Student Research Abstract: Towards an Ontology for Personalized Hotel Room Recommendation

被引：1
|
作者：
Ojino, Ronald Ochieng [1 ]
机构：
[1] Univ Dar Es Salaam, Dept Comp Sci, Dar Es Salaam, Tanzania
来源：
PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20) | 2020年
关键词：
Ontology; NeON methodology; semantics; comfort metrics;
D O I：
10.1145/3341105.3374230
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2060 / 2063
页数：4
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