ISBN: 9786139869190 - smart service recommendation system (5 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jul 2018, 2018

    6139869196 / 9786139869190

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 39,90

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the era of internet, amount of data grown beyond the capacity of storing and processing, this is known as Big Data. When Users deals with Big Data it face varies difficulty at the time of needful data extraction. Therefore, the purpose of Smart Service Recommender system is providing appropriate recommendations to users as per their interest. In the past few years, the amount of online web data has increases explosively, yielding the big data processing and analysis problem for recommender systems. Consequently, most of the traditional service recommender systems frequently suffer from scalability and inefficiency problems when processing or analyzing such large volume data. Moreover, an existing service recommender system present the same ratings and rankings of items to different users without considering varied users¿ preferences, and therefore fails to meet users personalized requirements 60 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139869196 / 9786139869190

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 45,66

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the era of internet, amount of data grown beyond the capacity of storing and processing, this is known as Big Data. When Users deals with Big Data it face varies difficulty at the time of needful data extraction. Therefore, the purpose of Smart Service Recommender system is providing appropriate recommendations to users as per their interest. In the past few years, the amount of online web data has increases explosively, yielding the big data processing and analysis problem for recommender systems. Consequently, most of the traditional service recommender systems frequently suffer from scalability and inefficiency problems when processing or analyzing such large volume data. Moreover, an existing service recommender system present the same ratings and rankings of items to different users without considering varied users¿ preferences, and therefore fails to meet users personalized requirements.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139869196 / 9786139869190

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 34,25

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Majgave AmolMr. Amol B.Majgave Assistant Professor in Computer Science and Engineering Department of DKTE Society s Textile and Engineering Institute Ichalkaranji.In the era of internet, amount of data grown beyond the capacity o.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jul 2018, 2018

    6139869196 / 9786139869190

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 39,90

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the era of internet, amount of data grown beyond the capacity of storing and processing, this is known as Big Data. When Users deals with Big Data it face varies difficulty at the time of needful data extraction. Therefore, the purpose of Smart Service Recommender system is providing appropriate recommendations to users as per their interest. In the past few years, the amount of online web data has increases explosively, yielding the big data processing and analysis problem for recommender systems. Consequently, most of the traditional service recommender systems frequently suffer from scalability and inefficiency problems when processing or analyzing such large volume data. Moreover, an existing service recommender system present the same ratings and rankings of items to different users without considering varied users¿ preferences, and therefore fails to meet users personalized requirementsVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139869196 / 9786139869190

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 35,60

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Smart Service Recommendation System | Amol Majgave (u. a.) | Taschenbuch | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139869190 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…