A mobile 3D-GIS hybrid recommender system for tourism

The amount of touristic and travel information existing on the Internet is overwhelming. Recommender systems are typically used to filter irrelevant information and to provide personalized and relevant services to tourists. In this context, mobile devices are particularly useful because of their ubiquitous nature that turns them into an attractive platform for assisting on-the-move tourists to choose points of interest to visit according to their physical location. However, mobile devices also present several usability limitations that should be considered in order to provide information in a direct and intuitive way. In this paper, we present a novel mobile recommender system that brings together a hybrid recommendation engine and a mobile 3D GIS architecture. This system allows tourists to benefit from innovative features such as a 3D map-based interface and real-time location-sensitive recommendations. The details related to the design and implementation of the proposed solution are also presented, along with an empirical evaluation of user experience with the mobile application.

[1]  Georg Gartner,et al.  Using Context-Aware Collaborative Filtering for POI Recommendations in Mobile Guides , 2012 .

[2]  Francesco Ricci,et al.  Recommending music for places of interest in a mobile travel guide , 2011, RecSys '11.

[3]  Bernd Ludwig,et al.  Context relevance assessment and exploitation in mobile recommender systems , 2012, Personal and Ubiquitous Computing.

[4]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[5]  R. Kohli,et al.  Internet Recommendation Systems , 2000 .

[6]  Macarena Espinilla,et al.  Using linguistic incomplete preference relations to cold start recommendations , 2010, Internet Res..

[7]  Wan-Shiou Yang,et al.  A location-aware recommender system for mobile shopping environments , 2008, Expert Syst. Appl..

[8]  Duen-Ren Liu,et al.  A hybrid of sequential rules and collaborative filtering for product recommendation , 2009, Inf. Sci..

[9]  Robert Joan Arinyo,et al.  A Hybrid Rendering Technique to Navigate in Large Terrains Using Mobile Devices , 2010, CGI 2010.

[10]  Chris Cornelis,et al.  Getting Cold Start Users Connected in a Recommender System's Trust Network , 2008, CDC 2008.

[11]  Francesco Ricci,et al.  Mobile Recommender Systems , 2010, J. Inf. Technol. Tour..

[12]  Aristides Mpitziopoulos,et al.  A mobile tourism recommender system , 2010, The IEEE symposium on Computers and Communications.

[13]  B. Pröll,et al.  Context-awareness in Mobile Tourism Guides – A Comprehensive Survey , 2005 .

[14]  A. Felfernig,et al.  A Short Survey of Recommendation Technologies in Travel and Tourism , 2006 .

[15]  Keith Cheverst,et al.  Developing a context-aware electronic tourist guide: some issues and experiences , 2000, CHI.

[16]  Antti Nurminen Mobile 3D City Maps , 2008, IEEE Computer Graphics and Applications.

[17]  Damianos Gavalas,et al.  Electronic mobile guides: a survey , 2010, Personal and Ubiquitous Computing.

[18]  Johan Koolwaaij,et al.  Context-Aware Recommendations in the Mobile Tourist Application COMPASS , 2004, AH.

[19]  Zhongfu Wu,et al.  Personalisation in web computing and informatics: Theories, techniques, applications, and future research , 2010, Inf. Syst. Frontiers.

[20]  Liang-Chu Chen,et al.  Building and evaluating a location-based service recommendation system with a preference adjustment mechanism , 2009, Expert Syst. Appl..

[21]  Von-Wun Soo,et al.  A personalized restaurant recommender agent for mobile e-service , 2004, IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004.

[22]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[23]  R. Malaka,et al.  CRUMPET: creation of user-friendly mobile services personalised for tourism , 2001 .

[24]  Fernando Ortega,et al.  Collaborative filtering based on significances , 2012, Inf. Sci..

[25]  Gediminas Adomavicius,et al.  Context-aware recommender systems , 2008, RecSys '08.

[26]  Antonio Krüger,et al.  Exploring the Design Space of Context-aware Recommender Systems that Suggest Mobile Applications , 2010 .

[27]  Dietmar Jannach,et al.  Developing a Conversational Travel Advisor with ADVISOR SUITE , 2007, ENTER.

[28]  A. P. Williams,et al.  Tourism destination brands and electronic commerce: Towards synergy? , 1999 .

[29]  Francesco Ricci,et al.  Travel Recommender Systems , 2002 .

[30]  Yain-Whar Si,et al.  Design of a recommender system for mobile tourism multimedia selection , 2008, 2008 2nd International Conference on Internet Multimedia Services Architecture and Applications.

[31]  Bobby Bhattacharjee,et al.  Using Trust in Recommender Systems: An Experimental Analysis , 2004, iTrust.

[32]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[33]  Gregory D. Abowd,et al.  Cyberguide: A mobile context‐aware tour guide , 1997, Wirel. Networks.

