- 期刊
STUDY ON PLATFORM PERSONALIZED RECOMMENDATION OF TECHNOLOGY INNOVATION PUBLIC SERVICE
並列摘要
In order to improve the user's experience for the scientific and technological innovation public service platform, personalized recommendation technology for customer to the scientific and technological innovation public service platform must be carried out. To this end, according to the information of the enterprise concerned, we will use the clustering analysis technology to carry on the information cluster analysis. Then, we will compare the history of similar enterprises and the current operating behavior of enterprises to compare and combine. Finally, we will be the information needed for the current enterprise data mining, using the multiple minimum support variable weight Association Rule Mining Algorithm, so as to provide personalized recommendation services for enterprises.
延伸閱讀
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