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The Design of an Open Hybrid Recommendation System for Mobile Commerce

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3 Author(s)
Chengzhi Liu ; Key Lab. of Data Eng. & Knowledge Eng., Renmin Univ. of China, Beijing, China ; Caihong Sun ; Jia Yu

To meet more and more complex recommendation needs, it is quite important to implement hybrid recommendations for mobile commerce. In this paper, we propose a design for open hybrid recommendation systems in mobile commerce, which could integrate multiple recommendation algorithms together to improve recommendation performance. First, three solutions for an open hybrid recommendation approach are discussed in detail, which are generic customer profile, weighted hybrid recommendation algorithm, and mobile device profile creation. After that, we give out a multi-agent architecture design to make the three solutions work together. Finally a prototype system based on our proposed architecture is implemented to demonstrate the feasibility of our design and evaluate the performance of the proposed open hybrid recommendation system.

Published in:

Computational Intelligence for Modelling Control & Automation, 2008 International Conference on

Date of Conference:

10-12 Dec. 2008