Using gamification to tackle the cold-start problem in recommender systems

Sebastian Feil, Martin Kretzer, Karl Werder, Alexander Maedche

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Original language	English
Title of host publication	Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
Publisher	Association for Computing Machinery
Publication date	2016
Publication status	Published - 2016

Cite this

@inproceedings{1a9188d8437e4d89ad3aa61eac257cd5,

title = "Using gamification to tackle the cold-start problem in recommender systems",

author = "Sebastian Feil and Martin Kretzer and Karl Werder and Alexander Maedche",

year = "2016",

language = "English",

booktitle = "Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion",

publisher = "Association for Computing Machinery",

address = "United States",

}

Using gamification to tackle the cold-start problem in recommender systems. / Feil, Sebastian; Kretzer, Martin; Werder, Karl et al.
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion. Association for Computing Machinery, 2016.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Using gamification to tackle the cold-start problem in recommender systems

AU - Feil, Sebastian

AU - Kretzer, Martin

AU - Werder, Karl

AU - Maedche, Alexander

PY - 2016

Y1 - 2016

M3 - Article in proceedings

BT - Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion

PB - Association for Computing Machinery

ER -