Context-Aware Recommendations in the Mobile Tourist Application COMPASS

By M. V. Setten, S. Pokraev, J. Koolwaaij. International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, 2004

445 citations recorded by the source corpus.

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Recommender Systems (2016, unknown): “Numerous tourist guide applications, such as INTRIGUE [52], GUIDE [156], MyMap [177], SPETA [213], MobiDENK [318], COMPASS [611], Archeoguide [618], and LISTEN [685], have been proposed in the literature.”
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices (2007, background): “guide [5] and commercial recommendation[6] are serviced by using context information (location, ID and time).”
A Bayesian Framework for Learning Rule Sets for Interpretable Classification (2017, background): “The setup of in-vehicle recommendation systems are also different than, for instance, mobile-tourism guides (Noguera et al., 2012; Schwinger et al., 2005; Van Setten et al., 2004; Tung and Soo, 2004) where the user is searching to accept a recommendation, and interacts heavily with the system in ord”
Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems (2015, background): “The setup of in-vehicle recommendation systems are also different than, for instance, mobile-tourism guides [34, 40, 43, 46] where the user is searching to accept a recommendation, and interacts heavily with the system in order to ﬁnd an acceptable recommendation.”