摘要
用户习惯用很少的关键字来检索所需的信息,这必然会导致出现用户所检索的信息与得到的信息有所偏差。针对这一现象,提出了基于互信息的问句语义扩展模型(QSE_BMI)。它的好处在于可以根据用户自己制定的兴趣模型和输入的查询问句,检索出与用户兴趣相匹配的并且符合用户需要的相关信息。
According to the phenomenon of users who are accustomed to use a few words to search the information they need on the internet. But people always can not find the exact information they need. The model of the query semantic expansion based on mutual information is proposed. It can not only find the corresponding information of the query but also find the related information according to the inte-resting of user＇s.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第1期163-166,共4页
Computer Engineering and Design
关键词
互信息
查询问句
用户兴趣模型
语义扩展
扩展词集
mutual information
query
user profile
semantic expansion
expansion-word set
