A novel user interest mining method is proposed.Firstly

the items of visiting behaviors are retrieved from user's search engine log

and individual user interests with every webpage are described through the concepts of common ontology.Then

a method for computing the score of interest is proposed.According to the scores

a user's interest list can be judged as different interest patterns

which can be used to find the user's short term interests.After that

a user's interest model is built with concept collection extracted from ontology.At last

based on incremental accumulation of short term interests

long term interest collection can be calculated.The whole procedure avoids the problem of using similarity computation and document clustering to merge concepts in existing interest mining methods.This paper explores a new way of thinking.And as the experiment shows

the proposed method provides a more concrete description of user interest model and obtains an optimized concepts merging result.