A location-aware recommender system for Tourism mobile commerce

With rapid development of the mobile commerce, exploring new applications and services for mobile environments has become a hot topic. In this paper we propose a location-aware recommender system for tourism mobile commerce service platform. Specifically, we integrate GPS into the recommender system to create a location-aware recommender system. The location-aware recommender system can recommend attractions to the customer with the customer's rating of attractions and the customer's sensitivity to location. We present the constructed approaches in this paper.

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

[2]  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.

[3]  Andy Hopper,et al.  A new location technique for the active office , 1997, IEEE Wirel. Commun..

[4]  A. Harter,et al.  A distributed location system for the active office , 1994, IEEE Network.

[5]  H. Werthner,et al.  Assisting Tourists on the Move- An Evaluation of Mobile Tourist Guides , 2008, 2008 7th International Conference on Mobile Business.

[6]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[7]  David J. Miller,et al.  A Maximum Entropy Approach for Collaborative Filtering , 2004, J. VLSI Signal Process..

[8]  Bill N. Schilit,et al.  The Parctab Ubiquitous Computing Experiment , 1994, Mobidata.

[9]  J. van Leeuwen,et al.  Intelligent Data Engineering and Automated Learning , 2003, Lecture Notes in Computer Science.

[10]  C. Carlsson,et al.  Travel MoCo– A Mobile Community Service for Tourists , 2008, 2008 7th International Conference on Mobile Business.