Netisopakul, Ponrudee and Chainapaporn, Phakphoom (2014) MA_THR: Multi-Agent Thai Herb Recommendation from Heterogeneous Data Sources In: Communications in Computer and Information Science, Information Search, Integration, and Personalization Springer International Publishing, 103-118.
Multi-Agent Thai Herb Recommendation system (MA_THR) recommends Thai herb treatments based on a personal patient profile. Thai herb information is collected from available heterogeneous data sources, such as outside databases and websites. The collected information is integrated into a main Thai herb ontology, which is used as a knowledge base of the system. In order to integrate each component into one solution, multi-agent architecture is designed and implemented. The overall system evaluation justified by three human experts gives 89 % precision and 94 % recall.
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ระบบ อัตโนมัติ
Date Deposited:
2021-09-06 03:38:22
Last Modified:
2022-02-08 19:29:56