摘要
针对当前农业问答系统中召回率较低的现状,研究了农业智能问答系统中的用户偏好问题,探讨了用户查询记录的挖掘和学习,用户兴趣模型的构建方法等问题。试验结果表明:该方法优化了检索过程,在基本保证查全率的前提下,提高了检索系统的查准率。
This paper deals with user profile in agricultural intelligent question-answer system.The development and study of querying records,construction method of user interest model,privacy protection of users,etc.were discussed.The results showed that the retrieval process was optimized,and precision was improved.
出处
《河北农业大学学报》
CAS
CSCD
北大核心
2011年第1期127-130,共4页
Journal of Hebei Agricultural University
关键词
本体
用户偏好
个性化检索
智能问答
ontology
user profile
personalized retrieva
intelligent question answering
