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A novel collaborative filtering-based framework for personalized services in m-commerce

9 years 10 months ago
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 mcommerce. This paper proposes a novel collaborative filteringbased 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 mcommerce. We implemented it in an existing m-commerce platform, and experimental results demonstrate its feasibility and correctness. Categories and Subject Descriptors H.2.8 [Database Applications]: Data mining; H.3.5 [Online Information Services]: Web-based services. General Terms Algorithms, Experimentation, Human Factors. Keywords Personalization, collaborative filtering, m-commer...
Qiudan Li, Chunheng Wang, Guanggang Geng, Ruwei Da
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2007
Where WWW
Authors Qiudan Li, Chunheng Wang, Guanggang Geng, Ruwei Dai
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