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عنوان: Online Social Media Content Delivery
عنوان دیگر: A Data-Driven Approach /
پدیدآورنده: Wang, Zhi. ;;Zhu, Wenwu. ;;Yang, Shiqiang. ;
کلید واژه ها: Computer Science;Artificial Intelligence;Application Software;Computer Science;Information Systems Applications;Artificial Intelligence and Robotics;Computer Appl. in Social and Behavioral Sciences. ;
تاریخ انتشار: 2018
محل نشر: Singapore :
ناشر: Springer Singapore :
Imprint: Springer,
فروست / شماره : SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
چکیده: This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery. ;
توضیحات : 

QA76.76.A65 ;
Printed edition: ; 9789811027734. ;
SpringerLink (Online service) ;
005.7 ; 23 ;

آدرس: http://localhost/handle/Hannan/708
شابک : 9789811027741 ;
9789811027734 (print) ;
اطلاعات بیشتر: XI, 109 p. 64 illus. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9789811027734.pdf4.73 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Online Social Media Content Delivery
عنوان دیگر: A Data-Driven Approach /
پدیدآورنده: Wang, Zhi. ;;Zhu, Wenwu. ;;Yang, Shiqiang. ;
کلید واژه ها: Computer Science;Artificial Intelligence;Application Software;Computer Science;Information Systems Applications;Artificial Intelligence and Robotics;Computer Appl. in Social and Behavioral Sciences. ;
تاریخ انتشار: 2018
محل نشر: Singapore :
ناشر: Springer Singapore :
Imprint: Springer,
فروست / شماره : SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
چکیده: This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery. ;
توضیحات : 

QA76.76.A65 ;
Printed edition: ; 9789811027734. ;
SpringerLink (Online service) ;
005.7 ; 23 ;

آدرس: http://localhost/handle/Hannan/708
شابک : 9789811027741 ;
9789811027734 (print) ;
اطلاعات بیشتر: XI, 109 p. 64 illus. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9789811027734.pdf4.73 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Online Social Media Content Delivery
عنوان دیگر: A Data-Driven Approach /
پدیدآورنده: Wang, Zhi. ;;Zhu, Wenwu. ;;Yang, Shiqiang. ;
کلید واژه ها: Computer Science;Artificial Intelligence;Application Software;Computer Science;Information Systems Applications;Artificial Intelligence and Robotics;Computer Appl. in Social and Behavioral Sciences. ;
تاریخ انتشار: 2018
محل نشر: Singapore :
ناشر: Springer Singapore :
Imprint: Springer,
فروست / شماره : SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
چکیده: This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery. ;
توضیحات : 

QA76.76.A65 ;
Printed edition: ; 9789811027734. ;
SpringerLink (Online service) ;
005.7 ; 23 ;

آدرس: http://localhost/handle/Hannan/708
شابک : 9789811027741 ;
9789811027734 (print) ;
اطلاعات بیشتر: XI, 109 p. 64 illus. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9789811027734.pdf4.73 MBAdobe PDFتصویر
مشاهده فایل