Document Re-ranking Based on Clique Model
Fu Jianbo · Zhongwen xinxi xuebao · 2009
Document re-ranking is an effective measure to meet the user's demand on high-precision information retrieval.This paper presents a document re-ranking model based on document clique,which is extracted from the document Markov network constructed form corpus.The incorporation of the document clique information into document re-ranking is proved valid with better precision than the BM25 model over adi,cacm,med,cisi and cran datasets.