概念階層ネットワークを用いたレストラン推薦対話における情報検索方式

抄録

Information recommendation using UGC (User Generated Contents) systems has been paid much attention recently. Explainability and reliability are important for users easy to interpret the search results of a recommendation system. This paper proposes a hierarchical concept network that represents inferences based on evaluation criteria for recommendation in order to satisfy explainable recommendation. Futhermore, we also achieve reliable recommendation by restricting knowledge sources in generating the links between concept categories. We evaluate that our proposal method can generate explainable and reliable search results in some examples of restaurant information recommendation.