美家365网上商城智能推荐系统研究与设计  

Intelligent Recommendation System in Meijia 365 Online Shopping Mall

作　　者：戚永军[1] 翟智平[2] 

机构地区：[1]北华航天工业学院网管中心,河北廊坊065000 [2]北华航天工业学院图书馆,河北廊坊065000

出　　处：《北华航天工业学院学报》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)

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.

关 键 词：网上商城 智能推荐 研究 设计 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]