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C#/SQL实现基于项目评分预测的推荐算法

Algorithm of C#/SQL Accomplish Recommendation Based on Item Grading Prediction
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摘要 推荐系统是电子商务系统中最重要的技术之一,使用C#语言和SQL数据库也是网络系统中的常用模式。基于项目评分预测的协同过滤推荐算法,解决了传统相似性度量方法存在的问题,显著提高了推荐系统的推荐质量,同时给出了基于C#/SQL的推荐算法的具体实现方法。 Recommendation system is one of the most important technologies in E-commerce, C#, using a relational database with a SQL interface, is a popular model of Web-based application. The collaborative filtering algorithm based on item rating prediction, solves some questions in traditional similarity metric method, significantly increased the quality of recommendation. Also, it provides a C#/SQL method to implement the algorithm.
作者 娄建玮 刘红军 郑伟
机构地区 潍坊职业学院
出处 《职大学报》 2007年第4期22-23,共2页 Journal of the Staff and Worker’s University
关键词 C#/SQL 协同过滤 推荐算法 C#/SQL collaborative filtering recommendation algorithm
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献4

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二级参考文献13

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共引文献554

职大学报
2007年 第4期

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