Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
IEEE Transactions on Knowledge and Data Engineering
Mobile Social Software: Facilitating Serendipity or Encouraging Homogeneity?
IEEE Pervasive Computing
Efficient sampling of information in social networks
Proceedings of the 2008 ACM workshop on Search in social media
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Desparately Seeking Serendipity
Proceedings of the SIGCHI Conference 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
The path is the reward: considering social networks to contribute to the pleasure of urban strolling
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 6th International Conference on Communities and Technologies
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This paper describes ongoing work in developing social computing systems and services to support serendipitous real life experiences. The paper introduces the location-aware prototype service "GetLostBot", which uses the Foursquare API to longitudinally monitor a user's check-in locations and intervenes when they have fallen into a predictable routine. Interventions take the form of mysterious walking directions on a map to unknown destinations that challenge the user to take an explorative attitude and go into the unknown. Early results from a user trial suggest that while users are extremely positive about the ideas and concept of delivering serendipity through social computing, in this case there was low engagement with the actual suggested new experiences and activity. Despite this, the act of the intervention itself is reported to still have intrinsic value. This finding is discussed in terms of potential design issues around supporting serendipity in future systems.