Information Retrieval Models (eBook)

Foundations and Relationships

Thomas Roelleke (Autor)

eBook Download: PDF

2013
163 Seiten
Morgan & Claypool Publishers (Verlag)
978-1-62705-079-1 (ISBN)

Infos

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: "e;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."e;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 "e;relationships between models."e; 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

Produkt-Details

• Erscheint lt. Verlag: 1.7.2013
• Reihe/Serie: Synthesis Lectures on Information Concepts, Retrieval, and Services
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Informatik ► Weitere Themen ► Hardware
• Schlagworte: Information Retrieval (IR) Models, Foundations & Relationships, TF-IDF, probability of relevance framework (PRF), Poisson, BM25, language modelling (LM), divergence from randomness (DFR), probabilistic roots of IR models
• ISBN-10: 1-62705-079-5 / 1627050795
• ISBN-13: 978-1-62705-079-1 / 9781627050791