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...

Celý popis

Podrobná bibliografia

Vydané v:	2010 5th International Conference on Computer Science and Education s. 366 - 370
Hlavní autori:	Yu-Xiao Zhu, Wei Zeng, Qian-Ming Zhang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2010
Predmet:	Accuracy Collaboration Collaborative Filtering Diversity Motion pictures Prediction algorithms Rating Variance Recommender systems Training
ISBN:	1424460026, 9781424460021
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!