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Artificial Intelligence Review
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ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
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UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
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EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
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ACM Transactions on Computer-Human Interaction (TOCHI)
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KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
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Expert Systems with Applications: An International Journal
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Information Sciences: an International Journal
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Geo topic model: joint modeling of user's activity area and interests for location recommendation
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Personalized product recommendations, generated by e-commerce recommender systems, can provide helpful information and decision support when users are overwhelmed by product alternatives. Although many successful Web-based recommender systems have been deployed, only a few have been designed for mobile users. Researchers at the Free University of Bozen-Bolzano created a critique-based recommendation methodology and applied it to the acquisition and revision of user preferences in a mobile recommender system. The approach has been implemented in a system that helps on-the-go travelers select their desired travel products. Results from user evaluations validated the system's functionality and usability. This article is part of a special issue on Recommender Systems.