Study the Personal Push Service of University Library Based on Big Data Mining

Cheng Yi; Ying Xia; Zhi Yong Zhang

doi:10.4028/www.scientific.net/AMR.998-999.1261

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Study the Personal Push Service of University...

Study the Personal Push Service of University Library Based on Big Data Mining

Abstract:

It expounds the big data and the relevant theoretical knowledge of big data mining, In view of the lack of effective analysis of the data resource access in delivery service of university library, this paper designs the personalized recommendation system service model of university library, with clustering analysis and association rules theory as the foundation of technology. And it introduces in detail how to cluster according to the user's attribute characteristics and how to introduce minimum support to opti-mize on the basis of the classical association rules algorithm. Experiments show that the improved algorithm can improves the utilization of library resources.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1261-1265

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1261

Citation:

Cite this paper

Online since:

July 2014

Authors:

Cheng Yi*, Ying Xia, Zhi Yong Zhang

Keywords:

Association Rule, Big Data Mining, Personal Push, User Clustering

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* - Corresponding Author

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