A Personalized Recommendation Mechanism of Electronic Business Based on Web Data Mining Technology

A personalized recommendation mechanism tailored for electronic business was created, leveraging the advancements in web data mining technology. It delineates a recommended system for web mining, comprising offline and online system design components. The web data mining process includes data collection, cleaning, and pattern discovery to expand online data. Considering the intricacies of web user clustering and web page clustering, user behavior was analyzed using advanced clustering algorithms for user segmentation. By integrating these elements, the proposed mechanism can revolutionize the electronic business landscape by providing personalized recommendations tailored to individual preferences, thereby enhancing user satisfaction and optimizing navigation experiences.