RecTour 2019:旅游推荐人研讨会

J. Neidhardt, W. Wörndl, T. Kuflik, M. Zanker, Catalin-Mihai Barbu
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引用次数: 8

摘要

2019年旅游推荐人研讨会(RecTour)与第13届ACM推荐系统会议(RecSys)同时举行,讨论了旅游领域推荐系统面临的具体挑战。在这篇综述文章中,我们总结了我们组织RecTour研讨会的动机,并介绍了我们收到的提交的主要主题。今年研讨会的主题包括情境感知推荐、团体推荐系统、酒店推荐、目的地描述、下一个poi推荐、用户交互和体验、偏好激发、用户建模以及机器学习算法在旅游推荐系统中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RecTour 2019: workshop on recommenders in tourism
The Workshop on Recommenders in Tourism (RecTour) 2019, which is held in conjunction with the 13th ACM Conference on Recommender Systems (RecSys), addresses specific challenges for recommender systems in the tourism domain. In this overview paper, we summarize our motivations to organize the RecTour workshop and present the main topics of the submissions that we received. The topics of this year's workshop include context-aware recommendations, group recommender systems, hotel recommendations, destination characterization, next-POI recommendation, user interaction and experience, preference elicitation, user modeling and application of machine learning algorithms in the context of tourism recommender systems.
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