A novel ontology framework supporting model-based tourism recommender

<span lang="EN-US">In this paper, we present a tourism recommender framework based on the cooperation of ontological knowledge base and supervised learning models. Specifically, new ontology, which not only captures domain but also specifies entities in numerical vector space, is presented. The recommendation making process enables machine models to work directly with from training step deployment step. This can well classification (e.g., k-nearest neighbours, support machines, or naıve bayes). A prototype developed experimental results confirm feasibility proposed framework.</span>