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Content-Based Mining of Query Replacements - A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items' Information - Nguyen, Hung V
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Nguyen, Hung V:
Content-Based Mining of Query Replacements - A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items' Information - Livres de poche

2008, ISBN: 9783639091212

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. MÃller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 5mm, 76, [GW: 133g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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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 - nouveau livre

2013, ISBN: 9783639091212

ID: 804144885

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. A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items´ Information Buch (fremdspr.) Taschenbuch 27.10.2013 Bücher>Fremdsprachige Bücher>Englische Bücher, VDM, .201

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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 - Livres de poche

ISBN: 9783639091212

[ED: Taschenbuch], [PU: VDM Verlag Dr. Müller e.K.], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x5 mm, 76, [GW: 130g], PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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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 - nouveau livre

ISBN: 9783639091212

ID: 835834775

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. A Probabilistic Approach to Bridging the SemanticGap Between Search Phrases and Items´ Information Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, VDM

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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 - Livres de poche

2013, ISBN: 3639091213

ID: 20104965887

[EAN: 9783639091212], Neubuch, [PU: VDM Verlag Dr. Müller E.K. Okt 2013], Computers & the Internet|Computer Science, Neuware - 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. 76 pp. Englisch

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Détails sur le livre
Content-Based Mining of Query Replacements

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.

Informations détaillées sur le livre - Content-Based Mining of Query Replacements


EAN (ISBN-13): 9783639091212
ISBN (ISBN-10): 3639091213
Livre de poche
Date de parution: 2008
Editeur: VDM Verlag
76 Pages
Poids: 0,130 kg
Langue: eng/Englisch

Livre dans la base de données depuis 11.02.2009 13:10:31
Livre trouvé récemment le 21.10.2017 23:00:15
ISBN/EAN: 3639091213

ISBN - Autres types d'écriture:
3-639-09121-3, 978-3-639-09121-2


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