基于关联规则和协同过滤的网络商品捆绑方法研究  

Method Research of Network Product Bundling Based on Association Rules and Collaborative Filtering

作　　者：裘立波[1] 姜元春[1] 林文龙[1] 

机构地区：[1]合肥工业大学管理学院电子商务研究所,安徽合肥230009

出　　处：《计算机与现代化》2009年第9期1-4,共4页Computer and Modernization

基　　金：国家自然科学基金资助项目(70672097)

摘　　要：随着电子商务的发展,捆绑销售这种营销策略被逐渐应用于网站之中。本文将数据挖掘技术应用于商品捆绑,经过对数据的预处理,阐述如何利用关联规则实现对商品的捆绑,再通过协同过滤技术定位捆绑商品并向目标用户进行推荐。最后建立一个商品捆绑推荐系统体系结构以体现整个方法流程。With the development of e-commerce, marketing strategy of bundle sales is gradually applied to sites. In the paper, data mining technology is applied to the bundle sales. After data preprocessing, it notes that how to take advantage of association rules to complete product bundling, and locate the product bundling and recommend to the target users by collaborative filtering. Finally, a binding goods recommended system architecture is established to reflect the entire process method.

关 键 词：商品捆绑 数据预处理 关联规则 协同过滤 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]