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Open AccessArticle

Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism

1
Laboratoire d’Informatique de l’Université de Pau et des Pays de l’Adour, 64000 Pau, France
2
Math and Computer Information Sciences, Indiana Wesleyan University, Marion, IN 46953, USA
*
Author to whom correspondence should be addressed.
Current address: Université de Pau et des Pays de l’Adour/E2S UPPA, Laboratoire d’Informatique de l’Université de Pau et des Pays de l’Adour, EA3000, 64000 Pau, France.
ISPRS Int. J. Geo-Inf. 2019, 8(5), 230; https://doi.org/10.3390/ijgi8050230
Received: 12 March 2019 / Revised: 6 April 2019 / Accepted: 5 May 2019 / Published: 17 May 2019
(This article belongs to the Special Issue Open Science in the Geospatial Domain)
The cultural heritage of a region, be it a highly visited one or not, is a formidable asset for the promotion of its tourism. In many places around the world, an important part of this cultural heritage has been catalogued by initiatives backed by governments and organisations. However, as of today, most of this data has been mostly unknown, or of difficult access, to the general public. In this paper, we present research that aims to leverage this data to promote tourism. Our first field of application focuses on the French Pyrenees. In order to achieve our goal, we worked on two fronts: (i) the ability to export this data from their original databases and data models to well-known open data platforms; and (ii) the proposition of an open-source algorithm and framework capable of recommending a sequence of cultural heritage points of interests (POIs) to be visited by tourists. This itinerary recommendation approach is original in many aspects: it not only considers the user preferences and popularity of POIs, but it also integrates different contextual information about the user as well as the relevance of specific sequences of POIs (strong links between POIs). The ability to export the cultural heritage data as open data and to recommend sequences of POIs are being integrated in a first prototype. View Full-Text
Keywords: hybrid recommender systems; itinerary recommendation; context awareness; tourism recommendation hybrid recommender systems; itinerary recommendation; context awareness; tourism recommendation
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Rajaonarivo, L.; Fonteles, A.; Sallaberry, C.; Bessagnet, M.-N.; Roose, P.; Etcheverry, P.; Marquesuzaà, C.; Lacayrelle, A.L.P.; Cayèré, C.; Coudert, Q. Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism. ISPRS Int. J. Geo-Inf. 2019, 8, 230.

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