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Title: | Online Social Media Content Delivery |
Other Titles: | A Data-Driven Approach / |
Authors: | Wang, Zhi. ;;Zhu, Wenwu. ;;Yang, Shiqiang. ; |
subject: | Computer Science;Artificial Intelligence;Application Software;Computer Science;Information Systems Applications;Artificial Intelligence and Robotics;Computer Appl. in Social and Behavioral Sciences. ; |
Year: | 2018 |
place: | Singapore : |
Publisher: | Springer Singapore : Imprint: Springer, |
Series/Report no.: | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
Abstract: | 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. ; |
Description: | QA76.76.A65 ; Printed edition: ; 9789811027734. ; SpringerLink (Online service) ; 005.7 ; 23 ; |
URI: | http://localhost/handle/Hannan/708 |
ISBN: | 9789811027741 ; 9789811027734 (print) ; |
More Information: | XI, 109 p. 64 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9789811027734.pdf | 4.73 MB | Adobe PDF | Preview File |
Title: | Online Social Media Content Delivery |
Other Titles: | A Data-Driven Approach / |
Authors: | Wang, Zhi. ;;Zhu, Wenwu. ;;Yang, Shiqiang. ; |
subject: | Computer Science;Artificial Intelligence;Application Software;Computer Science;Information Systems Applications;Artificial Intelligence and Robotics;Computer Appl. in Social and Behavioral Sciences. ; |
Year: | 2018 |
place: | Singapore : |
Publisher: | Springer Singapore : Imprint: Springer, |
Series/Report no.: | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
Abstract: | 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. ; |
Description: | QA76.76.A65 ; Printed edition: ; 9789811027734. ; SpringerLink (Online service) ; 005.7 ; 23 ; |
URI: | http://localhost/handle/Hannan/708 |
ISBN: | 9789811027741 ; 9789811027734 (print) ; |
More Information: | XI, 109 p. 64 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9789811027734.pdf | 4.73 MB | Adobe PDF | Preview File |
Title: | Online Social Media Content Delivery |
Other Titles: | A Data-Driven Approach / |
Authors: | Wang, Zhi. ;;Zhu, Wenwu. ;;Yang, Shiqiang. ; |
subject: | Computer Science;Artificial Intelligence;Application Software;Computer Science;Information Systems Applications;Artificial Intelligence and Robotics;Computer Appl. in Social and Behavioral Sciences. ; |
Year: | 2018 |
place: | Singapore : |
Publisher: | Springer Singapore : Imprint: Springer, |
Series/Report no.: | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
Abstract: | 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. ; |
Description: | QA76.76.A65 ; Printed edition: ; 9789811027734. ; SpringerLink (Online service) ; 005.7 ; 23 ; |
URI: | http://localhost/handle/Hannan/708 |
ISBN: | 9789811027741 ; 9789811027734 (print) ; |
More Information: | XI, 109 p. 64 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9789811027734.pdf | 4.73 MB | Adobe PDF | Preview File |