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Description
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The mediation chosen by a Cultural Heritage (CH) venue to transmit its message to the visitors has always been of primary importance. Indeed, this is through the lens of this mediation that visitors interpret, understand, reflect or learn about CH, having emotions, and building finally their own personal experience. Modern technologies seem to have an infinite potential to enhance this expe- rience, however it comes with its own challenges, the main ones being related to their integration within the mediation, mixing then technological with social issues. At the Luxembourg Institute of Science and Technology, the ADAPT (Know- ledge based and Context-aware Adaptive Systems) research group focuses on the adaptation of computer systems in cognitive environments and Cyber-Physical and Social Systems. Our experience in user modeling and personalisation (es- pecially personalised recommender systems) is applied to the cultural Heritage domain since 2015, in particular with participations to the FP7 Experimedia and H2020 CrossCult European projects (see, e.g. [7][8][3]). After having worked with humanity scientists, including museologists, built and experimented two smart museum guides embedding different user profiling approaches and recommen- dation algorithms, we are aware of the specificity and complexity of building efficient IT-supported mediation for Cultural Heritage venues. In this communication, we raise the main points related to this complex- ity, taking the perspective of Personalisation and more specifically personalised recommendations and guidance (2019-09-06)
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