Recommending Rides Psychometric Profiling in the Theme Park

Recommending Rides Psychometric Profiling in the Theme Park
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主题公园推荐游乐设施心理分析

DOI:
10.1145/1902593.1902600
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发表时间:
2010
期刊:
Computers in Entertainment
影响因子:
--
通讯作者:
Egglestone S
Egglestone S
中科院分区:
--
文献类型:
--
作者:
Egglestone S

文献摘要

相似文献

本文提出了一项研究,旨在通知主题公园游乐设施的推荐系统的设计。它探讨了心理测试的功效分析主题公园的游客,目的是建立一套措施,包括在一个合作的推荐系统中使用的游客配置文件。本文提出的结果突出了一些心理测量的预测价值,包括两个来自“大五”人格量表,一个来自“感觉寻求量表”。本文讨论了一般的研究挑战与心理测试到推荐系统的集成,并介绍了未来的工作计划的主题公园推荐系统。
This article presents a study intended to inform the design of a recommender system for theme park rides. It examines the efficacy of psychometric testing for profiling theme park visitors, with the aim of establishing a set of measures to be included in a visitor profile intended for use in a collaborative recommender system. Results presented in this article highlight the predictive value of a number of psychometric measures, including two drawn from the “Big Five” personality inventory, and one drawn from the “Sensation Seeking Scale”. The article discusses general research challenges associated with the integration of psychometric testing into recommender systems, and describes planned future work on a theme park recommender system.