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The proximity of query terms in a document is a very important information to enable ranking models go beyond the "bag of word" assumption in information retrieval. This paper studies the integration of term proximity information into the unigram language modeling. A new proximity language model (PLM) is proposed which views query terms' proximity centrality as the Dirichlet hyper-parameter that weights the parameters of the unigram document language model. Several forms of proximity measuredoi:10.1145/1571941.1571993 dblp:conf/sigir/ZhaoY09 fatcat:4ywgnuawa5gbpeftckho2v54lq