Abstract: It is important for the modern enterprises to have the ability of discovering useful user access pattern and corresponding potential customers from large volume of user access logs, so that they can benefit from their electronic commerce strategies. This paper presents an algorithm for mining user access patterns and corresponding potential customers, which are based on E OEM model to integrate application logic, server topology, and user browse path. Experiments show the effectiveness of both the model and the algorithm.