTI-RU1-2014-15
Journal Journal of Network and Computer Applications
Year published 2014
Month March
Volume 39
Pages 319-333
Keywords Mobile tourism,Mobile recommender systems,Personalization; Points of interest; Pull-based,Reactive,Proactive,Location awareness,Context-awareness,Route planning,Tour planning
Recommender Systems (RSs) have been extensively utilized as a means of reducing the information overload and offering travel recommendations to tourists. The emerging mobile RSs are tailored to mobile device users and promise to substantially enrich tourist experiences, recommending rich multimedia content, context-aware services, views/ratings of peer users, etc. New developments in mobile computing, wireless networking, web technologies and social networking leverage massive opportunities to provide highly accurate and effective tourist recommendations that respect personal preferences and capture usage, personal, social and environmental contextual parameters. This article follows a systematic approach in reviewing the state-of-the-art in the field, proposing a classification of mobile tourism RSs and providing insights on their offered services. It also highlights challenges and promising research directions with respect to mobile RSs employed in tourism.
Gavalas, Damianos
Konstantopoulos, Charalampos
Mastakas, Konstantinos
Pantziou, Grammati
Publication ID1030