TOC 1 - Boolean Retrieval 2 - The term vocabulary and posting lists 3 - Dictionaries and tolerant retrieval 4 - Index construction 5 - Index compression 6 - Scoring, term weighting and the vector space model 7 - Computing scores in a complete search system 8 - Evaluation in information retrieval 9 - Relevance feedback and query expansion 10 - XML retrieval 11 - Probabilistic information retrieval 12 - Language models for information retrieval 13 - Text classification and Naive Bayes 14 - Vector space classification 15 - Support vector machines and machine learning on documents 16 - Flat clustering 17 - Hierarchical clustering 18 - Matrix decompositions and latent semantic indexing 19 - Web search basics 20 - Web crawling and indexes 21 - Link analysis
%0 Book
%1 Manning:2008
%A Manning, Christopher D.
%A Raghavan, Prabhakar
%A Schütze, Hinrich
%C New York
%D 2008
%I Cambridge University Press
%K search machine_learning text_categorisation inf_retr web_search clustering
%T Introduction to Information Retrieval
%X TOC 1 - Boolean Retrieval 2 - The term vocabulary and posting lists 3 - Dictionaries and tolerant retrieval 4 - Index construction 5 - Index compression 6 - Scoring, term weighting and the vector space model 7 - Computing scores in a complete search system 8 - Evaluation in information retrieval 9 - Relevance feedback and query expansion 10 - XML retrieval 11 - Probabilistic information retrieval 12 - Language models for information retrieval 13 - Text classification and Naive Bayes 14 - Vector space classification 15 - Support vector machines and machine learning on documents 16 - Flat clustering 17 - Hierarchical clustering 18 - Matrix decompositions and latent semantic indexing 19 - Web search basics 20 - Web crawling and indexes 21 - Link analysis
@book{Manning:2008,
abstract = {TOC 1 - Boolean Retrieval 2 - The term vocabulary and posting lists 3 - Dictionaries and tolerant retrieval 4 - Index construction 5 - Index compression 6 - Scoring, term weighting and the vector space model 7 - Computing scores in a complete search system 8 - Evaluation in information retrieval 9 - Relevance feedback and query expansion 10 - XML retrieval 11 - Probabilistic information retrieval 12 - Language models for information retrieval 13 - Text classification and Naive Bayes 14 - Vector space classification 15 - Support vector machines and machine learning on documents 16 - Flat clustering 17 - Hierarchical clustering 18 - Matrix decompositions and latent semantic indexing 19 - Web search basics 20 - Web crawling and indexes 21 - Link analysis},
added-at = {2009-04-20T05:42:23.000+0200},
address = {New York},
author = {Manning, Christopher D. and Raghavan, Prabhakar and Sch{\"u}tze, Hinrich},
biburl = {https://www.bibsonomy.org/bibtex/28516d94c1f7aa1e391ddd3ace4caa23b/diego_ma},
interhash = {b6954037b1d444f4afe4cad883b4d80c},
intrahash = {8516d94c1f7aa1e391ddd3ace4caa23b},
keywords = {search machine_learning text_categorisation inf_retr web_search clustering},
library = {Mine (April 2009)},
publisher = {Cambridge University Press},
timestamp = {2009-04-20T05:42:23.000+0200},
title = {Introduction to Information Retrieval},
year = 2008
}