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Trust- and Location-Based Recommendations for Tourism
Annika Hinze and Qiu Quan
University of Waikato, New Zealanda.hinze@cs.waikato.ac.nz
quan.qiu.yz@gmail.com
Abstract. Recommender systems in a travel guide suggest touristic sites a user may like. Typically, people are more willing to trust recommendations from people they know. We present a trust-based recommendation service for a mobile tourist guide that uses the notion of directly and indirectly trusted peers. The recommendations combine information about the peers’ ratings on sights, interpersonal trust and geographical constraints. We created two trust propagation models to spread trust information throughout the traveller peer group. Our prototype supports six trust-based, location-aware recommendation algorithms.
LNCS 5870, p. 414 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2009