An intelligent Multi-Agent recommender system for human capacity building

@article{Marivate2008AnIM,
  title={An intelligent Multi-Agent recommender system for human capacity building},
  author={Vukosi N. Marivate and George Ssali and Tshilidzi Marwala},
  journal={MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference},
  year={2008},
  pages={909-915}
}
This paper presents a Multi-Agent approach to the problem of recommending training courses to engineering professionals. The recommendation system is built as a proof of concept and limited to the electrical and mechanical engineering disciplines. Through user modelling and data collection from a survey, collaborative filtering recommendation is implemented using intelligent agents. The agents work together for recommending meaningful training courses and updating the course information. The… CONTINUE READING
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Accurately and reliably extracting data from the web : a machine learning approach

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