摘要
通过直接学习和反馈学习来挖掘智能搜索引擎用户的兴趣特征信息,并建立了兴趣特征库。提出了通过用户兴趣特征增量算法自动修改用户的兴趣特征权值。最后通过实例验证了用户兴趣特征模型在检索中应用的意义。
Intelligent search engine oriented user interest features were mined through direct and feedback study, and an interest feature - related database was established. User interest feature ascending algorithm was proposed to revise the rights of user interest features automatically. Finally, a case was employed to prove the importance of establishing user interest model.
出处
《盐城工学院学报（自然科学版）》
CAS
2008年第3期37-40,共4页
Journal of Yancheng Institute of Technology:Natural Science Edition
关键词
智能搜索引擎
用户兴趣特征
特征数据库
intelligent search engine, user interest feature, feature database
