document: A novel collaborative filtering-based framework for personalized services in m-commerce With the rapid growth of wireless technologies and handheld devices , m-commerce is becoming a promising research area . Personalization is especially important to the success of m-commerce . This paper proposes a novel collaborative filtering-based framework for personalized services in m-commerce . The framework extends our previous work by using Online Analytical Processing ( OLAP ) to represent the relations among user , content and context information , and adopting a multi-dimensional collaborative filtering model to perform inference . It provides a powerful and well-founded mechanism to personalization for m-commerce . We implemented it in an existing m-commerce platform , and experimental results demonstrate its feasibility and correctness .
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