An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Design and evaluation of a multi-agent collaborative Web mining system
Decision Support Systems - Web retrieval and mining
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Distributed collaborative filtering for peer-to-peer file sharing systems
Proceedings of the 2006 ACM symposium on Applied computing
Context-aware intelligent recommender system
Proceedings of the 15th international conference on Intelligent user interfaces
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We demonstrate a system for filtering media streams according to the collective taste of a leader-less informal clan of users. Applications on mobile devices receive streams of content items that are assessed by local software agents. The agents learn the collective preferences of the tribe by forming a distributed multi-agent society that shares data on the behavior of all users. The underlying artificial intelligence is based on support vector machines that cooperate by broadcasting new support vectors. The demo shows micro-blog readers on cell phones running support vector machine agents with text kernels and communicating over IP Multimedia System networks.