作者: K-L Wu , Philip S. Yu , Allen Ballman , None
DOI: 10.1147/SJ.371.0089
关键词:
摘要: SpeedTracer, a World Wide Web usage mining and analysis tool, was developed to understand user surfing behavior by exploring the server log files with data techniques. As popularity of has exploded, there is strong desire behavior. However, it difficult perform user-oriented directly on because they tend be ambiguous incomplete. With innovative algorithms, SpeedTracer first identifies sessions reconstructing traversal paths. It does not require “cookies” or registration for session identification. User privacy protected. Once are identified, algorithms then applied discover most common paths groups pages frequently visited together. Important browsing patterns manifested through frequent page groups, helping understanding Three types reports prepared: user-based reports, path-based group-based reports. In this paper, we describe design demonstrate some its features few sample