Search engine technology builds on theoretical and empirical research results in the area of
information retrieval (IR). This dissertation makes a contribution to the field of language
modeling (LM) for IR, which views both queries and documents as instances of a unigram
language model and defines the matching function between a query and each document as
the probability that the query terms are generated by the document language model.