A recommendation framework towards personalized services in intelligent museum

Shandan Zhou, Xingshe Zhou, Zhiwen Yu, Kaibo Wang, Haipeng Wang, Hongbo Ni

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Museum visitors are being overloaded with increasing amount and variety of information that heavens their burden to locate what is really interesting. Development of personalized service for museum visitors makes a promising effort to alleviate the problem. In this paper, a recommendation framework and the related algorithms are proposed for intelligent museum. Using both the explicit and implicit visit behaviors data, preference learning algorithm computes the preference of a visitor in exhibits. Exhibit recommendation algorithm takes a visitor's preference and the public evaluation history on exhibits into account in the pre-selection and refinement of recommended exhibits. We implemented the recommendation framework based on our previously developed smart museum platform, iMuseum. The effectiveness of the proposed framework and algorithms are verified through experiments.

源语言英语
主期刊名Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
229-236
页数8
DOI
出版状态已出版 - 2009
活动7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 - Vancouver, BC, 加拿大
期限: 29 8月 200931 8月 2009

出版系列

姓名Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
2

会议

会议7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
国家/地区加拿大
Vancouver, BC
时期29/08/0931/08/09

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