The Study of Personalized Information Recommendation System Based on Data Mining

被引：0

作者：

Chen Ke ^{[1
]}

Ke Wende ^{[1
]}

Li Sansi ^{[1
]}

机构：

[1] Guangdong Univ Petrochem Technol, Dept Comp Sci & Technol, Guangzhou, Guangdong, Peoples R China

来源：

FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): COMPUTER VISION AND IMAGE ANALYSIS: PATTERN RECOGNITION AND BASIC TECHNOLOGIES | 2012年 / 8350卷

关键词：

Data mining; personalized recommendation; association rule; online part; offline part;

D O I：

10.1117/12.920104

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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 system's feasibility and the validity.

引用

页数：8