基于混合模式的网络超市商品推荐方法 |
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引用本文: | 温廷新,唐小龙,马龙梅.基于混合模式的网络超市商品推荐方法[J].现代情报,2013,33(12):45-51. |
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作者姓名: | 温廷新 唐小龙 马龙梅 |
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作者单位: | 辽宁工程技术大学工商管理学院, 辽宁 葫芦岛125105 |
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基金项目: | 辽宁省突发事件应急管理的多元化Is体系设计(项目编号:LT2010048);山东省突发事件多元应急信息系统研究与构建(项目编号:ZR2010FL012). |
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摘 要: | 在分析现有网络商品推荐算法的优缺点及主要问题的基础上,提出一种基于混合模式的网络超市商品推荐方法。其主要思想是:通过商品本体概念和属性构建商品子模型,采用基于内容的推荐算法填充用户——商品评分矩阵;依据用户背景信息、评分数据和查询关键字构建用户子模型,采用K均值算法进行用户聚类;利用基于用户的协同过滤产生推荐。实验表明,混合算法提供的推荐结果更加准确高效。
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关 键 词: | 个性化推荐 网络超市 混合模式 相似度 |
Online Supermarket Goods Recommendation Method Based on Mixed Mode |
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Authors: | Wen Tingxin Tang Xiaolong Ma Longmei |
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Institution: | College of Business Administration, Liaoning Technical University, Huludao 125105, China |
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Abstract: | Aftex analyzlng the advantages and disadvantages of the current recommendation algorithms and the main prob- lems of algorithms, the online supermarket goods recommendation method based on mixed mode had been put forward. In order to fill the user- rating- data matrix via adopting contem- based recommendation, this paper constructed commodity sub- model by using good ontology concepts and attributes of goods. In the same way, it constructed user sub - model by using lmelound infor- marion, rating data and query keywords of user to complete the k- means clustering. Then the results were generated by means of collaborative fiiterin~ algorithm. The experimental results suggested that hybrid algorithm revealed good performance. |
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Keywords: | personalized recommendation online supermarket mixed mode similarity |
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