Personalization of Multi-day Round Trip Itineraries According to Travelers’ Preferences

Elif Erbil () and Wolfgang Wörndl ()
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Elif Erbil: Technical University of Munich
Wolfgang Wörndl: Technical University of Munich

A chapter in Information and Communication Technologies in Tourism 2022, 2022, pp 187-199 from Springer

Abstract: Abstract Travel planning is a long and tedious process for tourists since it requires processing a vast amount of information. Recommender systems can be used to facilitate the process of scoring points-of-interests (POIs) according to the travelers’ interests and creating feasible itineraries. However, itinerary planning is personal and each itinerary created must reflect the interest of the traveler as well as his/her travel style. In this paper, we extend the creation of multi-day round trip itineraries by adding different personalization options such as the pace of the traveler and diversity level of the route. The information about the travel style of the user is used to personalize the visiting duration of each POI and to create routes for each day that follow the constraints defined by users. We conducted a user study through a mobile application and the results show that the added personalization options improved the recommended multi-day round trip walking tours from a user’s perspective.

Keywords: Recommender systems; Tourist Trip Design Problem; Clustering; Diversity; Personalization; User study (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-94751-4_17

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DOI: 10.1007/978-3-030-94751-4_17

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