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Semantic User Model Inferences for Travel Recommender Systems
Abstract
This chapter proposes a semantic user model based on a description logic language to represent user’s knowledge and information, and a set of domain-dependent rules specific to the tourism domain in terms of spatial criteria (i.e., distance) and cognition to infer useful user features such as interests and preferences as important inputs for travel recommender systems (TRS). We also identify a spatial Web application scenario in the tourism domain, which is intended to provide personalized information about a variety of spatial entities in order to assist the user in traveling in an urban space.
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