Contextual Search: A Computational Framework

by Massimo Melucci

The growing availability of data in electronic form, the expansion of the World Wide Web and the accessibility of computational methods for large-scale data processing have allowed researchers in Information Retrieval (IR) to design systems which can effectively and efficiently constrain search within the boundaries given by context, thus transforming classical search into contextual search. Contextual A Computational Framework introduces contextual search within a computational framework based on contextual variables, contextual factors, and statistical models. It describes how statistical models can process contextual variables to infer the contextual factors underlying the current search context. It also provides background to the subject • placing it among other surveys on relevance, interaction, context, and behavior; • providing a description of the contextual variables used for implementing the statistical models which represent and predict relevance and contextual factors; • providing an overview of the evaluation methodologies and findings relevant to this subject. Contextual A Computational Framework is a highly recommended read, both for beginners who are embarking on research in this area and as a useful reference for established IR researchers.

184 pages, Paperback

First published October 8, 2012