Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users

Abstract

Traditional recommender systems suggest Cultural and Natural Heritage items to visitors by matching the target user to the available options, one-to-one. However, the increasing diffusion of informal activities and events, supported by location-based services such as Airbnb, extends personalized recommendation to a manyto-one match-making task. Airbnb experiences, which any citizen can propose to offer geographic tours and thematic activities, are composed of at least two entities to be evaluated: the former is the experience itself (in terms of topic, cost, etc.); the latter is the host, who directly interacts with guests during the management of the planned activities. As both entities can dramatically influence guests' perceptions, they should be jointly taken into account by recommender systems. This paper presents our preliminary work aimed at extending the personalized suggestion of Cultural Heritage items to such composite objects. CCS CONCEPTS• Information systems → Web searching and information discovery; Recommender systems.

International Workshop on Personalized Access to Cultural Heritage

“…They propose a preliminary privacy preservation model that can be adopted by CH institutions and which can be used in CH applications. • Mauro et al [5] explore the personalized recommendation of items related to the fruition of Natural Heritage. They leverage the data about the experiences offered in the Airbnb platform as a source of information about items.…”