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.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.identifier.uri | https://repository.cuk.ac.ke/handle/123456789/1760 | |
| 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 |