A new interactive clustering method based on userbehavior pattern recognition on web

Considering the influential role of internet and its dominance in our nowadays life and the great amount of produced data to have a useful relationship withuser,user should achieve his/her own goal with the least spent time despite the existence of data traffic to do this,many researches about searching web and recognizing the users' behavior and the relationship between these two have been done,using various PSO algorithms .Having done the researches ,it was concluded that this knowledge can be a great help and one can present a new method in which users' relationship with each other, this relationship withsocial networks and news groups and site ,etc can be done.this new method is called Based an Agent .According to this method ,every person can do many of his/her Internet activities in an automatic and intelligent ,having an agent and planning according to his/her personal interest.

کلیدواژه ها:

web mining ، user behavior ، clustering ، pso algorithm ، association rules ، based on Agent