Weblogs are used to express knowledge and thoughts of many internet users. With the explosion of information in the weblog space, problems of information retrieval efficiency on weblog posts have been addressed. To provide users with their desired information more precisely, we propose a weblog retrieval algorithm based on the analysis of weblog topics. The proposed algorithm focuses on the
, which is one of the important characteristics in weblogs. Our method ranks weblog posts by using both interconnections of weblogs and relevance between weblog topics as well as a given user query in order to offer high-quality weblog information to users. In addition, we demonstrate that our method is more effective than the previous one for retrieving weblogs in terms of the real weblog dataset.