| 1. | User modeling based on weighted concept network
基于加权概念网络的用户兴趣建模 |
| 2. | Users ' navigation data collecting methods
从商务网站用户行为数据提取用户兴趣 |
| 3. | Research on distributed web interest transfer pattern mining
用户兴趣迁移模式挖掘研究 |
| 4. | Users " browsing behaviors can reflect users " interests
分析了浏览行为对用户兴趣的体现。 |
| 5. | Users ' interest navigation patterns based on hidden markov model
基于隐马尔可夫模型的用户兴趣漂移模式发现方法 |
| 6. | A user interest model based on the analysis of user behaviors for personalization
个性化服务中基于行为分析的用户兴趣建模 |
| 7. | Intelligent information retrieval system based on user interest model - pcsice
基于用户兴趣模型的智能信息检索系统技术与实现 |
| 8. | The user ' s behaviors imply the set of web pages , which is interesting to the user
用户的浏览行为暗示了与用户兴趣相关的页面集合。 |
| 9. | Implicit behaviors are the main source behaviors in the estimation of users " interesting degree
间接行为是用户兴趣度估计的主要行为来源。 |
| 10. | The traditional user interest models are expanded by extending the user - interested - topics
通过挖掘用户感兴趣话题的外延特征扩展了传统的用户兴趣模型。 |
