The effect of rating variance on personalized recommendation

Recommender systems have made significant progress over the last decade and several industrial-strength systems have been developed. Typically, recommender systems try to predict people's preferences and use accuracy indices such as mean absolute error to judge the performance of the algorithms...

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Veröffentlicht in:	2010 5th International Conference on Computer Science and Education S. 366 - 370
Hauptverfasser:	Yu-Xiao Zhu, Wei Zeng, Qian-Ming Zhang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2010
Schlagworte:	Accuracy Collaboration Collaborative Filtering Diversity Motion pictures Prediction algorithms Rating Variance Recommender systems Training
ISBN:	1424460026, 9781424460021
Online-Zugang:	Volltext
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