关键词: 民航附加服务, 推理机, 语义相似度, 协同过滤

Abstract:

Personalized ontology -based collaborative filtering algorithm is proposed, aiming at the short -comings of traditional collaborative filtering algorithm such as data -sparsity and lack of reflection to the semantic relationship of item itself. The method adopts Jena inference engine and constructs association rules based on
ontology inference rules, and inference results are used to update ontology and complete the interest rating information of tourist to reduce the sparsity of tourist interest rating. Then the ontology semantic similarity is introduced to compute and combine the similarity of semantics and the similarity of collaborative filtering algorithm,improving the accuracy of similarity calculation after adding semantic similarity computation between items. Experiments prove that the hybrid recommendation technology effectively improves its accuracy.

Key words: auxiliary service of civil aviation, Jena, semantic similarity, collaborative filtering