An object visit recommender supported in multiple visitors and museums

Abstract

Visiting a museum should be an apprised experience. However, for a part of the visitors, the experience can be disappointing in some aspect, either because of the vastness of the estate, leading to tiredness, or the inappropriateness of the presented objects for the consumer intentions. A solution is to endorse different arrangements according with the visitors individuality, e.g. expertise, previous behavior and actions, identified preferences, or age. M5SAR (Mobile Five Senses Augmented Reality System for Museums) project which aims at the development of an Augmented Reality system, consisting of a mobile application and a device/gadget, in order to explore the 5 human senses. This paper explores a solution supported in association rules to recommend which object a user should see. The method encloses other potentialities, also explored, such as the suggestion of which items to buy in the museums’ souvenir shops. The recommender uses data acquired from the M5SAR user’s account (e.g., expertise, seen objects, and bought objects) and from the mobile application usage (e.g., objects explored). Some tests were made using data adapted from public datasets.