J4 ›› 2010, Vol. 28 ›› Issue (06): 563-.

• 论文 • 上一篇    下一篇

语义环境下个性化推荐系统建模

陈 燕|牟向伟   

  1. 大连海事大学 交通运输管理学院|辽宁 大连 116026)
  • 出版日期:2010-11-27 发布日期:2010-12-24
  • 通讯作者: 陈燕(1952— ),女,辽宁大连人,大连海事大学教授,博士生导师,主要从事数据挖掘与知识发现研究,(Tel)86-411-84725286 E-mail:xiangwei.mu@gmail.com。
  • 作者简介:陈燕(1952— )|女|辽宁大连人|大连海事大学教授|博士生导师|主要从事数据挖掘与知识发现研究|(Tel)86-411-84725286(E-mail) xiangwei.mu@gmail.com。
  • 基金资助:

    国家高等学校博士学科点专项科研基金资助项目(200801510001);国家自然科学基金资助项目(70801007)

Personalized Recommendation System Modeling in Semantic Web

CHEN Yan| MU Xiang-wei   

  1. College of Transportation Management, Dalian Maritime University, Dalian 116026|China
  • Online:2010-11-27 Published:2010-12-24

摘要:

为解决现有个性化推荐系统中缺乏对语义信息处理能力的问题,建立了语义推荐系统模型,使用描述逻辑实现了该模型,并给出了推荐算法。在实现模型的过程中引入了两条规则实现了概念层次关系在兴趣程度和关联程度上的传递。实验证明,通过将用户的兴趣和待选资源的相关概念在语义层面进行适当扩展,语义推荐系统模型能产生更多符合用户兴趣的推荐项目。

关键词: 个性化推荐, 述逻辑, 系统建模

Abstract:

In order to solve the inability of personalized recommendation system on the semantic information processing, the semantic recommendation system model was built, which can descript the semantic sence in users interest information. A kind of recommendation algorithm was also proposed to calculate the relationship between users and resource. Description logic was used to apply the model in a special domain, two rules was introduced to achieve the ability of interest transmission between different level of semantic concepts both in user profiles and resource profiles. The experiment shows that semantic recommendation system model could produce more related results for particular user than classic methods, it can discovery more new interest which is implicated in the interest concepts.

Key words: personalized recommendation, description logic, system modeling

中图分类号: 

  • TN301.2