论文信息 - Exploiting learning technologies for World Wide Web agents

Exploiting learning technologies for World Wide Web agents

The paper illustrates how machine learning techniques can be utilised within intelligent software agents which assist users with the management of Web-based information. The authors discuss a number of recent activities within the Learning Agents & Systems group at Aberdeen, namely: a generic Web browsing assistant; an agent which constructs personalised travel brochures; the application of clustering techniques to Web browser histories; and multi-agent support for adaptive user querying.

Peter Edwards | Claire Louise Green | T. C. Lukins | P C Lockier

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