计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 276-278.doi: 10.11896/j.issn.1002-137X.2015.06.057
闫蓉,高光来
YAN Rong and GAO Guang-lai
摘要： 反馈文档的质量是制约伪相关反馈方法性能的主要因素。为了提高反馈文档的鲁棒性,提出一种基于最大边缘相关的伪相关反馈方法RMMR(Reorder Maximal Marginal Relevance)。该方法通过对查询初检结果进行重调序,使得排序后的前k个文档中,文档间的相似度最小且与查询相关的数目最大。最后,利用查询纯度将影响性能的候选扩展词剔除后进行二次查询。实验结果表明,该方法可以有效地提高反馈文档的鲁棒性。
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