According to the current status of information search, a new personalised information search model is reported and the design and implementation of a system based on intelligent multi-agent is presented. A personalised information model must specialise to current interests of the user and adapt as they change over time. Machine learning techniques are used to increase the agents' capabilities of learning from the experience of previously satisfied queries. This paper builds a user personalised model to aid the accuracy of information distilling in order to enhance the personalised and intelligent degree of the system.
Jaroslav MeleškoEugenijus Kurilovas
R. SundarrajanC. Chandru VigneshM. SridharanR. VijayalagarP.M. Mohamed Faizal