The traditional blog retrieval which only focus on topical relevance is no longer satisfied by more and more blog
users. They might be interested to follow bloggers whose posts express in-depth thoughts and analysis on the reported
issues. This paper focuses on the problem of finding blogs that are relevant and in-depth about a user's query. We use LQtf
coefficient, which is a kind of pivoted normalization weighting coefficient, to analyze the posts in blogs. And the
effect of different kinds of in-depth analysis coefficient based on L-Qtf coefficient is also discussed. We propose an
improved framework of in-depth facet blog distillation system in order to obtain in-depth blog to the query and set up
experiments for comparison. Experimental results on the BLOG08 dataset show that the improved system is more
effective than the prior system in TREC 2009 blog track.