| B2C网上购物推荐系统的设计与实现 |
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| 引用本文： | 刘旭东. B2C网上购物推荐系统的设计与实现[J]. 计算机应用与软件, 2009, 26(9): 195-197 |
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| 作者姓名： | 刘旭东 |
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| 作者单位： | 烟台职业学院软件工程学院,山东,烟台,264670 |
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| 摘 要： | 根据B2C网上购物的实际背景和目前推荐系统存在的不足,设计和实现了一个运用多种技术相结合的个性化网页推荐系统.这种推荐模型增强了推荐系统的实时性,提高了推荐服务的质量,从而提高了电子商务网站的交叉销售能力和网站商品的销售量.该系统所用的方法、处理过程和推荐形式,对于其他电子商务网站也都有一定的借鉴意义.
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| 关 键 词： | 网上购物 聚类 关联规则 协同过滤 个性化网页推荐 |
THE DESIGN AND IMPLEMENTATION OF RECOMMENDATION SYSTEM FOR B2C ONLINE SHOPPING |
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| Liu Xudong. THE DESIGN AND IMPLEMENTATION OF RECOMMENDATION SYSTEM FOR B2C ONLINE SHOPPING[J]. Computer Applications and Software, 2009, 26(9): 195-197 |
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| Authors: | Liu Xudong |
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| Affiliation: | Institute of Software Engineering;Yantai Vocational College;Yantai 264670;Shandong;China |
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| Abstract: | According to the background of B2C online shopping and the insufficiency of the recommendation system at present,one kind of individualized homepage recommendation system based on various techniques is designed and implemented,which improves the real-time performance of the recommendation algorithm and the quality of the recommendation service,thus the electronic commerce website overlapping sales ability and the website commodity sales volume is sharpened.These methods,the treating processes and the recomm... |
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| Keywords: | Online shopping Clustering Association rule Collaborative filtering Individualized webpage recommending |
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