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Personalized Information Recommendation Model Based on Semantic Grid

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2 Author(s)
Yusheng Sun ; Center for Studies of Inf. Resources, Wuhan Univ., Wuhan, China ; Hui Dong

In this paper, we analyzed the drawbacks existing in the current personalized information recommendation. Then we analyzed the limitations of the application of the Internet, the semantic Web and the grid technology in the field of personalized information recommendation. Ground on the analysis above, we put forward a personalized information recommendation model based on semantic grid, and preliminary advanced the personalized information recommendation solution of large-scale, high accuracy, strong timeliness, which is geared to the distributed, heterogeneous, massive information environment. Specifically speaking, the solution makes use of the high-performance computing and information service capability of semantic grid to resolve the problem of recommendation scale and timeliness; it makes use of the semantic processing ability of semantic grid to resolve the problem of recommendation intelligence; In addition, it makes use of the grid monitoring technology to resolve the problem of the real time information acquisition of the candidate grid nodes.

Published in:

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on  (Volume:1 )

Date of Conference:

24-26 April 2009