Context-Aware Intelligent Recommendation System for Tourism

K Meehan, Tom Lunney, K Curran, Aiden McCaughey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

64 Citations (Scopus)

Abstract

Increasingly manufacturers of smartphone devices are utilising a diverse range of sensors. This innovation has enabled developers to accurately determine a user’s current context. In recent years there has also been a renewed requirement to use more types of context and reduce the current over-reliance on location as a context. Location based systems have enjoyed great success and this context is very important for mobile devices. However, using additional context data such as weather, time, social media sentiment and user preferences can provide a more accurate model of the user’s current context. One area that has been significantly improved by the increased use of context in mobile applications is tourism. Traditionally tour guide applications rely heavily on location and essentially ignore other types of context. This has led to problems of inappropriate suggestions, due to inadequate content filtering and tourists experiencing information overload. These problems can be mitigated if appropriate personalisation and content filtering is performed. The intelligent decision making that this paper proposes with regard to the development of the VISIT system, is a hybrid based recommendation approach made up of collaborative filtering, content based recommendation and demographic profiling. Intelligent reasoning will then be performed as part of this hybrid system to determine the weight/importance of each different context type.Keywords- Context-Awareness, Tourism, Mobile, Personalisation, Pervasive, Social Media.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages328-331
Number of pages4
DOIs
Publication statusPublished - 20 Mar 2013
EventPerCom 2013 - 11th IEEE International Conference on Pervasive Computing and Communications - San Diego, USA
Duration: 20 Mar 2013 → …

Conference

ConferencePerCom 2013 - 11th IEEE International Conference on Pervasive Computing and Communications
Period20/03/13 → …

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Recommender systems
Collaborative filtering
Smartphones
Hybrid systems
Mobile devices
Innovation
Decision making
Sensors

Cite this

Meehan, K ; Lunney, Tom ; Curran, K ; McCaughey, Aiden. / Context-Aware Intelligent Recommendation System for Tourism. Unknown Host Publication. 2013. pp. 328-331
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Meehan, K, Lunney, T, Curran, K & McCaughey, A 2013, Context-Aware Intelligent Recommendation System for Tourism. in Unknown Host Publication. pp. 328-331, PerCom 2013 - 11th IEEE International Conference on Pervasive Computing and Communications, 20/03/13. https://doi.org/10.1109/PerComW.2013.6529508

Context-Aware Intelligent Recommendation System for Tourism. / Meehan, K; Lunney, Tom; Curran, K; McCaughey, Aiden.

Unknown Host Publication. 2013. p. 328-331.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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