Adaptive tradeoff explanations in conversational recommenders


*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

7 Citations (Scopus)


The completeness and certainty of a user's preferences may vary during her preference construction process in a conversational recommender. In order to more effectively support users to uncover their hidden criteria and/or solve preference conflicts, we propose to generate adaptive tradeoff explanations in organization-based recommender interfaces, to be conditional on the user's contextual needs. An experiment shows the adaptive element's higher potential to improve recommendation efficiency, relative to methods without this feature.

Original languageEnglish
Title of host publicationRecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems
Number of pages4
Publication statusPublished - 2009
Event3rd ACM Conference on Recommender Systems, RecSys'09 - New York, NY, United States
Duration: 23 Oct 200925 Oct 2009

Publication series

NameRecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems


Conference3rd ACM Conference on Recommender Systems, RecSys'09
Country/TerritoryUnited States
CityNew York, NY

Scopus Subject Areas

  • Computer Science Applications
  • Software

User-Defined Keywords

  • Conversational recommenders
  • Explanation
  • Preference elicitation


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