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The evaluation of a hybrid critiquing system with preference-based recommendations organization

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

8 Citations (Scopus)

Abstract

The critiquing-based recommender system mainly aims to guide users to make an accurate and confident decision, while requiring them to consume a low level of effort. We have previously found that the hybrid critiquing system of combining the strengths from both system-proposed critiques and user self-motivated critiquing facility can highly improve users' subjective perceptions such as their decision confidence and trusting intentions. In this paper, we continue to investigate how to further reduce users' objective decision effort (e.g. time consumption) in such system by increasing the critique prediction accuracy of the system-proposed critiques. By means of real user evaluation, we proved that a new hybrid critiquing system design that integrates the preference-based recommendations organization technique for critiques suggestion can effectively help to increase the proposed critiques' application frequency and significantly contribute to saving users' task time and interaction effort.

Original languageEnglish
Title of host publicationRecSys '07
Subtitle of host publicationProceedings of the 2007 ACM conference on Recommender systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages169-172
Number of pages4
ISBN (Print)9781595937308
DOIs
Publication statusPublished - 19 Oct 2007
Event1st ACM Conference on Recommender Systems, RecSys 2007 - Minneapolis, United States
Duration: 19 Oct 200720 Oct 2007
https://dl.acm.org/doi/proceedings/10.1145/1297231 (Conference Proceedings)

Publication series

NameProceedings of the ACM Conference on Recommender Systems

Conference

Conference1st ACM Conference on Recommender Systems, RecSys 2007
Country/TerritoryUnited States
CityMinneapolis
Period19/10/0720/10/07
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

  • Hybrid critiquing-based recommender systems
  • Preference-based recommendations organization
  • Example critiquing
  • User study

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