Over- and underestimation in different product domains

Nava Tintarev; Judith Masthoff

Over- and underestimation in different product domains

Nava Tintarev, Judith Masthoff

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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.

Original language	English
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)
Country/Territory	Greece
City	Patras
Period	21/07/08 → 25/07/08

Bibliographical note

Workshop on Recommender Systems, 18th European Conference on Artificial Intelligence

Keywords

Recommender systems
explanations
user studies

Access to Document

http://www.csd.abdn.ac.uk/~jmasthof/Publications/ECAI08.pdf

Cite this

Over- and underestimation in different product domains. / Tintarev, Nava; Masthoff, Judith.
Workshop on Recommender Systems: ECAI 2008, 18th European Conference on Artificial Intelligence, Proceedings. ed. / Malik Ghallab; Constantine D. Spyropoulos; Nikos Fakotakis; Nikos Avouris. Greece: IOS Press, 2008.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Tintarev, N & Masthoff, J 2008, Over- and underestimation in different product domains. in M Ghallab, CD Spyropoulos, N Fakotakis & N Avouris (eds), Workshop on Recommender Systems: ECAI 2008, 18th European Conference on Artificial Intelligence, Proceedings. IOS Press, Greece, 18th European Conference on Artificial Intelligence (ECAI 2008) , Patras, Greece, 21/07/08. <http://www.csd.abdn.ac.uk/~jmasthof/Publications/ECAI08.pdf>

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title = "Over- and underestimation in different product domains",

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.",

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author = "Nava Tintarev and Judith Masthoff",

note = "Workshop on Recommender Systems, 18th European Conference on Artificial Intelligence ; 18th European Conference on Artificial Intelligence (ECAI 2008) ; Conference date: 21-07-2008 Through 25-07-2008",

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AU - Masthoff, Judith

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Y1 - 2008/7/31

N2 - 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.

AB - 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.

KW - Recommender systems

KW - explanations

KW - user studies

M3 - Published conference contribution

SN - 1586038915

SN - 978-1586038915

BT - Workshop on Recommender Systems

A2 - Ghallab, Malik

A2 - Spyropoulos, Constantine D.

A2 - Fakotakis, Nikos

A2 - Avouris, Nikos

PB - IOS Press

CY - Greece

T2 - 18th European Conference on Artificial Intelligence (ECAI 2008)

Y2 - 21 July 2008 through 25 July 2008

ER -

Over- and underestimation in different product domains

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this