Study on Key Techniques of Web Mining for Personalized Information Reorganization and Distribution
Da Wang · 2005
The personalized information reorganization and distribution is an important part on Web personalization. Now the major problem of this domain is not lacking the tools for information reorganization and distribution, but re- quirinig the supporting techniques for them work effectively. This paper proposes an approach including: Stream data processing technique is imported in analyzing Web click stream, IP stream and text steam for studying users' behavior and requirement based on stream data mining. Ontology and domain knowledge is introduced in Web content mining for guiding the mining process. Users'behavior and requirement analysis based on Web stream data mininig is com- bined with Web content mininig under the guidance of domain knowledge for creating Web information pattern, user model and their relation. The study results are used for supporting effectively personalized information reorganization and distribution of Internet according to users'requirement.