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Serendipitous Fuzzy Item Recommendation with ProfileMatcher

Dell’Agnello, Danilo and Fanelli, Anna and Mencar, Corrado and Minervini, Massimo Serendipitous Fuzzy Item Recommendation with ProfileMatcher. In: Fuzzy Logic and Applications. Lecture Notes in Computer Science (6857). Springer, pp. 220-227. ISBN 978-3-642-23712-6 (2011)

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In this paper an approach to serendipitous item recommendation is outlined. The model used for this task is an extension of ProfileMatcher, which is based on fuzzy metadata describing both user and items to be recommended. To address the task of recommending serendipitous resources, a priori knowledge on the relations occurring among metadata values is injected in the recommendation process. This is achieved using fuzzy graphs to model similarity relations among the elements of the fuzzy sets describing the metadata. An experimentation has been carried out on the MovieLens data set to show the impact of serendipity injection in the item recommendation process.

Item Type: Book Section
Identification Number: 10.1007/978-3-642-23713-3_28
Additional Information: Proceedings of the 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 28 Feb 2013 12:15
Last Modified: 28 Feb 2013 12:15
URI: http://eprints.imtlucca.it/id/eprint/1494

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