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Content-Based Mining of Query Replacements - Hung V. Nguyen
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Content-Based Mining of Query Replacements - neues Buch

ISBN: 9783639091212

ID: a39a4f13ba4b78e426c88a2cd19861a8

A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items' Information This dissertation introduces the problem of content-based query replacement. It motivatesthe term correlation modeled using MRFs and the sampling based technique to learn thesearch phrase definitions. These definitions are used as alternative queries to achieve higheraccuracy in several retrieval tasks.Retrieving relevant documents while eliminating irrelevant documents for an user'squery is a challenging task which involves a good understanding of the relation betweenthe data and the query as well as developing algorithms that can efficiently measure therelevance of the data to the query. As part of this dissertation, we have developed a hypothesis to reduce the problem of mining search phrase definitions significantlyby modeling the joint distribution of terms as a product of conditional distributions,modeled as a Markov Random Field. We assume that there exists an underlying jointdistribution among terms that are used to describe the search phrase. The modelingwe propose is a condensed representation of inter-term relationship and it appears tocapture insight statistics among terms. describes a target phrase. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-639-09121-2, VDM Verlag Dr. Müller e.K.

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Content-Based Mining of Query Replacements - Hung V. Nguyen
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Hung V. Nguyen:

Content-Based Mining of Query Replacements - neues Buch

ISBN: 9783639091212

ID: 113766572

This dissertation introduces the problem of content-based query replacement. It motivatesthe term correlation modeled using MRFs and the sampling based technique to learn thesearch phrase definitions. These definitions are used as alternative queries to achieve higheraccuracy in several retrieval tasks.Retrieving relevant documents while eliminating irrelevant documents for an user´squery is a challenging task which involves a good understanding of the relation betweenthe data and the query as well as developing algorithms that can efficiently measure therelevance of the data to the query. As part of this dissertation, we have developed a hypothesis to reduce the problem of mining search phrase definitions significantlyby modeling the joint distribution of terms as a product of conditional distributions,modeled as a Markov Random Field. We assume that there exists an underlying jointdistribution among terms that are used to describe the search phrase. The modelingwe propose is a condensed representation of inter-term relationship and it appears tocapture insight statistics among terms. describes a target phrase. A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items´ Information Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, VDM Verlag Dr. Müller e.K.

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Content-Based Mining of Query Replacements - Hung V. Nguyen
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Hung V. Nguyen:
Content-Based Mining of Query Replacements - neues Buch

ISBN: 9783639091212

ID: af2395d428c771e0f0e0427af7012447

A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items' Information This dissertation introduces the problem of content- based query replacement. It motivates the term correlation modeled using MRFs and the sampling based technique to learn the search phrase definitions. These definitions are used as alternative queries to achieve higher accuracy in several retrieval tasks. Retrieving relevant documents while eliminating irrelevant documents for an user's query is a challenging task which involves a good understanding of the relation between the data and the query as well as developing algorithms that can efficiently measure the relevance of the data to the query. As part of this dissertation, we have developed a hypothesis to reduce the problem of mining search phrase definitions significantly by modeling the joint distribution of terms as a product of conditional distributions, modeled as a Markov Random Field. We assume that there exists an underlying joint distribution among terms that are used to describe the search phrase. The modeling we propose is a condensed representation of inter- term relationship and it appears to capture insight statistics among terms. describes a target phrase. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-639-09121-2, VDM

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Content-Based Mining of Query Replacements - Nguyen, Hung V
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Nguyen, Hung V:
Content-Based Mining of Query Replacements - Taschenbuch

2008, ISBN: 9783639091212

[ED: Softcover], [PU: Vdm Verlag Dr. Müller], This dissertation introduces the problem of content- based query replacement. It motivates the term correlation modeled using MRFs and the sampling based technique to learn the search phrase definitions. These definitions are used as alternative queries to achieve higher accuracy in several retrieval tasks. Retrieving relevant documents while eliminating irrelevant documents for an user's query is a challenging task which involves a good understanding of the relation between the data and the query as well as developing algorithms that can efficiently measure the relevance of the data to the query. As part of this dissertation, we have developed a hypothesis to reduce the problem of mining search phrase definitions significantly by modeling the joint distribution of terms as a product of conditional distributions, modeled as a Markov Random Field. We assume that there exists an underlying joint distribution among terms that are used to describe the search phrase. The modeling we propose is a condensed representation of inter- term relationship and it appears to capture insight statistics among terms. describes a target phrase.2008. 76 S.Versandfertig in 3-5 Tagen

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Content-Based Mining of Query Replacements - Hung V Nguyen
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Hung V Nguyen:
Content-Based Mining of Query Replacements - neues Buch

ISBN: 9783639091212

ID: 9fc285b9a687f1d79a3330de6632a6db

This dissertation introduces the problem of content-based query replacement. It motivatesthe term correlation modeled using MRFs and thesampling based technique to learn thesearch phrase definitions. These definitions areused as alternative queries to achieve higheraccuracy in several retrieval tasks.Retrieving relevant documents while eliminatingirrelevant documents for an user squery is a challenging task which involves a goodunderstanding of the relation betweenthe data and the query as well as developingalgorithms that can efficiently measure therelevance of the data to the query. As part of thisdissertation, we have developed a hypothesis toreduce the problem of mining search phrasedefinitions significantlyby modeling the joint distribution of terms as aproduct of conditional distributions,modeled as a Markov Random Field. We assume thatthere exists an underlying jointdistribution among terms that are used to describethe search phrase. The modelingwe propose is a condensed representation of inter-term relationship and it appears tocapture insight statistics among terms.describes a target phrase. Buch / Broschur, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Content-Based Mining of Query Replacements
Autor:

Nguyen Hung V

Titel:

Content-Based Mining of Query Replacements

ISBN-Nummer:

9783639091212

This dissertation introduces the problem of content- based query replacement. It motivates the term correlation modeled using MRFs and the sampling based technique to learn the search phrase definitions. These definitions are used as alternative queries to achieve higher accuracy in several retrieval tasks. Retrieving relevant documents while eliminating irrelevant documents for an user's query is a challenging task which involves a good understanding of the relation between the data and the query as well as developing algorithms that can efficiently measure the relevance of the data to the query. As part of this dissertation, we have developed a hypothesis to reduce the problem of mining search phrase definitions significantly by modeling the joint distribution of terms as a product of conditional distributions, modeled as a Markov Random Field. We assume that there exists an underlying joint distribution among terms that are used to describe the search phrase. The modeling we propose is a condensed representation of inter- term relationship and it appears to capture insight statistics among terms. describes a target phrase.

Detailangaben zum Buch - Content-Based Mining of Query Replacements


EAN (ISBN-13): 9783639091212
ISBN (ISBN-10): 3639091213
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: VDM Verlag
76 Seiten
Gewicht: 0,130 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 11.02.2009 13:10:31
Buch zuletzt gefunden am 15.11.2016 14:55:32
ISBN/EAN: 9783639091212

ISBN - alternative Schreibweisen:
3-639-09121-3, 978-3-639-09121-2

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