Statistical language models for information retrieval

Abstract

Statistical language models have recently been successfully applied to many information retrieval problems. A great deal of recent work has shown that statistical language models not only achieve superior empirical performance, but also facilitate parameter tuning and provide a more principled way, in general, for modeling various kinds of complex and non-traditional retrieval problems.