Serendipitous Personalized Ranking for Top-N Recommendation

Serendipitous recommendation has benefitted both e-retailers and users. It tends to suggest items which are both unexpected and useful to users. These items are not only profitable to the retailers but also surprisingly suitable to consumers' tastes. However, due to the imbalance in observed da...

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Vydané v:	2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 258 - 265
Hlavní autori:	Lu, Qiuxia, Chen, Tianqi, Zhang, Weinan, Yang, Diyi, Yu, Yong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2012
Predmet:	Accuracy Collaborative filtering Hands Logistics Mathematical models Matrix Factorization Measurement Optimization Predictive models Recommender systems Serendipity Training
ISBN:	9781467360579, 1467360570
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