Abstract
This paper presents the design of an ontology based on user profile that allows personalizing guests' hotel rooms and services. The ontology being developed using NeON methodology, takes into consideration the maximum number of concepts associated with hotel guest profile and hotel room. The ontology will also provide a sound representation of comfort metrics for hotel rooms to support recommendation.
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CITATION STYLE
Ojino, R. O. (2020). Towards an ontology for personalized hotel room recommendation: Student research abstract. In Proceedings of the ACM Symposium on Applied Computing (pp. 2060–2063). Association for Computing Machinery. https://doi.org/10.1145/3341105.3374230
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