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《Journal of Chongqing University of Technology(Natural Science)》 2015-01
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Research of Collaborative Filtering Recommendation Algorithm Fusion User Attributes in Government Purchase

LI Liang;ZHANG Hai-ning;LI Zong-bo;CHEN Jia-yu;Chongqing University of Technology;  
The traditional method to calculate the user's similarity had some disadvantages,which are that when making recommendation over the data sets that we have no preferences. According to the thoughts of Jaccard correlation,we considered user's attribute as the important factor,and we introduced this factor into the user similarity's calculation. And this is the new method we proposed( MPUBCF). The result indicates that MPUBCF has an advantage compared to the traditional method.It improves the performance of the recommendation system.
【Fund】: 重庆市应用开发计划项目“基于移动互联网的重庆特色文化产品协同创新信息支持系统关键技术研究”(cstc2013yykf A40002);; 重庆市巴南区科技计划专项项目“校企合作协同创新信息平台研制”(2012Q122)
【CateGory Index】: TP391.3
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