Trust-based recommendations for mobile tourists in TIP
Qiu Quan, Annika Hinze · Research Commons (University of Waikato) · 2008
Abstract Recommender systems aim to suggest to users items they would like. However, concerns about the reliability of information from unknown recommenders influences user acceptance. In this paper, we analyse trust-based recommen-dations for the tourist information system TIP. We believe that the recommender strategy is closely related to the informa-tion domain applied. So, the delivered trust-based tourist rec-ommendations have combined peers ’ ratings on sights, trust computations and geographical constraints. We create two trust propagation models to spread trust in the TIP commu-nity. Three Trust-based and location-aware filtering algo-rithms are implemented. According to research on feasibil-ities of trust in recommendation fields, three collaborative fil-tering algorithms in TIP are improved by introducing the trust concept. 1