A Journey Recommender System Using Crowd Attention Monitoring for Facilitating a Collaborative Visiting Experience
Authors: Rebecca Chen, Tina Ho, Raymund J. Lin
Abstract: Nowadays when people are visiting an exhibition or museum, the only available guidance is usually brochure or map, which shows location information statically. People are not able to get real-time situation of the exhibition or museum, such as which booth is currently popular. With the prevalence of mobile and social network, we can analyze people's booth visiting histories and provide valuable insights to users of a proposed journey recommender system. This presentation proposes a journey recommender system using crowd attention monitoring and dynamic route planning for facilitating a collaborative visiting experience. An exhibition case is used to demonstrate how the system works.
Keywords: Collaboration, Social, Recommendation System
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