Variations on language modeling for information retrieval

Abstract

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\ud each document as the probability that the query terms are generated by the document language model