An analysis of web mining-based recommender systems for E-commerce

Abstract

This article proposes a framework of Web miningbased recommender systems for e-commerce. Building on clustering analysis of data involving Web usage, content and structure, the author demonstrates how to provide users with effective recommender services according to the mining results obtained by recommender engine. Finally, the author reaches his conclusion of the advantages and practicalities of Web mining-based recommender systems for e-commerce. © the authors.