The following chapter, entitled Complex Query Likelihood Retrieval Model, is devoted to extensions of the simple query likelihood model of Chapter 3.
the author reviews document-specific smoothing methods, based on document clustering and document expansion, the use of n-gram models and Markov random fields, as well as the full Bayesian query likelihood and the translation models.