Don't miss-R - Recommending restaurants through an adaptive mobile system

Dina Goren-Bar, Tsvi Kuflik

Research output: Contribution to conferencePaperpeer-review

Abstract

The present study compares an adaptive simulated cellular-phone based recommender system to a non-adaptive one, in order to evaluate user preferences with respect to system adaptivity. The results show that users prefer the adaptive system over the non adaptive one even after minimal interaction with the system.

Original languageEnglish
Pages250-252
Number of pages3
StatePublished - 1 Dec 2004
EventIUI 04: 2004 International Conference on Intelligent User Interfaces - Madeira, Portugal
Duration: 13 Jan 200416 Jan 2004

Conference

ConferenceIUI 04: 2004 International Conference on Intelligent User Interfaces
Country/TerritoryPortugal
CityMadeira
Period13/01/0416/01/04

Keywords

  • Adaptation
  • Evaluation
  • Learning
  • Mobile-devices
  • Recommender-systems

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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