Title :
Application and research on information delivering in logistics information portal under a cloud computing enviroment
Author :
Min Li ; Songbao Ying ; Xueying Wu
Author_Institution :
Sch. of Distance Educ., SWJTU, Chengdu, China
Abstract :
To refine the resource delivering process and to satisfy the user experiences of logistics information portal, resources delivering algorithm and its framework under a cloud computing environment are proposed in this paper. The proposed algorithm analyzes the users´ browsing actions and clusters user model U with the resources model T to personalize the information recommendations under a cloud computing environment. Finally, an experiment is carried out under a simulated logistics system based on a cloud computing environment. The result shows that efficiency and user satisfaction can be obviously improved.
Keywords :
cloud computing; information filtering; logistics data processing; pattern clustering; personal information systems; portals; recommender systems; resource allocation; cloud computing environment; information delivery; logistics information portal; personalized information recommendation system; resource delivering algorithm; simulated logistics system; user browsing actions; user experiences; user model clustering; user satisfaction; Cloud computing; Computational modeling; Computers; Logistics; Portals; Servers; Vectors; Cloud Computing; Cluster; Information Delivering; Logistics Information Portal;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223138