Mining Evolving Association Rules for E-Business Recommendation

Association analysis is an effective data mining approach capable of unveiling interesting associations within a large dataset.Although widely adopted in e-business areas,it still has many difficulties when applied in practice.For instance,there is a mismatch between the static rules discovered and the drifting nature of the user interests,and it is difficult to detect associations from a huge volume of raw user data.This paper presents an effective approach to mine evolving association rules in order to tackle these problems.It is followed by a recommendation model based on the evolving association rules unveiled.Experimental results on an online toggery show that it can effectively unveil people’s shifting interests and make better recommendations accordingly.更多还原