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
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Mr. Amol B.Majgave Assistant Professor in Computer Science and Engineering Department of DKTE Society's Textile and Engineering Institute Ichalkaranji.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch. Bestandsnummer des Verkäufers 9786209189173
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786209189173
Anzahl: 1 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786209189173
Anzahl: 1 verfügbar