Statistical Language Models for Information Retrieval

ISBN	159829590X	Volumes	1
ISBN13	9781598295900 (What's this?)	Weight (grammes)	261
Publisher	Morgan & Claypool Publishers	Published in	San Rafael
Imprint	Morgan & Claypool Publishers	Series ISSN	1947-404
Format	Paperback	Series title	Synthesis Lectures on Human Language Technologies
Publication date	15 Oct 2008	Height (mm)	235
DEWEY	025.524	Width (mm)	190
DEWEY edition	DC22	Spine width (mm)	7
Pages	141	Academic level	Professional / Scholarly

	Synthesis Lectures on Human Language Technologies
1	Introduction	1
1.1	Basic Concepts in Information Retrieval	2
1.2	Statistical Language Models	6
2	Overview of Information Retrieval Models	11
2.1	Similarity-Based Models	11
2.2	Probabilistic Relevance Models	14
2.3	Probabilistic Inference Models	19
2.4	Axiomatic Retrieval Framework	20
2.5	Decision-Theoretic Retrieval Framework	22
3	Simple Query Likelihood Retrieval Model	27
3.1	Basic Idea	27
3.2	Event Models for [theta][subscript D]	28
3.3	Estimation of [theta][subscript D]	30
3.4	Smoothing and TF-IDF Weighting	36
3.5	Two-Stage Smoothing	38
3.6	Exploit Document Prior	40
4	Complex Query Likelihood Retrieval Model	43
4.1	Document-Specific Smoothing of [theta][subscript D]	43
4.2	Beyond Unigram Models	46
4.3	Parsimonious Language Models	47
4.4	Full Bayesian Query Likelihood	48
4.5	Translation Model	49
5	Probabilistic Distance Retrieval Model	53
5.1	Difficulty in Supporting Feedback with Query Likelihood	53
5.2	Kullback-Leibler Divergence Retrieval Model	55
	More...

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