Anonymous User Navigation Path Mining Research And Implementation

With the rapid increasing of network size and network user, it has become more and more important that understanding the patterns of user browsing the network, which is significant for optimizing the network structure and reconstructing the website and bringing the individuation and recommending.In the practice, user browse the network under the anonymous circumstance mostly, few user information can be known by website, so it has more practical and applied value to mining anonymous user browsing paths without specific userinfo.On the analysis and research of the Web logs under anonymous circumstance, this paper designs and realizes a system of mining the anonymous user browsing paths based on the Web logs, which obtains and analyses and researches corresponding anonymous user browsing paths through disposing and mining the Web logs.This paper wholly marks out and designs this system, and presents an improved algorithm of mining anonymous user frequent paths; and mines anonymous user interested paths based on the anonymous user Web access matrix through introducing the definition of path interest degree; and mines the representative anonymous user paths with a clustering algorithm combining the similary degree of path.Finally, this paper analyses the experimental result, and brings forward a few tentative plans on how to perfect this system, thereby which can provide the reference for optimizing network structures and reconstructing network, and provide the basis for individual service and recommending.