In this paper, we propose a generic Context Aware Recommendation framework for M-commerce applications. The core of the framework is a Multidimensional Contextual graph which can effectively represent various real-world objects and their relations. Once the graph is created, a Random Walk algorithm is applied to obtain a top-k recommendation list. Both products and services can be flexibly modeled into the framework, in addition to their related information such as ratings and QoS measures. As part of our ongoing work, the framework is aimed at presenting a comprehensive recommendation framework for Mobile users.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com