Thomas Roelleke (29 results)
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Taschenbuch. 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-D…ocument-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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Condition: 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.
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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Taschenbuch. Condition: 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 H…eidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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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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- Softcover
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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)
- Softcover
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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)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: 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.
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)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 677 pages. 9.30x6.10x1.00 inches. In Stock.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 677 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Softcover
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paperback. Condition: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - These proceedings contain the papers presented at ECIR 2010, the 32nd Eu- pean Conference on Information Retrieval. The conference was organizedby the Knowledge Media Institute (KMi), the Open University, in co-operation with Dublin City University and the University of Essex, and was suppo…rted by the Information Retrieval Specialist Group of the British Computer Society (BCS- IRSG) and the Special Interest Group on Information Retrieval (ACM SIGIR). It was held during March 28-31, 2010 in Milton Keynes, UK. ECIR 2010 received a total of 202 full-paper submissions from Continental Europe (40%), UK (14%), North and South America (15%), Asia and Australia (28%), Middle East and Africa (3%). All submitted papers were reviewed by at leastthreemembersoftheinternationalProgramCommittee.Outofthe202- pers 44 were selected asfull researchpapers. ECIR has alwaysbeen a conference with a strong student focus. To allow as much interaction between delegates as possible and to keep in the spirit of the conference we decided to run ECIR 2010 as a single-track event. As a result we decided to have two presentation formats for full papers. Some of them were presented orally, the others in poster format. The presentation format does not represent any di erence in quality. Instead, the presentation format was decided after the full papers had been accepted at the Program Committee meeting held at the University of Essex. The views of the reviewers were then taken into consideration to select the most appropriate presentation format for each paper.
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- Softcover
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Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Language: English
Published by Springer International Publishing Jul 2013, 2013
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Taschenbuch. Condition: 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-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-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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- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2013
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Condition: 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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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: 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 tim…es 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.
