针对web数据库近似查询产生的多查询结果问题,提出了一种近似查询结果自动排序方法,该方法利用KL距离(Kullback-Leibler distance),PIR(prohabilistic information retrieval)模型和查询历史(queryhistory)来构建元组排序打分函数;打分...
详细信息
针对web数据库近似查询产生的多查询结果问题,提出了一种近似查询结果自动排序方法,该方法利用KL距离(Kullback-Leibler distance),PIR(prohabilistic information retrieval)模型和查询历史(queryhistory)来构建元组排序打分函数;打分函数根据结果元组中被查询指定的属性值对初始查询的满足度和未被查询指定的属性值与用户偏好的相关度来评估元组的排序分值.实验证明,提出的排序方法能够较好地满足用户需求和偏好,并具有较高执行效率.
The popularity of the WWW has made people disseminate information very easy. The rele-vance of database concepts to the problems of managing and querying web information has led to a sig-nificant body of recent resear...
详细信息
The popularity of the WWW has made people disseminate information very easy. The rele-vance of database concepts to the problems of managing and querying web information has led to a sig-nificant body of recent research addressing these problems. In this paper ,we discuss some web databasetechniques in brief ,and give some advises about future working.
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