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Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems

  • Li Chen
  • Pearl Pu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)

Abstract

Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that may better interest the user. In this paper, we present a novel approach to assist users in making critiques according to their stated and potentially hidden preferences. This approach is derived from our previous work on critique generation and organization techniques. Based on a collection of real user data, we conducted an experiment to compare our approach with three existing critique generation systems. Results show that our preference-based organization interface achieves the highest level of prediction accuracy in suggesting users’ intended critiques and recommendation accuracy in locating users’ target choices. In addition, it can potentially most efficiently save real users’ interaction effort in decision making.

Keywords

Recommender systems user preference models critique generation organization decision support experiment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Li Chen
    • 1
  • Pearl Pu
    • 1
  1. 1.Human Computer Interaction Group, School of Computer and Communication Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL) 

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