Towards an ontology for personalized hotel room recommendation: student research abstract

dc.contributor.author	Ojino, Ronald
dc.date.accessioned	2025-07-01T13:10:05Z
dc.date.available	2025-07-01T13:10:05Z
dc.date.issued	2020-03-30
dc.identifier.uri	https://repository.cuk.ac.ke/handle/123456789/1760
dc.description	Proceedings of the 35th Annual ACM Symposium on Applied Computing	en_US
dc.description.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	en_US
dc.description.sponsorship	Sponsored by SIGAPP Special Interest Group on Applied Computing	en_US
dc.language.iso	en	en_US
dc.publisher	Association for Computing Machinery New York, NY, United States	en_US
dc.title	Towards an ontology for personalized hotel room recommendation: student research abstract	en_US
dc.type	Working Paper	en_US