Off the beaten track: a mobile field study exploring the long tail of tourist recommendations

Nava Tintarev, Ana Flores, Xavier Amatriain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

This paper presents a field study of a framework for personalized
mobile recommendations in the tourism domain,of sight-seeing Points of Interest (POI). We evaluate the effectiveness, satisfaction and divergence from popularityof a knowledge-based personalization strategy comparing it to recommending most popular sites. We found that participants visited more of the recommended POIs for listswith popular but non-personalized recommendations. Incontrast, the personalized recommendations led participantsto visit more POIs overall and visit places “off the beatentrack”. The level of satisfaction between the two conditions
was comparable and high, suggesting that our participants were just as happy with the rarer, “off the beaten track” recommendations and their overall experience. We conclude that personalized recommendations set tourists into a discovery mode with an increased chance for serendipitous findings, in particular for returning tourists.
Original languageEnglish
Title of host publication MobileHCI '10 12th International Conference on Human Computer Interaction with Mobile Devices and Services
Place of PublicationNew York
PublisherACM Press
Pages209-218
Number of pages10
ISBN (Print)978-1-60558-835-3
DOIs
Publication statusPublished - 2010
Event12th International Conference on Human-Computer Interaction with Mobile Devices and Services - Lisbon, Portugal
Duration: 7 Sep 201010 Sep 2010

Conference

Conference12th International Conference on Human-Computer Interaction with Mobile Devices and Services
CountryPortugal
CityLisbon
Period7/09/1010/09/10

Cite this

Tintarev, N., Flores, A., & Amatriain, X. (2010). Off the beaten track: a mobile field study exploring the long tail of tourist recommendations. In MobileHCI '10 12th International Conference on Human Computer Interaction with Mobile Devices and Services (pp. 209-218). ACM Press. https://doi.org/10.1145/1851600.1851636