Semantic Recommender System for Touristic Context Based on Linked Data

被引：5
|
作者：
Cabrera Rivera, Luis [1 ]
Vilches-Blazquez, Luis M. [2 ]
Torres-Ruiz, Miguel [1 ]
Moreno Ibarra, Marco Antonio [1 ]
机构：
[1] Inst Politecn Nacl UPALM Zacatenco, Ctr Invest Comp, Mexico City 07320, DF, Mexico
[2] Univ Nacl Colombia, Bogota, DC, Colombia
来源：
INFORMATION FUSION AND GEOGRAPHIC INFORMATION SYSTEMS (IF&GIS' 2015): DEEP VIRTUALIZATION FOR MOBILE GIS | 2015年
关键词：
OF-THE-ART;
D O I：
10.1007/978-3-319-16667-4_5
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The lack of personalization presented in touristic itineraries that are offered by travel agencies involve a little flexibility. Basically, they are designed with the points of interest (POIs) that have more relevance in the area. On the other hand, there are POIs that have agreements with the agencies, which originate a excluding POIs that could be interesting for the tourist. In this work, a method capable to use the user preferences, like POIs and activities that user wants to realize during their vacations is proposed. Moreover, some weighted features such as the max distance that user wants to walk between POIs, and opinions of other users, coming from the web 2.0 by means of social media are taken into account. As result, a personalized route, which is composed of recommended POIs for the user and satisfied the user profile is provided.
引用
收藏
页码：77 / 89
页数：13
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