University of Bahrain
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Tourism Destination Recommendation Using Ontology-based Conversational Recommender System

Show simple item record Baizal, Z.K.A. Tarwidi, D. Adiwijaya Wijaya, B. 2021-04-22T03:14:17Z 2021-04-22T03:14:17Z 2021-04-22
dc.identifier.issn 2210-142X
dc.description.abstract Traveling is one of the human psychological needs. Many choices and lack of information about desired tourist attractions are some of the obstacles in fulfilling the need. One of the technologies to overcome these obstacles is the recommender system which can provide recommendations for the users to choose some interesting tourist attractions from several tourist destinations. A conversational recommender system (CRS) offers a way of recommending tourist destinations in a conversational mechanism. We use ontology as a representation of knowledge to generate conversational interactions, recommendations, and explanation facilities. With this ontology-based CRS, we can overcome cold start problems, and also the system can guide the users to get the desired tourist attractions. In this study, we use a combination of navigation by asking (NBA) and navigation by proposing (NBP) strategy to generate interactions on the CRS. Based on the user study, in general, users find it helpful in finding tourist destinations that suit their needs. It is because the factor of trust and perceived ease of use comes from the interaction and explanation facilities contained in the system. Besides, perceived usefulness directly affects users' interest in utilizing this CRS interaction model in the future. en_US
dc.publisher University of Bahrain en_US
dc.rights CC0 1.0 Universal *
dc.rights.uri *
dc.title Tourism Destination Recommendation Using Ontology-based Conversational Recommender System en_US
dc.volume 10 en_US
dc.contributor.authorcountry Bandung, Indonesia en_US
dc.contributor.authoraffiliation School of Computing, Telkom University en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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