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Enhancing the Quality of Recommendations through Expert and Trusted Agents.

, , , and . ICTAI, page 329-335. IEEE Computer Society, (2011)

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An Architecture for a Multiagent Recommender System in Travel RecommendationScenarios, , and . ECAI Workshop on Recommender Systems, 1, page 88-91. (2006)MathReader: API for Handwritten Mathematical Expressions Recognition., and . ICTAI, page 1282-1289. IEEE, (2020)Case-Based Recommender Systems: A Unifying View., and . ITWP, volume 3169 of Lecture Notes in Computer Science, page 89-113. Springer, (2003)Identifying Similar Users by their Scientific Publications to Reduce Cold Start in Recommender Systems., , , , , and . WEBIST, page 593-600. INSTICC Press, (2009)Comparing keywords and taxonomies in the representation of users profiles in a content-based recommender system, , , , and . SAC '08: Proceedings of the 2008 ACM symposium on Applied computing, page 2030--2034. New York, NY, USA, ACM, (2008)Using Scientific Publications to Identify People with Similar Interests., , , , , and . WEBIST (Selected Papers), volume 45 of Lecture Notes in Business Information Processing, page 229-241. Springer, (2009)A Trust Model for Multiagent Recommendations, , , , , and . Journal of Emerging Technologies in Web Intelligence, 2 (4): 310-318 (2010)Multiagent Truth Maintenance Applied in a Tourism Recommender System, , and . IGI Global, Hershey, (2009)Case-based recommender systems: A unifying view, , , and . In: Intelligent Techniques in Web Personalisation. LNAI. Springer-Verlag, page 89--113. Springer Verlag, (2005)PersonalTour: A Recommender System for Travel Packages., , and . IAT, page 333-336. IEEE Computer Society, (2011)978-0-7695-4513-4.