Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH scholarly article en Hwang, Seung-won; Lee, Mu-Woong License
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URN: urn:nbn:de:0030-drops-19323


A Uncertainty Perspective on Qualitative Preference



Collaborative filtering has been successfully applied for predicting a person's preference on an item, by aggregating community preference on the item. Typically, collaborative filtering systems are based on based on quantitative preference modeling, which requires users to express their preferences in absolute numerical ratings. However, quantitative user ratings are known to be biased and inconsistent and also significantly more burdensome to the user than the alternative qualitative preference modeling, requiring only to specify relative preferences between the item pair. More specifically, we identify three main components of collaborative filtering-- preference representation, aggregation, and similarity computation, and view each component from a qualitative perspective. From this perspective, we build a framework, which collects only qualitative feedbacks from users. Our rating-oblivious framework was empirically validated to have comparable prediction accuracies to an (impractical) upper bound accuracy obtained by collaborative filtering system using ratings.

BibTeX - Entry

  author =	{Seung-won Hwang and Mu-Woong Lee},
  title =	{A Uncertainty Perspective on Qualitative Preference},
  booktitle =	{Uncertainty Management in Information Systems },
  year =	{2009},
  editor =	{Christoph Koch and Birgitta K{\"o}nig-Ries and Volker Markl and Maurice van Keulen},
  number =	{08421},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{},
  annote =	{Keywords: Collaborative filtering, qualitative preference, uncertainty}

Keywords: Collaborative filtering, qualitative preference, uncertainty
Seminar: 08421 - Uncertainty Management in Information Systems
Issue date: 2009
Date of publication: 2009

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