Information Retrieval Models

Abstract

Information retrieval is currently an active research field with the evolution of World wide web. The objective of this chapter is to provide an insight into the information retrieval definitions, process, models. Further how traditional information retrieval has evolved and adapted for search engines is also discussed. The information retrieval models have not only been used for search purpose it also supports cross lingual translation and retrieval tasks. This chapter also outlines the CLIR process in a brief manner. The tools which are usually used for experimental and research purpose is also discussed. This chapter is organized as Introduction to the concepts of information retrieval. Description of the information retrieval process, the information retrieval models, the role of external sources like ontologies in information retrieval systems. Finally the chapter provides an overview of CLIR and the tools used in developing IR systems is mentioned. Further the latest research directions in IR is explained.

Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA

“…The major problem within the information retrieval field is the gap between the following couples: (information need, query), (query, index) and (corpus, index). Moreover, there are surely other problems of other necessary aspects such as: making the passage from data to information [16], the appropriate matching measure taking into account the semantic aspect [17], [18]. An additional issue to point out here is that there is a strong relation between the all these cited problems.…”