Abstract
Although abundant research work has been published in the area of path recommendation and its applications on travel and routing topics, scarce work has been reported on context-aware route recommendation systems aimed to stimulate optimal cultural heritage experiences. This paper tries to address this issue, by proposing a personalized and content adaptive cultural heritage path recommendation system, where location is modeled using mean-shift clustering trained with actual user movement patters. Additionally, topic modeling is incorporated to formalize the implicit cultural heritage content, while first order Markov models address the movement as a temporal transition aspect of the problem. The overall architecture is applied on data collected from actual visits to the archaeological sites of Gournia and Çatalhöyük and extensive analysis on visitor movement patterns follows, especially in comparison to the curated paths in the aforementioned sites. Finally, the offline evaluation results of the proposed recommendation scheme are encouraging, validating its efficiency and setting a positive paradigm for cultural heritage route recommendations.
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Notes
See also the Çatalhöyük Archive Reports 1993–2014 available at http://www.catalhoyuk.com/archive_reports/.
More specifically, participants agreed to the following; to be tracked by GPS devices during their visit to the archaeological sites, to take photos during this visit and hand them over to the survey conductor, and to fill in a questionnaire. They consented to the above knowing the following: (1) participation in this study is completely voluntary; (2) If they choose to be in this study, they may withdraw from it at any time without penalty or consequences of any kind, and they may request that any data collected be destroyed; (3) the survey results will be stored securely, remain confidential and will be disclosed only with their permission or as required by law; (4) all publications and other modes of data dissemination will anonymize participants; (5) in all cases, participants personal information will only be available to the research investigator who also conducted the survey.
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We would like to thank Prof. Ian Hodder, director of the Çatalhöyük Research Project, as well as the Ephorate of Antiquities at Lasithi, Greek Ministry of Culture, for the permission to conduct the visitor survey at the archaeological sites of Çatalhöyük and Gournia respectively.
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Alexandridis, G., Chrysanthi, A., Tsekouras, G.E. et al. Personalized and content adaptive cultural heritage path recommendation: an application to the Gournia and Çatalhöyük archaeological sites. User Model User-Adap Inter 29, 201–238 (2019). https://doi.org/10.1007/s11257-019-09227-6
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DOI: https://doi.org/10.1007/s11257-019-09227-6