Discovery of Web frequent patterns and user characteristics from Web access logs: a framework for dynamic Web personalization

An automatic discovery method that discovers frequent access routines for unique clients from Web access log files is presented. The proposed algorithm develops novel techniques to extract the sets of all predictive access sequences from semi-structured Web access logs. Important user access patterns are manifested through the frequent traversal paths, thus helping to understand user surfing behaviors. The predictive access routines discovered by AllFreSeq are also useful for understanding and improving Web site domain tree.