Recommender systems in a travel guide suggest touristic sites a user may like. Typically, people aremore 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. © Springer-Verlag 2009.
CITATION STYLE
Hinze, A., & Quan, Q. (2009). Trust- and location-based recommendations for tourism. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5870 LNCS, pp. 414–422). https://doi.org/10.1007/978-3-642-05148-7_31
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