An Adaptive Framework for Personalized Recommendation Algorithms

被引：0
|
作者：
Tang, Jianchang [1 ]
Tang, Xinhuai [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Software Engn, Shanghai, Peoples R China
来源：
2014 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTERNET OF THINGS (CCIOT) | 2014年
关键词：
personalized recommendation algorithm; adaptive framework; artificial neural networks;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Different personalized recommendation algorithms are suitable for different scenarios. In this paper, we use artificial neural networks to implement an adaptive framework. When we add different recommendation algorithms into it and train it with the data from a given scenario, it can calculate the weight of each algorithm, choose suitable algorithms and give a more accurate prediction rating.
引用
收藏
页码：105 / 108
页数：4
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