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9783639432961 - Gullì, Antonio: Clustering and Ranking for Web Information Retrieval - Buch
1
Gullì, Antonio (?):

Clustering and Ranking for Web Information Retrieval (?)

ISBN: 9783639432961 (?) bzw. 3639432967, in Deutsch, Av Akademikerverlag, Taschenbuch, neu

Versandkostenfrei
buecher.de GmbH & Co. KG, [1]
Revision with unchanged content. This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchical clustering meta-search engine which personalizes searches according to the clusters selected on-the-fly by users. Second, we consider those situations where users might desire to access fresh information such as news articles. We present a new ranking algorithm suitable for ranking those fresh type of information. Third, we will discuss numerical methodologies for accelerating the ranking methodologies used in Web Search. An important achievement for this book is that we show how to address the above pre***nt issues of Web Information Retrieval by using clustering and ranking methodologies. We demonstrate that both clustering and ranking have a mutual reinforcement property that has not yet been studied intensively.144 S.Versandfertig in 3-5 Tagen, Softcover
Kommentar des Händlers/Antiquariats buecher.de GmbH & Co. KG, [1]:
Händlerbewertung: 99.1%
Daten vom 19.04.2014 21:05h
ISBN (andere Schreibweisen): 3-639-43296-7, 978-3-639-43296-1
2
Antonio Gullì (?):

Clustering and Ranking for Web Information Retrieval (2012) (?)

ISBN: 9783639432961 (?) bzw. 3639432967, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu, Nachdruck

59,00 + Versand: 15,50 = 74,50(unverbindlich)
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany
This item is printed on demand - Print on Demand Titel. - Revision with unchanged content. This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchical clustering meta-search engine which personalizes searches according to the clusters selected on-the-fly by users. Second, we consider those situations where users might desire to access fresh information such as news articles. We present a new ranking algorithm suitable for ranking those fresh type of information. Third, we will discuss numerical methodologies for accelerating the ranking methodologies used in Web Search. An important achievement for this book is that we show how to address the above pre***nt issues of Web Information Retrieval by using clustering and ranking methodologies. We demonstrate that both clustering and ranking have a mutual reinforcement property that has not yet been studied intensively. 144 pp. Englisch
Kommentar des Händlers/Antiquariats AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany:
Händlerbewertung: 5, NEW BOOK, New
Bestellnummer bei der Plattform Abebooks.de: 10407760568
Daten vom 19.04.2014 21:05h
ISBN (andere Schreibweisen): 3-639-43296-7, 978-3-639-43296-1
9783639432961 - Gullì, Antonio: Clustering and Ranking for Web Information Retrieval - Buch
3
Gullì, Antonio (?):

Clustering and Ranking for Web Information Retrieval (?)

ISBN: 9783639432961 (?) bzw. 3639432967, in Deutsch, Av Akademikerverlag, Taschenbuch, neu

Versandkostenfrei
buecher.de GmbH & Co. KG, [1]
Revision with unchanged content. This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchical clustering meta-search engine which personalizes searches according to the clusters selected on-the-fly by users. Second, we consider those situations where users might desire to access fresh information such as news articles. We present a new ranking algorithm suitable for ranking those fresh type of information. Third, we will discuss numerical methodologies for accelerating the ranking methodologies used in Web Search. An important achievement for this book is that we show how to address the above pre***nt issues of Web Information Retrieval by using clustering and ranking methodologies. We demonstrate that both clustering and ranking have a mutual reinforcement property that has not yet been studied intensively.144 S.Versandfertig in 3-5 Tagen, Softcover
Kommentar des Händlers/Antiquariats buecher.de GmbH & Co. KG, [1]:
Händlerbewertung: 99.0%
Daten vom 17.03.2015 22:40h
ISBN (andere Schreibweisen): 3-639-43296-7, 978-3-639-43296-1
4
Gullì, Antonio (?):

Clustering and Ranking for Web Information Retrieval: Methodologies for Searching the Web (2012) (?)

ISBN: 9783639432961 (?) bzw. 3639432967, in Deutsch, AV Akademikerverlag, Taschenbuch, neu, Nachdruck

59,00 + Versand: 3,49 = 62,49(unverbindlich)
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany
This item is printed on demand for shipment within 3 working days.
Kommentar des Händlers/Antiquariats English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany:
Händlerbewertung: 4, NEW BOOK, New
Bestellnummer bei der Plattform Abebooks.de: 13788383540
Daten vom 17.03.2015 22:40h
ISBN (andere Schreibweisen): 3-639-43296-7, 978-3-639-43296-1
5
Antonio Gullì (?):

Clustering and Ranking for Web Information Retrieval (2012) (?)

ISBN: 9783639432961 (?) bzw. 3639432967, in Deutsch, Av Akademikerverlag Jul 2012, Taschenbuch, neu, Nachdruck

59,00 + Versand: 15,50 = 74,50(unverbindlich)
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany
This item is printed on demand - Print on Demand Titel. - Revision with unchanged content. This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchical clustering meta-search engine which personalizes searches according to the clusters selected on-the-fly by users. Second, we consider those situations where users might desire to access fresh information such as news articles. We present a new ranking algorithm suitable for ranking those fresh type of information. Third, we will discuss numerical methodologies for accelerating the ranking methodologies used in Web Search. An important achievement for this book is that we show how to address the above pre***nt issues of Web Information Retrieval by using clustering and ranking methodologies. We demonstrate that both clustering and ranking have a mutual reinforcement property that has not yet been studied intensively. 144 pp. Englisch
Kommentar des Händlers/Antiquariats AHA-BUCH GmbH [51283250], Einbeck, Germany:
Händlerbewertung: 5, NEW BOOK, New
Bestellnummer bei der Plattform Abebooks.de: 10407760568
Daten vom 17.03.2015 22:40h
ISBN (andere Schreibweisen): 3-639-43296-7, 978-3-639-43296-1

9783639432961

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