User-Involved Preference Elicitation

  title={User-Involved Preference Elicitation},
  author={Pearl Pu and Boi Faltings and Marc Torrens},
When searching for multi-attribute services or products, understanding and representing user’s preferences is a crucial task. However, many computer tools do not afford users to adequately focus on fundamental decision objectives, reveal hidden preferences, revise conflicting preferences, or explicitly reason about tradeoffs with competing decision goals. As a result, users often fail to find the best solution. From building decision support systems for various application domains, we have… CONTINUE READING
Highly Cited
This paper has 101 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 41 extracted citations

Using prediction to provide decision support for the elicitation of user preferences

Canadian Conference on Electrical and Computer Engineering, 2005. • 2005
View 6 Excerpts
Highly Influenced

Elicitation of Preferences for Web Service Compositions

GI Jahrestagung • 2010
View 3 Excerpts
Highly Influenced

101 Citations

Citations per Year
Semantic Scholar estimates that this publication has 101 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 29 references

Algorithms for Online Vacation Planning

A. Jurca, P. Pu
Technical Report, Swiss Federal Institute of Technology, Lausanne. p • 2001
View 7 Excerpts
Highly Influenced

The (Minimal) Specialization CSP: A basis for Generalized Interactive Constraint Processing, in Proceedings of Workshop on User-Interaction in Constraint Processing at CP2001

J. Bowen
View 1 Excerpt

Similar Papers

Loading similar papers…