旅游团体推系统:人格如何预测对景点的偏好,旅行动机,偏好和关注?
Patrícia Alves1,2, Helena Martins3, Pedro Saraiva4
1ALGORITMI Research Centre/LASI, University of Minho, Guimarães, Portugal.
概括
人格特征显著影响游客的偏好和动机. 了解五大个性维度可以增强个性化的旅行建议,并解决旅游推系统中的群体冲突.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 旅游学研究 旅游学研究
背景情况:
- 个性化推对于休旅行至关重要,但由于偏好冲突,对团体来说具有挑战性.
- 传统的推系统 (RS) 面临着冷启动问题,并与异质的用户群体作斗争.
- 人格计算和人格意识的RS通过将人格与偏好联系起来,提供了潜在的解决方案.
研究的目的:
- 调查五大个性维度和旅游者偏好之间的关系.
- 确定个性如何预测旅游景点的选择,旅行动机和关注点.
- 为RS的游客自动建模提供基础,解决冷启动和偏好冲突.
主要方法:
- 使用了探索性和确认性因素分析.
- 数据是通过在线问卷从1035个葡萄牙个人收集的.
- 参与者代表了不同的教育背景和年龄组.
主要成果:
- 发现所有五个人格维度都能预测旅游景点的选择.
- 人格维度也预测出行相关的偏好和担忧.
- 神经主义和开放性独特地预测了旅行动机.
结论:
- 人格是游客行为和偏好的一个强有力的预测因素.
- 人格意识的RS可以显著改善个性化的旅行建议.
- 这项研究提供了一种自动建模游客的方法,克服了传统RS的局限性.
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