Recommendation Based on Opportunistic Information Sharing Between Tourists
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.
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Document Type: Research Article
Publication date: 2008-12-01
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- Information Technology & Tourism is the first scientific journal dealing with the exciting relationship between information technology and tourism. Information and communication systems embedded in a global net have profound influence on the tourism and travel industry. Reservation systems, distributed multimedia systems, highly mobile working places, electronic markets, and the dominant position of tourism applications in the Internet are noticeable results of this development. And the tourism industry poses several challenges to the IT field and its methodologies.