SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities

被引：123

作者：

Moreno, Antonio ^{[1
]}

Valls, Aida ^{[1
]}

Isern, David ^{[1
]}

Marin, Lucas ^{[1
]}

Borras, Joan ^{[2
]}

机构：

[1] Univ Rovira & Virgili, Dept Engn Informat & Matemat, ITAKA, Tarragona 43007, Catalonia, Spain

[2] Sci & Technol Pk Tourism & Leisure, Vila Seca 43480, Catalonia, Spain

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2013年 / 26卷 / 01期

关键词：

Recommender system; Tourism; Ontology; Collaborative filtering; Management of user profile; SYSTEM; AGENT; MULTIAGENT;

D O I：

10.1016/j.engappai.2012.02.014

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

SigTur/E-Destination is a Web-based system that provides personalized recommendations of touristic activities in the region of Tarragona. The activities are properly classified and labeled according to a specific ontology, which guides the reasoning process. The recommender takes into account many different kinds of data: demographic information, travel motivations, the actions of the user on the system, the ratings provided by the user, the opinions of users with similar demographic characteristics or similar tastes, etc. The system has been fully designed and implemented in the Science and Technology Park of Tourism and Leisure. The paper presents a numerical evaluation of the correlation between the recommendations and the user's motivations, and a qualitative evaluation performed by end users. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：633 / 651

页数：19

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