【摘要】 为了解决XML查询的信息过载问题,提出了基于条件偏好的XML多查询结果排序方法。该方法把用户指定的内容查询谓词作为上下文条件,然后在原始XML数据和查询历史上利用概率信息检索模型推测当前用户偏好,评估结果元素中被查询指定的属性单元值与未指定的属性单元值之间的关联关系以及未指定的属性单元值与用户偏好之间的相关程度,进而构建查询结果元素打分函数;在此基础上,利用打分函数计算结果元素的排序分值,并以此对查询结果进行排序。实验结果表明,提出的排序方法具有较高的排序准确性,能够较好地满足用户需求和偏好。更多还原

【Abstract】 To deal with the problem of information overload for XML data queries,this paper proposed a contextual preferences-based XML query results ranking approach.The value-based query predicates user specified are treated as the context,and then the probabilistic information model is used on the dataset and query history to speculate the user preferences,estimate the correlations between the specified and unspecified attribute unit values and the relevance between the unspecified attribute unit values and user preferences as well.Next,scoring function of query results is constructed and the ranking score which is computed by the scoring function is used to rank the query results.Results of experiments showed that the ranking approach proposed has high ranking accuracy and can meet the user needs and preferences as well.更多还原