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Information Retrieval Models Foundations by Roelleke Thomas (15 results)
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Information Retrieval Models: Foundations & Relationships (Synthesis Lectures on Information Concepts, Retrieval, and Services)
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Information Retrieval Models : Foundations & Relationships
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Information Retrieval Models : Foundations & Relationships
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Information Retrieval Models: Foundations and Relationships (Synthesis Lectures on Information Concepts, Retrieval, and Services, 27)
Published by Morgan & Claypool Publishers, 2013
ISBN 10: 1627050787 ISBN 13: 9781627050784
Language: English
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Information Retrieval Models : Foundations & Relationships
Published by Springer International Publishing, Springer International Publishing, 2013
ISBN 10: 3031012003 ISBN 13: 9783031012006
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Information Retrieval (IR) models are a core component of IR research and IR systems. The past decade brought a consolidation of the family of IR models, which by 2000 consisted of relatively isolated views on TF-IDF (Term-Frequency times Inverse-Document-Frequency) as the weighting scheme in the vector-space model (VSM), the probabilistic relevance framework (PRF), the binary independence retrieval (BIR) model, BM25 (Best-Match Version 25, the main instantiation of the PRF/BIR), and language modelling (LM). Also, the early 2000s saw the arrival of divergence from randomness (DFR). Regarding intuition and simplicity, though LM is clear from a probabilistic point of view, several people stated: 'It is easy to understand TF-IDF and BM25. For LM, however, we understand the math, but we do not fully understand why it works.' This book takes a horizontal approach gathering the foundations of TF-IDF, PRF, BIR, Poisson, BM25, LM, probabilistic inference networks (PIN's), and divergence-basedmodels. The aim is to create a consolidated and balanced view on the main models. A particular focus of this book is on the 'relationships between models.' This includes an overview over the main frameworks (PRF, logical IR, VSM, generalized VSM) and a pairing of TF-IDF with other models. It becomes evident that TF-IDF and LM measure the same, namely the dependence (overlap) between document and query. The Poisson probability helps to establish probabilistic, non-heuristic roots for TF-IDF, and the Poisson parameter, average term frequency, is a binding link between several retrieval models and model parameters. Table of Contents: List of Figures / Preface / Acknowledgments / Introduction / Foundations of IR Models / Relationships Between IR Models / Summary & Research Outlook / Bibliography / Author's Biography / Index.
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Information Retrieval Models: Foundations and Relationships (Synthesis Lectures on Information Concepts, Retrieval, and Services, 27)
Published by Morgan & Claypool Publishers, 2013
ISBN 10: 1627050787 ISBN 13: 9781627050784
Language: English
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Add to basketPaperback. Condition: Brand New. 162 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand.
