一种基于CBR的个性化推荐算法

广西师范大学学报（自然科学版） ›› 2011, Vol. 29 ›› Issue (3): 151-156.

一种基于CBR的个性化推荐算法

卓广平¹, 孙静宇¹, 李鲜花², 余雪丽¹

1.太原理工大学计算机科学与技术学院,山西太原030024;
2.中国联通山西分公司,山西太原030021

收稿日期:2011-05-15 出版日期:2011-08-20 发布日期:2018-12-03
通讯作者: 孙静宇(1975—),男,山西岚县人,太原理工大学讲师,博士。E-mail:whitesunpersun@163.com
基金资助:
国家自然科学基金资助项目(60873139);山西省青年科技研究基金资助项目(200821024)

Personalized Recommendation Algorithm Based on CBR

ZHUO Guang-ping^1,2, SUN Jing-yu¹, LI Xian-hua², YU Xue-li¹

1.College of Computer Science and Technologies,Taiyuan University of Technology,Taiyuan Shanxi 030024,China;
2.China Unicom Company Limited,Shanxi Branch,Taiyuan Shanxi 030001,China

Received:2011-05-15 Online:2011-08-20 Published:2018-12-03

摘要/Abstract

摘要： 随着搜索引擎的快速发展,个性化搜索、社会化搜索已经成为搜索引擎发展的主要发展方向。本文针对用户搜索经验的再利用问题,探索个性化搜索算法。在简要介绍前期工作基础上,重点讨论了用户建模技术、检索案例以及案例排名等问题,提出了一种基于CBR的个性化推荐算法,并在ExpertRec推荐系统进行实验,结果表明,该算法推荐效果良好。

关键词: 个性化搜索, 推荐算法, 案例推理, 推荐系统

Abstract: The limited personalized services in current mainstream search engines often make users re-browse some web pages and even fail to find what they need.In this paper,a personalized recommendation algorithm based on CBR for reusing users' search experiences is proposed.Through discussing the modeling user profile,searching and ranking cases in detail,a personalized recommendation algorithm based on CBR (case-basedreasoning) is proposed based on users' search experience.The proposed algorithm isapplied in the web search recommendation system ExpertRec and good result are obtained.

Key words: personalized web search, recommendation algorithm, case-based reasoning, recommender system

中图分类号:

TP391.1

卓广平, 孙静宇, 李鲜花, 余雪丽. 一种基于CBR的个性化推荐算法[J]. 广西师范大学学报（自然科学版）, 2011, 29(3): 151-156.

ZHUO Guang-ping, SUN Jing-yu, LI Xian-hua, YU Xue-li. Personalized Recommendation Algorithm Based on CBR[J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(3): 151-156.

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