Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
IEEE Transactions on Knowledge and Data Engineering
Content-based music filtering system with editable user profile
Proceedings of the 2006 ACM symposium on Applied computing
Ontological User Profiles for Representing Context in Web Search
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Supporting the Development of Mobile Adaptive Learning Environments: A Case Study
IEEE Transactions on Learning Technologies
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The number of people that use Internet as a source of information increases continuously. Internet provides a great amount of heterogeneous information. When interacting with the Web, not all the users have the same goals, interests or needs. This paper presents a recommender system for spare time activities (such as visiting museums, restaurants, conferences, etc.). It suggests the most suitable options taking into account the personal features of each user, that is, his/her preferences, economic resources, available time and disabilities. Furthermore, it provides the means of public transport to arrive at the place where the activity will be performed. The results of a case study focused on Mostoles city are presented too.