2013
DOI: 10.1002/asi.22934
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Investigating confidence displays for top‐N recommendations

Abstract: Recommendation systems often compute fixed length lists of recommended items to users. Forcing the system to predict a fixed length list for each user may result in different confidence levels for the computed recommendations. Reporting the system's confidence in its predictions (the recommendation strength) can provide valuable information to users in making their decisions. In this paper we investigate several different displays of the system's confidence to users and conclude that some displays are easier t… Show more

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Cited by 11 publications
(8 citation statements)
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References 25 publications
(23 reference statements)
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“…In conclusion, this study adds to previous contradictory results of confidence display studies. In some studies, confidence displays achieved no improvements or even some disadvantages [11,12,17]. Moreover, in today's navigation systems, which suffer the same problem, no confidence is given in the arrival time estimation.…”
Section: Discussionmentioning
confidence: 99%
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“…In conclusion, this study adds to previous contradictory results of confidence display studies. In some studies, confidence displays achieved no improvements or even some disadvantages [11,12,17]. Moreover, in today's navigation systems, which suffer the same problem, no confidence is given in the arrival time estimation.…”
Section: Discussionmentioning
confidence: 99%
“…The visualization of uncertainty information has already been an important topic in aviation [10] and for recommender systems [11]. Moreover, confidence displays gain importance in the automotive industry due to the ongoing development of advanced driving assistance functions.…”
Section: Confidence Displaysmentioning
confidence: 99%
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