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Artificial Intelligence

Hybrid AI System is an integration of more than one intelligent technique such as expert system, neural network, case-based reasoning etc. The integrated systems help to reduce weaknesses and complement the strengths of individual techniques. This solves problems in an effective way. Hybrid AI facilitates the combination of explicit judgemental knowledge plus implied and hidden knowledge of the user's experience

iPush Technology; based on iKen Studio, uses an integrated approach and an effective combination of expert systems and case-based reasoning at a grass root level to exploit their real-power. Rule-based expert systems are used for implementing and customizing dynamic business and policy rules. The case-based reasoning is used to profile the users and understand their behaviour based on domain conceptual matching knowledge rather than completely automated techniques. The overall combination helps to push the most appropriate contents and personalize the web-pages to the users. All based on their own interests and affinity groupings. The system is dynamic and adapts to changes in user browsing and download patterns. The system enables operators to push new contents or advertisements to most interested or correlated users.

The CBR engine is state-of-the-art and evolving; making use of taxonomies and changes in similarity logic based on the user's past downloads and browsing patterns.