ontology-based web service to recommend spare time activities
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.
recommender systems ontologies expert systems