Leverage Web Analytics for Real Time Website Browsing Recommendations

摘要: As a websites’ structure grow it is paramount to accommodate the alignment of user needs and experience with overall purposes. Toward this requirement, proposed website navigation recommendation system suggests users, pages that might be her interest based on past successful patterns site’s usage. Most existing systems adopts traditionally one web mining branches. We take different stance, usage, alternatively considered real time enactment analytic tools supported analysis given their current maturity affordances. On basis we provide model, its implementation evaluation for recommendations generation delivery. The developed prototype adopted SaaS orientation promote underlying functionalities integration within any website. Preliminary evaluation’s results seem favor validation present contribution rational.