Proceedings of the Workshop on Location-Aware Recommendations (LocalRec 2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys 2015)
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Moling, O; Baltrunas, L; Ricci, F (ACM, 2012)The very large majority of recommender systems are running as server-side applications, and they are controlled by the content provider, i.e., who provides the recommended items. This paper focuses on a different scenario: ...
Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems Braunhofer, M; Elahi, M; Ge, M; Ricci, F (Springer, 2014)Nowadays, Recommender Systems (RSs) play a key role in many businesses. They provide consumers with relevant recommendations, e. g., Places of Interest (POIs) to a tourist, based on user preference data, mainly in the form ...