<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8720</REFNUM><AUTHORS><AUTHOR>Azzopardi,L.</AUTHOR><AUTHOR>Roelleke,T.</AUTHOR></AUTHORS><YEAR>2007</YEAR><TITLE>An Alternative Formulations of Relevance within the Language Modeling framework</TITLE><PLACE_PUBLISHED>The proceedings of the International Conference in Theory of Information Retrieval</PLACE_PUBLISHED><PUBLISHER>N/A</PUBLISHER><PAGES>125--134</PAGES><LABEL>Azzopardi:2007:8720</LABEL><KEYWORDS><KEYWORD>Language Models</KEYWORD></KEYWORDS<ABSTRACT>Whilst the event of relevance is central to the Binary Independence Retrieval model, Language Modeling focuses on the estimation of the document model. In this paper, we review the different approaches, which attempt to relate the relevance event to Language Modeling approach. The main contribution of this work is an alternative formulation that relates the relevance and language modeling in a sound probabilistic framework. This leads to valuable insights into the application of Language Modeling to Information Retrieval, including how the approach handles (or not) relevance information and how to extend the model to capture relevance.</ABSTRACT></RECORD></RECORDS></XML>