Personalization of Queries based on User Preferences

Authors Georgia Koutrika, Yannis Ioannidis



PDF
Thumbnail PDF

File

DagSemProc.04271.5.pdf
  • Filesize: 403 kB
  • 19 pages

Document Identifiers

Author Details

Georgia Koutrika
Yannis Ioannidis

Cite AsGet BibTex

Georgia Koutrika and Yannis Ioannidis. Personalization of Queries based on User Preferences. In Preferences: Specification, Inference, Applications. Dagstuhl Seminar Proceedings, Volume 4271, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)
https://doi.org/10.4230/DagSemProc.04271.5

Abstract

Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The underlying idea is that different users may find different things relevant to a search due to different preferences. Essential ingredients of query personalization are: (a) a model for representing and storing preferences in user profiles, and (b) algorithms for the generation of personalized answers using stored preferences. Modeling the plethora of preference types is a challenge. In this paper, we present a preference model that combines expressivity and concision. In addition, we provide algorithms for the selection of preferences related to a query and the progressive generation of personalized results, which are ranked based on user interest.
Keywords
  • Query personalization
  • user profiles
  • preferences

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail