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Hybrid critiquing-based recommender systems

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

35 Citations (Scopus)

Abstract

We propose a novel critiquing-based recommender interface, the hybrid critiquing interface that integrates the user self-motivated critiquing facility to compensate for the limitations of system-proposed critiques. The results from our user study show that the integration of such self-motivated critiquing support enables users to achieve a higher level of decision accuracy while consuming less cognitive effort. In addition, users expressed higher subjective opinions of the hybrid critiquing interface than the interface simply providing system-proposed critiques, and they would more likely return to it for future use.

Original languageEnglish
Title of host publicationIUI '07
Subtitle of host publicationProceedings of the 12th international conference on Intelligent user interfaces
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages22-31
Number of pages10
ISBN (Print)9781595934819
DOIs
Publication statusPublished - 28 Jan 2007
Event12th International Conference on Intelligent User Interfaces, IUI 2007 - Honolulu, United States
Duration: 28 Jan 200731 Jan 2007
https://dl.acm.org/doi/proceedings/10.1145/1216295 (Conference Proceedings)

Publication series

NameProceedings of the international conference on Intelligent user interfaces

Conference

Conference12th International Conference on Intelligent User Interfaces, IUI 2007
Country/TerritoryUnited States
CityHonolulu
Period28/01/0731/01/07
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

  • Example critiquing
  • dynamic critiquing
  • recommender systems
  • decision support
  • user study

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