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Statistical Language Models for Information Retrieval - ChengXiang Zhai

Statistical Language Models for Information Retrieval

A Critical Review

(Autor)

Buch | Softcover
92 Seiten
2008
now publishers Inc (Verlag)
978-1-60198-186-8 (ISBN)
CHF 122,95 inkl. MwSt
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Surveys a wide range of retrieval models based on language modeling and attempts to make connections between this new family of models and traditional retrieval models. The book summarizes the progress made so far in these models and points out remaining challenges to be solved to further increase their impact.
Statistical Language Models for Information Retrieval systematically and critically reviews the existing work in applying statistical language models to information retrieval, summarizes their contributions, and points out outstanding challenges. Statistical language models have recently been successfully applied to many information retrieval problems. A great deal of recent work has shown that statistical language models not only lead to superior empirical performance, but also facilitate parameter tuning and open up possibilities for modeling non-traditional retrieval problems. In general, statistical language models provide a principled way of modeling various kinds of retrieval problems.

Tho book reviews the development of this language modeling approach. It surveys a wide range of retrieval models based on language modeling and attempts to make connections between this new family of models and traditional retrieval models. It summarizes the progress made so far in these models and point out remaining challenges to be solved to further increase their impact. It is written for readers who already have some basic knowledge about information retrieval. Some knowledge of probability and statistics such as the maximum likelihood estimator is helpful, but not a prerequisite to understanding the high-level discussion.

1: Introduction 2: The Basic Language Modeling Approach 3: Understanding Query Likelihood Scoring 4: Improving the Basic Language Modeling Approach 5: Query Models and Feedback in Language Models 6: Language Models for Special Retrieval Tasks 7: Unifying Different Language Models 8: Summary and Outlook. Acknowledgements. References

Erscheint lt. Verlag 30.11.2008
Reihe/Serie Foundations and Trends® in Information Retrieval
Verlagsort Hanover
Sprache englisch
Maße 156 x 234 mm
Gewicht 143 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-60198-186-4 / 1601981864
ISBN-13 978-1-60198-186-8 / 9781601981868
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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