[34]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

[35]  Bernd Ludwig,et al.  InCarMusic: Context-Aware Music Recommendations in a Car , 2011, EC-Web.

[36]  Renato Pajarola,et al.  Survey of semi-regular multiresolution models for interactive terrain rendering , 2007, The Visual Computer.

[37]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[38]  Macarena Espinilla,et al.  REJA: A Georeferenced Hybrid Recommender System for Restaurants , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[39]  Bruce Krulwich,et al.  LIFESTYLE FINDER: Intelligent User Profiling Using Large-Scale Demographic Data , 1997, AI Mag..

[40]  Anind K. Dey,et al.  Context-Aware Computing , 2010, Ubicomp 2010.

[41]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[42]  Enrique Herrera-Viedma,et al.  A google wave-based fuzzy recommender system to disseminate information in University Digital Libraries 2.0 , 2011, Inf. Sci..

[43]  Antti Oulasvirta,et al.  Designing Interactions for Navigation in 3D Mobile Maps , 2008, Map-based Mobile Services.

[44]  Michael N. DeMers,et al.  Fundamentals of Geographic Information Systems , 1996 .

[45]  John Riedl,et al.  E-Commerce Recommendation Applications , 2004, Data Mining and Knowledge Discovery.

[46]  Alexander Tuzhilin,et al.  The effect of context-aware recommendations on customer purchasing behavior and trust , 2011, RecSys '11.

[47]  Hyung Jun Ahn,et al.  A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem , 2008, Inf. Sci..

[48]  John Riedl,et al.  An algorithmic framework for performing collaborative filtering , 1999, SIGIR '99.

[49]  William W. Cohen,et al.  Recommendation as Classification: Using Social and Content-Based Information in Recommendation , 1998, AAAI/IAAI.

[50]  Nitya Narasimhan,et al.  Using location for personalized POI recommendations in mobile environments , 2006, International Symposium on Applications and the Internet (SAINT'06).

[51]  Enrique Herrera-Viedma,et al.  A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office , 2012, Inf. Sci..

[52]  Maria F. Trujillo,et al.  A Recommender System Based on Multi-features , 2007, ICCSA.

[53]  Patrick Olivier,et al.  Camera Control in Computer Graphics , 2008, Comput. Graph. Forum.

[54]  Guy Shani,et al.  Evaluating Recommendation Systems , 2011, Recommender Systems Handbook.

[55]  José Juan Pazos-Arias,et al.  Exploring synergies between content-based filtering and Spreading Activation techniques in knowledge-based recommender systems , 2011, Inf. Sci..

[56]  Philip S. Yu,et al.  Music Recommendation Using Content and Context Information Mining , 2010, IEEE Intelligent Systems.

[57]  Damianos Gavalas,et al.  An innovative mobile electronic tourist guide application , 2009, Personal and Ubiquitous Computing.

[58]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[59]  Riina Vuorikari,et al.  Collaborative recommendation of e-learning resources: an experimental investigation , 2010, J. Comput. Assist. Learn..

[60]  Francesco Ricci,et al.  Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System , 2007, IEEE Intelligent Systems.

[61]  Tomas Akenine-Möller,et al.  The State of the Art in Mobile Graphics Research , 2008, IEEE Computer Graphics and Applications.

[62]  Alan Said,et al.  Identifying and utilizing contextual data in hybrid recommender systems , 2010, RecSys '10.

[63]  Sally I. McClean,et al.  Collaborative Filtering: The Aim of Recommender Systems and the Significance of User Ratings , 2010, ECIR.

[64]  Pei-Yun Tsai,et al.  Personalized recommendation of popular blog articles for mobile applications , 2011, Inf. Sci..

[65]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[66]  Rafael Jesús Segura,et al.  Navigating large terrains using commodity mobile devices , 2011, Comput. Geosci..

[67]  Damianos Gavalas,et al.  A web-based pervasive recommendation system for mobile tourist guides , 2011, Personal and Ubiquitous Computing.

[68]  Michael J. Pazzani,et al.  Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.

[69]  Luca Chittaro,et al.  Navigation techniques for small-screen devices: An evaluation on maps and web pages , 2008, Int. J. Hum. Comput. Stud..

[70]  Robert H. Guttman Merchant differentiation through integrative negotiation in agent-mediated electronic commerce , 1998 .

[71]  Hannes Werthner,et al.  Intelligent Systems in Travel and Tourism , 2003, IJCAI.

[72]  Robin Burke,et al.  Knowledge-based recommender systems , 2000 .

[73]  Tobias Höllerer,et al.  I’m feeling LoCo: A Location Based Context Aware Recommendation System , 2012 .

[74]  James R. Lewis,et al.  IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use , 1995, Int. J. Hum. Comput. Interact..

[75]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.