摘要
为在查询前预取用户可能访问的数据,提出了一种利用查询日志的数据空间预取方法。该方法从查询日志中提取意图特征,并采用聚类技术对其进行聚类,识别用户查询意图,并基于该意图预取查询结果。实验结果表明:该方法在预取准确率和查询效率方面均显著优于已有方法。
In order to prefetch the data that may be accessed by user before a query was posed,a novel prefetching method towards databaspace by exploiting query logs was proposed. Firstly,some intention features were extracted from the query logs,and the clustering technique was performed on the intention features. Secondly,the user query intention was identified. Finally,the query answers were prefetched according to the identified intention. The experimental results show that the proposed method can not only have a higher accuracy,but also improve the query efficiency,and it outperforms the existing methods.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2016年第2期236-241,共6页
Journal of Harbin Engineering University
基金
国家自然科学基金资助项目(61272185)
黑龙江省自然科学基金资助项目(F201238
F020510)
中央高校基本科研业务专项资金资助项目(HEUCFZ1219
HEUCF100608
HEUCF100613)
关键词
数据空间
预取
查询意图
聚类
查询日志
查询结果
预取准确率
查询效率
dataspace
prefetching
query intent
clustering
query logs
query answer
prefetch accuracy
query efficiency
