| 基于Topsis思想的内容推荐算法研究 |
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| 引用本文： | 刘玲.基于Topsis思想的内容推荐算法研究[J].数学的实践与认识,2012,42(16):113-119. |
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| 作者姓名： | 刘玲 |
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| 作者单位： | 河南财经政法大学工商管理学院,河南郑州,450002 |
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| 摘 要： | 针对内容推荐系统中的瓶颈问题——特征表示问题,将特征属性进行了排序,并利用高斯函数获得产品的属性取值.进而借助Topsis中理想解与负理想解的思想定义了产品在各个属性上的相似性,并通过Topsis中属性间的可补偿性获得了产品间的相似度.
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| 关 键 词： | 推荐系统 基于内容推荐 Topsis方法 相似度 |
Research on Content-Based Recommendation Based on the Idea of Topsis |
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| LIU Ling.Research on Content-Based Recommendation Based on the Idea of Topsis[J].Mathematics in Practice and Theory,2012,42(16):113-119. |
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| Authors: | LIU Ling |
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| Institution: | LIU Ling (School of Administration,Henan University of Economics and Law,Zhengzhou 450002,China) |
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| Abstract: | Focused on the trouble of the features representation of merchandise in Content-based Recommendation system.In this paper,the features were ranked with their important. Meanwhile,with Gaussian function,the indexes of features were obtained.With the ideal solution and negative ideal solution of Topsis,the similarity of each feature of product was defined. Finally,the similarity between the products was get by the attribute of compensatory in Topsis method. |
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| Keywords: | recommender systems content-based recommendation topsis method similarity |
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