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User satisfaction in long term group recommendations

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Quijano Sánchez, Lara and Recio García, Juan A. and Díaz Agudo, Belén (2011) User satisfaction in long term group recommendations. In Case-Based Reasoning Research and Development, ICCBR 2011. Lecture Notes in Artificial Intelligence , 6880 . Springer-Verlag Berlín, pp. 211-225. ISBN 978-3-642-23290-9

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Official URL: http://link.springer.com/content/pdf/10.1007%2F978-3-642-23291-6_17


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Abstract

In this paper we introduce our application HappyMovie, a Facebook application for movie recommendation to groups. This system takes advantage of social data available in this social network to promote fairness for the provided recommendations. Group recommendations are based in the individual satisfaction of each individual. The(in)satisfaction of users modifies the typical aggregation functions used to estimate the value of an item for the group. This paper proposes a memory of past recommendations to compute the satisfaction of users when similar items (movies, in this case) are recommended several times.


Item Type:Book Section
Additional Information:

© Springer Verlag Berlin Heidelberg 2011. International Conference on Case-Based Reasoning (19th. Sep 11-14, 2011. London, England). Supported by Spanish Ministry of Science & Education
(TIN2009-13692-C03-03) and Madrid Education Council and UCM (Group
910494).

Uncontrolled Keywords:Systems
Subjects:Sciences > Computer science
ID Code:20391
Deposited On:01 Aug 2013 07:51
Last Modified:07 Feb 2014 10:12

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