Abstract
This paper investigates the effects of over and underestimation on the perceived Effectiveness (helpfulness) of recommender systems. We consider four different product along two dimensions, degree of objectivity and investment. Overestimation was considered more severely than underestimation with regard to perceived Effectiveness. Overestimation was also considered more severely in high investment domains compared to low investment domains. In addition, we surveyed the effect of different gaps between initial (initial impression) and final ratings (true estimate). We found that for gaps which remained in the negative half of the scale were considered less Effective than gaps which crossed over from good to bad (or from
bad to good), and gaps which remained in the positive half of the scale.
bad to good), and gaps which remained in the positive half of the scale.
Original language | English |
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Title of host publication | Workshop on Recommender Systems |
Subtitle of host publication | ECAI 2008, 18th European Conference on Artificial Intelligence, Proceedings |
Editors | Malik Ghallab, Constantine D. Spyropoulos, Nikos Fakotakis, Nikos Avouris |
Place of Publication | Greece |
Publisher | IOS Press |
Number of pages | 6 |
ISBN (Print) | 1586038915 , 978-1586038915 |
Publication status | Published - 31 Jul 2008 |
Event | 18th European Conference on Artificial Intelligence (ECAI 2008) - Patras, Greece Duration: 21 Jul 2008 → 25 Jul 2008 |
Conference
Conference | 18th European Conference on Artificial Intelligence (ECAI 2008) |
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Country/Territory | Greece |
City | Patras |
Period | 21/07/08 → 25/07/08 |
Bibliographical note
Workshop on Recommender Systems, 18th European Conference on Artificial IntelligenceKeywords
- Recommender systems
- explanations
- user studies