An observational user study for group recommender systems in the tourism domain

Amra Delic (), Julia Neidhardt (), Thuy Ngoc Nguyen () and Francesco Ricci ()
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Amra Delic: TU Wien
Julia Neidhardt: TU Wien
Thuy Ngoc Nguyen: Free University of Bozen-Bolzano
Francesco Ricci: Free University of Bozen-Bolzano

Information Technology & Tourism, 2018, vol. 19, issue 1, No 5, 87-116

Abstract: Abstract In this article we argue and give evidence that the research on group recommender systems must look more carefully at the dynamics of group decision-making in order to produce technologies that will be truly beneficial for groups. We illustrate the adopted research method and the results of a user study aimed at observing and measuring the evolution of user preferences and interaction in a tourism decision-making task: finding a destination to visit together as a group. We discuss the benefits and caveats of such an observational study method and we present the implications that the derived data and findings have on the design of interactive group recommender systems.

Keywords: Group decision making; Group recommender systems; Observational study; Travel behavioral patterns (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s40558-018-0106-y

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