Abstract
In order to solve the problems such as: producing high quality recommendations, efficient organizing and performing thousands of recommendations per second for millions of users and resources, and achieving high accuracy of recommendation. This paper proposes a novel information feature spatial based personalized recommendation strategy to fulfill intelligent sharing network resources built through network users’ dynamic collection behaviors. The main contributions including: (1) Giving the formula to calculate information rating values of web pages and network users by means of users’ collection behavior; (2) Proposing the construction of information feature spatial based on SHG-Tree to organize, locate and index all network resources in recommendation platform; (3) Proposing four information match algorithms with different index granularity and applying them to six types of personalized recommendation schemes; (4) Applying recommendation methods to a Wushu service network platform, the result shows that the recommendation service can achieve millisecond respond and the recommendation satisfaction can exceed 70%.
* Supported by National Science Foundation of China under Grant No. 60773169, No. 60702075.
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Zhang, H., Huang, L., Zhou, J., Xu, H., Liu, Y. (2011). A Novel Personalized Recommendation for Intelligent Sharing of Network Resources. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_30
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DOI: https://doi.org/10.1007/978-3-642-23226-8_30
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