Semantic content ranking through collaborative and content clustering
作者： Marios C. Angelides , Anastasis A. Sofokleous
DOI: 10.1016/J.NEUCOM.2007.10.029
关键词:
摘要: COSMOS-7 models semantic content in MPEG-7 such as objects and events their spatio-temporality. When a user queries model, the output is usually presented sequence of relevant, albeit unranked, video segments through which must sift. In this paper, we report how use Self-Organising Neural Networks (SONNs) to cluster rank consideration preferences knowledge gained from usage same by similar users user.
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