The emerging tools for user pattern discovery use sophisticated techniques from AI, data mining, psychology, and information theory, to mine for knowledge from collected data. For example, the WEBMINER system [MJHS96,CMS97] introduces a general architecture for Web usage mining. WEBMINER automatically discovers association rules and sequential patterns from server access logs. In [CPY96] algorithms are introduced for finding maximal forward references and large reference sequences. These can, in turn be used to perform various types of user traversal path analysis such as identifying the most traversed paths thorough a Web locality. Pirolli et. al. [PPR96] use information foraging theory [PC95] to combine path traversal patterns, Web page typing, and site topology information to categorize pages for easier access by users. In subsequent section we will discuss some of these proposed techniques in more detail.