|
|||||
|
|
| 一种基于Web使用挖掘的个性化信息推荐系统实现方法 | |
| 引用本文： | 何英,何丹,聂承启.一种基于Web使用挖掘的个性化信息推荐系统实现方法[J].计算机与现代化,2008(7):36-39. |
| 作者姓名： | 何英 何丹 聂承启 |
| 作者单位： | 1. 南昌航空工业学院现代教育技术中心,江西,南昌,330063 2. 南昌航空工业学院计算机学院,江西,南昌,330063 3. 江西师范大学计算机信息工程学院,江西,南昌,330022 |
| 摘 要： | 为了提高基于Web使用挖掘的个性化信息推荐的有效性和效率，提出了将顺序模式和KP混合聚类遗传算法相结合的推荐策略，在Web日志预处理的基础上，设计出了一种基于Web使用挖掘的个性化信息推荐系统RSPIBOWUM的框架结构，并给出了基于这一框架结构的实现流程。结果表明，本推荐策略可以进行有效的个性化信息推荐，提高个性化信息推荐的效率。 |
| 关 键 词： | Web使用挖掘 个性化信息推荐 顺序模式 KP混合聚类遗传算法 |
An Implementation of Personal Information Recommendation System Based on Web Usage Mining |
|
| HE Ying,HE Dan,NIE Cheng-qi.An Implementation of Personal Information Recommendation System Based on Web Usage Mining[J].Computer and Modernization,2008(7):36-39. | |
| Authors: | HE Ying HE Dan NIE Cheng-qi |
| Affiliation: | HE Ying , HE Dan, NIE Cheng-qi ( 1. Modem Education Technology Center, Nanchang University of Aeronautics, Nanchang 330063 China; 2, Computer School Nanchang University of Aeronautics, Nanchang 330063, China; 3. School of Computer and Information Engineering, Jiangxi Normal University, Nanchang 330022, China) |
| Abstract: | In order to improve the validity and efficiency of recommendation system of personal information based on Web usage mining,the recommendation strategy that unifies sequence pattern and genetic algorithms is proposed.And the frame structure and realization flow of RSPIBOWUM based on the preprocessing of Web log data are given.The result indicated,this recommendation strategy may result in the effective personalized information recommendation and enhance its efficiency. |
| Keywords: | Web usage mining recommendation system of personal information sequential pattern KP mixed clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |