Document (#36914)

Author
Melucci, M.
Title
Contextual search : a computational framework
Imprint
Boston, MA : Now Publ.
Year
2012
Pages
152 S
Isbn
978-1-60198-600-9
Series
Foundations and trends(r) in information retrieval; 6, 4/5
Abstract
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 Search: 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 by: placing it among other surveys on relevance, interaction, context, and behaviour; providing a description of the contextual variables used for implementing the statistical models which represent and predict relevance and contextual factors; and providing an overview of the evaluation methodologies and findings relevant to this subject. Contextual Search: 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.
Content
Table of contents 1. Introduction 2. Query Intent 3. Personal Interest 4. Document Quality 5. Contextual Search Evaluation 6. Conclusions Acknowledgements References A. Implementations
Theme
Semantisches Umfeld in Indexierung u. Retrieval

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