Recommendation Based on Opportunistic Information Sharing Between Tourists

Abstract

We propose a new approach to collaborative filtering in mobile tourist information systems based on spatio-temporal proximity in social contexts. The approach is motivated by a survey of festival visitors confirming that similarities of interests extends beyond events defining specific social contexts. We show how opportunistic information sharing in mobile ad-hoc networks can be used to realise decentralised collaborative filtering appropriate for mobile environments and show its equivalence to existing centralised approaches. Mobile Information System, Spatio-Temporal Proximity, Copresence, Social Context, Opportunistic Sharing, Ad-hoc Networks, Collaborative Filtering