e-TOURISM: A TOURIST RECOMMENDATION AND PLANNING APPLICATION

被引：50
|
作者：
Sebastia, Laura [1 ]
Garcia, Inma [1 ]
Onaindia, Eva [1 ]
Guzman, Cesar [1 ]
机构：
[1] Univ Politecn Valencia, Dpt Comp Sci, E-46071 Valencia, Spain
来源：
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 2009年 / 18卷 / 05期
关键词：
Recommendation; AI planning; tourism;
D O I：
10.1142/S0218213009000378
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
e-Tourism is a tourist recommendation and planning application to assist users on the organization of a leisure and tourist agenda. First, a recommender system offers the user a list of the city places that are likely of interest to the user. This list takes into account the user demographic classification, the user likes in former trips and the preferences for the current visit. Second, a planning module schedules the list of recommended places according to their temporal characteristics as well as the user restrictions; that is the planning system determines how and when to realize the recommended activities. Having the list of recommended activities organized as an agenda (i.e. an executable plan), is a relevant characteristic that most recommender systems lack.
引用
收藏
页码：717 / 738
页数：22
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