摘要
智能推荐系统作为一种信息过滤的重要手段,是当前解决信息超载问题的重要途径,能有效解决电子商务网站中用户找不到满意商品,商家找不到正确促销对象的问题。本文介绍了美家365网上商城智能推荐系统的功能需求和系统架构,探讨了数据搜集、数据清理、数据预处理的过程,不仅满足了用户提出的需求,还对类似系统的开发有一定的参考价值。
Intelligent recommendation system, which is a important means of information filter, is an important way to solve the prob- lem of information overload. It can solve the issues of electronic commerce effectively. For example, users can not find satisfaction goods or businesses, nor can they find the right promotional objects. In the paper, the intelligent recommendation system of Meijia 365 online shopping mall is introduced from functional requirements to system architecture. Also the data collection process, data cleaning, data preprocessing are discussed. In short, the system not only meets the demand of the users, but also has certain reference value for the similar system.
出处
《北华航天工业学院学报》
CAS
2013年第2期1-3,共3页
Journal of North China Institute of Aerospace Engineering
基金
廊坊市科技局科技支撑计划项目(2012011011)
关键词
网上商城
智能推荐
研究
设计
online shopping mall
intelligent recommended
study
design
