The Study of Personalized Information Recommendation System Based on Data Mining

摘要：

for the current Internet information access of contradictions and difficulties, the study on the basis of the data mining technique and recommender system, propose and implement a facing internet personalization information recommendation system based on data mining. The system is divided into offline and online, offline part to complete the from the site server log files access the appropriate online intelligent personalized recommendation service transaction mode, using the association rules mining. The online part, realizes personalized intelligence recommendation service based on the connection rule excavation. Provides the personalization information referral service method based mining association rules, And through the experiment to this system has carried on the test, has confirmed this systems feasibility and the validity.

关键词： data mining personalized recommendation association rule online part offline part

作者: Chen Ke Ke Wende Li Sansi

作者单位: Department of Computer Science and Technology Guangdong University of Petrochemical Technology Guangdong, China

会议类型: 国际会议

会议名称: 2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)

会议地点: 昆明

会议语种:英文

页码: 475-479

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）