A hybrid content-based clustering architecture: minimising uncertainty in personalised multimedia content
Q3 Computer Science
International Journal of Intelligent Systems Technologies and Applications
Pub Date : 2006-06-01
DOI:10.5555/1359498.1359506
引用次数: 0
Abstract
This paper aims at demonstrating the validity of a hybrid content-based clustering architecture that combines personalisation techniques. The paper describes a hybrid content-based clustering archi...基于内容的混合集群架构:最小化个性化多媒体内容的不确定性
本文旨在证明结合个性化技术的基于内容的混合聚类体系结构的有效性。本文描述了一种基于内容的混合聚类架构。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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来源期刊
International Journal of Intelligent Systems Technologies and Applications
Computer Science-Computer Science (all)
CiteScore
1.30
自引率
0.00%
发文量
11
期刊介绍：
Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc. Topics covered include: -Robotics and mechatronics technologies- Artificial intelligence and knowledge based systems technologies- Real-time computing and its algorithms- Embedded systems technologies- Actuators and sensors- Mico/nano technologies- Sensing and multiple sensor fusion- Machine vision, image processing, pattern recognition and speech recognition and synthesis- Motion/force sensing and control- Intelligent product design, configuration and evaluation- Real time learning and machine behaviours- Fault detection, fault analysis and diagnostics- Digital communications and mobile computing- CAD and object oriented simulations.
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