Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study

被引：0
|
作者：
Cremonesi, Paolo [1 ]
Garzotto, Franca [1 ]
机构：
[1] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy
来源：
E-COMMERCE AND WEB TECHNOLOGIES, EC-WEB 2013 | 2013年 / 152卷
关键词：
Recommender systems; E-tourism; Evaluation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Our research explores the influence of recommendations on the quality of the user experience (UX) in the e-tourism domain.. We are interested in the effects of smoothly introducing recommenders in existing commercial e-tourism system and to explore the benefits of recommendations in different conditions of availability of tourism services (which has a dynamic nature and typically depends on tourism flows in different seasons). The paper presents a wide empirical study (240 participants) that addresses the above issues and has been carried on in cooperation with a large hotel reservation provider (Venere. com - a company of Expedia Inc.).
引用
收藏
页码：174 / 181
页数：8
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