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An Interactive Recommender System for Group Holiday Decision-Making

  • Lanyun Zhang
  • Xu Sun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10919)

Abstract

Various types of applications are available on mobile devices that support the holiday decision-making of individual tourists. However, people often travel in groups and existing applications lack the services to support the decision-making of tourists who travel in a group. In group holiday decision-making, intra-group interaction plays a major role. In this work, we design an system that provides recommendations for tourist groups based on their travel preferecnes. Meanwhile, the system allows each group member to participate in the process of such recommendation through the design of interactive features. The recommendation mechanism is based on an ontology that describes the tourism-related information of a destination. This paper presents the design idea, the development of the system (including the ontology, the aggregation strategy, the recommendation mechanism, and the interactive features), and the preliminary findings of evaluating the user experience. The results show that the system facilitates the group holiday decision-making and provides users with an engaging experience.

Keywords

User interface Holiday decision-making Tourist group Recommender system Ontology Mobile devices EEG 

Notes

Acknowledgement

The authors would like to thank participants for the empirical study, the paper reviewers, and the support of International Doctoral Innovation Centre at the University of Nottingham, Ningbo, China. We also acknowledge the financial support from National Natural Science Foundation of China for a Grant awarded to the authors (Grant No. 71401085).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of NottinghamNingboChina

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