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Towards a Hybrid Minimax Recommender for Free-Roaming Museum Visits

In: Strategic Innovative Marketing and Tourism

Author

Listed:
  • George Pavlidis

    (University Campus at Kimmeria)

Abstract

This paper presents a novel minimax hybrid recommender for free-roaming museum visits that is based on a new museum visit concept that was developed to capture the spatial, temporal and content-based dynamics during free-roaming museum visits. The complex hybrid recommender applies a minimax approach as it estimates an overall visitor dissatisfaction and aims its minimisation. As a result, it is able to develop optimal routes, as sequences of points of interest for each individual visitor. This hybrid recommender, still at its fine-tuning phase, has been tested in large scale simulations, using realistic data for visitors and exhibitions and has already shown to outperform the naive baseline recommender that relies on popularity.

Suggested Citation

  • George Pavlidis, 2019. "Towards a Hybrid Minimax Recommender for Free-Roaming Museum Visits," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Efstathios Kefallonitis & Apostolos Giovanis (ed.), Strategic Innovative Marketing and Tourism, pages 11-19, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-12453-3_2
    DOI: 10.1007/978-3-030-12453-3_2
    as

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