Self-Organizing Maps
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Evaluating automatically generated location-based stories for tourists
CHI '08 Extended Abstracts on Human Factors in Computing Systems
The information flaneur: a fresh look at information seeking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Filter Bubble: What the Internet Is Hiding from You
The Filter Bubble: What the Internet Is Hiding from You
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models
ICPADS '11 Proceedings of the 2011 IEEE 17th International Conference on Parallel and Distributed Systems
Get lost: facilitating serendipitous exploration in location-sharing services
CHI '12 Extended Abstracts on Human Factors in Computing Systems
"get lost, GetLostBot!": annoying people by offering recommendations when they are not wanted
Proceedings of the 2012 RecSys workshop on Personalizing the local mobile experience
Proceedings of the 6th International Conference on Communities and Technologies
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Most (mobile) online map services focus on providing their users the most efficient route to their target location. In this paper we investigate the relationship between the physical and digital urban navigation to improve wayfinding for pedestrians by enhancing their experiences when strolling through a city. With our application "Space Recommender System" we describe a new wayfinding approach by implementing common digital online methods of commenting and recommender systems into the physical world, using voting data from social network services. Initial findings highlight the general importance of the walking experience to the public and suggest that implementing social media based recommendations in route finding algorithms enhance the pleasure of urban strolling. The initial user tests of the system in a real world context together with collected feedback and the observations throughout the design process stimulate the discussions of wider issues and highlight its potential for future novel wayfinding applications.