Thomas roelleke (26 risultati)
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Taschenbuch. Condizione: 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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Condizione: 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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Taschenbuch. Condizione: Neu. Information Retrieval Models | Foundations & Relationships | Thomas Roelleke | Taschenbuch | Synthesis Lectures on Information Concepts, Retrieval, and Services | xxi | Englisch | 2013 | Springer | EAN 9783031012006 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121…Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Advances in Information Retrieval : 32nd European Conference on Ir Research, Ecir 2010 Milton Keynes, Uk, March 28-31, 2010
Gurrin, Cathal (EDT); He, Yulan (EDT); Kazai, Gabriella (EDT); Kruschwitz, Udo (EDT); Little, Suzanne (EDT)
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Advances in Information Retrieval : 32nd European Conference on Ir Research, Ecir 2010 Milton Keynes, Uk, March 28-31, 2010
Gurrin, Cathal (EDT); He, Yulan (EDT); Kazai, Gabriella (EDT); Kruschwitz, Udo (EDT); Little, Suzanne (EDT)
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Advances in Information Retrieval : 32nd European Conference on Ir Research, Ecir 2010 Milton Keynes, Uk, March 28-31, 2010
Gurrin, Cathal (EDT); He, Yulan (EDT); Kazai, Gabriella (EDT); Kruschwitz, Udo (EDT); Little, Suzanne (EDT)
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Advances in Information Retrieval : 32nd European Conference on Ir Research, Ecir 2010 Milton Keynes, Uk, March 28-31, 2010
Gurrin, Cathal (EDT); He, Yulan (EDT); Kazai, Gabriella (EDT); Kruschwitz, Udo (EDT); Little, Suzanne (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010. Proceedings (Lecture Notes . Applications, incl. Internet/Web, and HCI)
Gurrin, Cathal (Editor) / He, Yulan (Editor) / Kazai, Gabriella (Editor) / Kruschwitz, Udo (Editor) / Little, Suzanne (Editor) / Roelleke, Thomas (Editor) / Rüger, Stefan (Editor) / van Rijsbergen, Keith (Editor)
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Paperback. Condizione: Brand New. 677 pages. 9.30x6.10x1.00 inches. In Stock.
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Da: moluna, Greven, Germaniamoluna
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EUR 120,75
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Condizione: New. Fast-track conference proceedingsState-of-the-art researchUnique selling pointsThese proceedings contain the papers presented at ECIR 2010, the 32nd Eu- pean Conference on Information Retrieval. The conference was organizedby the Knowledge Media Institu.
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 677 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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paperback. Condizione: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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-Frequenc…y 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-based models. 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 164 pp. Englisch.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2013
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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-F.
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 ti…mes 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 / IndexSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
