A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
Data Mining for Web Intelligence
Computer
iJADE Web-Miner: An Intelligent Agent Framework for Internet Shopping
IEEE Transactions on Knowledge and Data Engineering
Fuzzy-Neuro Approach to Agent Applications
Fuzzy-Neuro Approach to Agent Applications
An Online Recommender System for Large Web Sites
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Intelligent financial news digest system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
iJADE reporter: an intelligent multi-agent based context aware news reporting system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Systems that are integrated with recommendation features to support decision processes can provide a more personalized and proactive retrieval experience for users to choose among retrieval alternatives and subsequent refinement of choices. Many real-world systems call for autonomous intelligent agents acting in the face of uncertain knowledge and limited computational resources. This paper explores the development of an intelligence multi-agent based system for book recommendation and retrieval. It enlists the features of our iJADE (intelligent Java Agent-based Development Environment platform) to provide convenient Java tools and libraries for the agent components. The system possesses fuzzy reasoning features suitable for comparing, evaluating and classifying the webagents behavior. The fuzzy decision-making is based on user preferences, product feature selection and system recommendation. We can make use of the platform to build a web system integrated with the mobile multi-agent system and fuzzy ontology. The use of mobile agent technology provides a specific solution for overcoming the problem of being overloaded with too much information. User can simply enter preference information through the web browser and the backend iJADE server gets the request and sends back the relevant recommendations to the client. The simulation testing shows promising results.