计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 479-483.
李卫疆,王锋
LI Wei-jiang and WANG Feng
摘要: 在信息检索应用实践中存在用户表达查询请求不够准确、文档与查询词不匹配以及查询优化等问题。针对这些问题,提出了基于概念树剪枝的 LCA 查询扩展方法,这种混合的查询扩展技术综合了语义和局部上下文分析这两种查询扩展方法,利用 LCA 方法检索得到的扩展词集对语义词典构造的概念树进行适当剪枝,以弥补概念树的不足,并对扩展词候选集用改进的算法重新分配权重。在 TREC 数据集的实验结果表明:与单独基于统计或者基于语义的查询扩展方法相比, 基于概念树剪枝的 LCA 查询扩展方法性能有较大提高。
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