Personalization Approaches for Cultural Heritage Study


  • Emanuela Mitreva Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
  • Alexandra Nikolova Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
  • Vladimir Georgiev Computer Science Department, American University in Bulgaria, Blagoevgrad, Bulgaria
  • Ani Gigova Private Primary School "Pitagor", Sofia, Bulgaria



Personalization, Adaptive Methods, Web Usage Mining, Contentbased Filtering, Cultural Heritage


In this paper, we review different approaches of providing personalization for cultural heritage content – several static and adaptive approaches, and recommendation systems. The purpose of our research is to compare these methods, evaluate their feasibility for certain types of applications in the field. We outline the needs for personalized experience involving cultural heritage content and describe how those needs are addressed by the different approaches, and point the challenges, benefits, and disadvantages of each of these methods.


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How to Cite

Mitreva, E., Nikolova, A., Georgiev, V., & Gigova, A. (2023). Personalization Approaches for Cultural Heritage Study. Digital Presentation and Preservation of Cultural and Scientific Heritage, 13, 181–188.

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