Recommendation based on Opportunistic Information Sharing between Tourists

; ; (). Recommendation based on Opportunistic Information Sharing between Tourists. Journal on Information Technology and Tourism (JITT), Vol. 10, Nr. 4. Peer reviewed.

We propose a new approach to collaborative filtering in mobile tourist information systems based on spatiotemporal proximity in social contexts. The approach is motivated by a survey of festival visitors confirming that similarities of interests extend beyond events defining specific social contexts. We show how opportunistic information sharing in mobile ad hoc networks can be used to realize decentralized collaborative filtering appropriate for mobile environments and show its equivalence to existing centralized approaches.