Universität zu Köln

Feil, Sebastian, Kretzer, Martin E., Werder, Karl ORCID: 0000-0001-8481-1596 and Maedche, Alexander ORCID: 0000-0001-6546-4816 (2016). Using Gamification to Tackle the Cold-Start Problem in Recommender Systems. In: CSCW'16 : proceedings & companion of the ACM Conference on Computer-Supported Cooperative Work and Social Computing : February 27-March 2, 2016, San Francisco, CA, USA, pp. 253-256. New York: Association for Computing Machinery. ISBN 9781450335928

Full text not available from this repository.

Item Type:	Book Section, Proceedings Item or annotation in a legal commentary
Translated abstract:	Abstract Language The cold start problem in recommender systems refers to the inability of making reliable recommendations if a critical mass of items has not yet been rated. To bypass this problem existing research focused on developing more reliable prediction models for situations in which only few items ratings exist. However, most of these approaches depend on adjusting the algorithm that determines a recommendation. We present a complimentary approach that does not require any adjustments to the recommendation algorithm. We draw on motivation theory and reward users for rating items. In particular, we instantiate different gamification patterns and examine their effect on the average user's number of provided report ratings. Our results confirm the positive effect of instantiating gamification patterns on the number of received report ratings. UNSPECIFIED
Creators:	Creators Email ORCID ORCID Put Code Feil, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Kretzer, Martin E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Werder, Karl UNSPECIFIED orcid.org/0000-0001-8481-1596 UNSPECIFIED Maedche, Alexander UNSPECIFIED orcid.org/0000-0001-6546-4816 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-98876
DOI:	10.1145/2818052.2869079
Title of Book:	CSCW'16 : proceedings & companion of the ACM Conference on Computer-Supported Cooperative Work and Social Computing : February 27-March 2, 2016, San Francisco, CA, USA
Page Range:	pp. 253-256
Date:	2016
Publisher:	Association for Computing Machinery
Place of Publication:	New York
ISBN:	9781450335928
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS) Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects:	Library and information sciences Social sciences Technology (Applied sciences)
Event Type:	Conference
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/9887