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 language | English |
|---|---|
| Title of host publication | RecSys '07 |
| Subtitle of host publication | Proceedings of the 2007 ACM conference on Recommender systems |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 169-172 |
| Number of pages | 4 |
| ISBN (Print) | 9781595937308 |
| DOIs | |
| Publication status | Published - 19 Oct 2007 |
| Event | 1st ACM Conference on Recommender Systems, RecSys 2007 - Minneapolis, United States Duration: 19 Oct 2007 → 20 Oct 2007 https://dl.acm.org/doi/proceedings/10.1145/1297231 (Conference Proceedings) |
Publication series
| Name | Proceedings of the ACM Conference on Recommender Systems |
|---|
Conference
| Conference | 1st ACM Conference on Recommender Systems, RecSys 2007 |
|---|---|
| Country/Territory | United States |
| City | Minneapolis |
| Period | 19/10/07 → 20/10/07 |
| Internet address |
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UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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