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

Published: 19 October 2007 Publication History

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.

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Cited By

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  • (2023)User Experience and the Role of Personalization in Critiquing-Based Conversational RecommendationACM Transactions on the Web10.1145/359749918:4(1-21)Online publication date: 18-May-2023
  • (2017)Investigating users’ eye movement behavior in critiquing-based recommender systemsAI Communications10.3233/AIC-17073730:3-4(207-222)Online publication date: 1-Jan-2017
  • (2012)Critiquing-based recommendersUser Modeling and User-Adapted Interaction10.1007/s11257-011-9108-622:1-2(125-150)Online publication date: 1-Apr-2012
  • Show More Cited By

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cover image ACM Conferences
RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems
October 2007
222 pages
ISBN:9781595937308
DOI:10.1145/1297231
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2007

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Author Tags

  1. example critiquing
  2. hybrid critiquing-based recommender systems
  3. preference-based recommendations organization
  4. user study

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RecSys07
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RecSys07: ACM Conference on Recommender Systems
October 19 - 20, 2007
MN, Minneapolis, USA

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

View all
  • (2023)User Experience and the Role of Personalization in Critiquing-Based Conversational RecommendationACM Transactions on the Web10.1145/359749918:4(1-21)Online publication date: 18-May-2023
  • (2017)Investigating users’ eye movement behavior in critiquing-based recommender systemsAI Communications10.3233/AIC-17073730:3-4(207-222)Online publication date: 1-Jan-2017
  • (2012)Critiquing-based recommendersUser Modeling and User-Adapted Interaction10.1007/s11257-011-9108-622:1-2(125-150)Online publication date: 1-Apr-2012
  • (2011)Consumer decision making in knowledge-based recommendationJournal of Intelligent Information Systems10.1007/s10844-010-0134-337:1(1-22)Online publication date: 1-Aug-2011
  • (2010)On the Evolution of Critiquing RecommendersRecommender Systems Handbook10.1007/978-0-387-85820-3_13(419-453)Online publication date: 5-Oct-2010
  • (2009)Consumer Decision Making in Knowledge-Based RecommendationActive Media Technology10.1007/978-3-642-04875-3_12(69-80)Online publication date: 22-Oct-2009
  • (2008)Web-Based Recommender Systems and User Needs --the Comprehensive ViewProceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems10.5555/1565754.1565780(243-258)Online publication date: 30-Jun-2008

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