An Adaptive Framework For Personalized Recommendation Algorithms

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.

关键词： personalized recommendation algorithm adaptive framework artificial neural networks

作者: Jianchang Tang Xinhuai Tang

作者单位: School of Software Engineering Shanghai Jiao Tong University Shanghai,China

会议类型: 国际会议

会议名称: 2014 International Conference on Cloud Computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)

会议地点: 长春

会议语种:英文

页码: 105-108

在线出版日期: 2014-12-13（万方平台首次上网日期，不代表论文的发表时间）