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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Tri Quoc Truong
Van Lang University
Computer Science & IT Engineering

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A novel ontology framework supporting model-based tourism recommender Ho Quoc Dung; Lien Thi Quynh Le; Nguyen Huu Hoang Tho; Tri Quoc Truong; Cuong H. Nguyen-Dinh
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i4.pp1060-1068

Abstract

In this paper, we present a tourism recommender framework based on the cooperation of ontological knowledge base and supervised learning models. Specifically, a new tourism ontology, which not only captures domain knowledge but also specifies knowledge entities in numerical vector space, is presented. The recommendation making process enables machine learning models to work directly with the ontological knowledge base from training step to deployment step. This knowledge base can work well with classification models (e.g., k-nearest neighbours, support vector machines, or naıve bayes). A prototype of the framework is developed and experimental results confirm the feasibility of the proposed framework.
Co-Authors Cuong H. Nguyen-Dinh Ho Quoc Dung Lien Thi Quynh Le Nguyen Huu Hoang Tho