Abstract
In composing and using services, user’s requirements are subject to uncertainty and changes. It can be difficult for users to maintain an overview of all available services and to make good choices among them. This paper proposes an approach to proactively recommending suitable services to users. Our major contribution is to have devised a novel user-interest model to describe user’s interests adaptively. A reasonable way is put forward for picking up suitable services timely and its key problem is defined formally. Important properties of the model are theoretically proved, and the effectiveness of recommendations is verified with prototypical implementation and tryouts in public service area.
This work is supported by the National Natural Science Foundation of China (Grant No. 90412010 and No. 70673098) and China Ministry of Science and Technology 863 Program (Grant No. 2006AA12Z202).
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Zhang, C., Han, Y. (2007). Service Recommendation with Adaptive User Interests Modeling. In: Janowski, T., Mohanty, H. (eds) Distributed Computing and Internet Technology. ICDCIT 2007. Lecture Notes in Computer Science, vol 4882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77115-9_27
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DOI: https://doi.org/10.1007/978-3-540-77115-9_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77112-8
Online ISBN: 978-3-540-77115-9
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