Title :
A Way to Improve Personalized Recommendation System Efficiency
Author :
Liu, Hualing ; Liu, Huarui ; Yu, Han
Abstract :
In this paper, we analyze the current situation and existing problems of web log format. Besides, we study the web log mining algorithm in order to determine the log format of the data and an approach to custom this log format. With the custom logging, we can gain users´ preferred information accurately, reduce the complexity and workload of data preprocessing, thus improve the precision and efficiency of data mining. Consequently, custom logging will improve personalized recommendation system efficiency in terms of data quality.
Keywords :
Association rules; Classification algorithms; Clustering algorithms; Databases; Decision trees; Redundancy; custom web log; data quality; recommendation system; web mining;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
978-1-4577-1540-2
DOI :
10.1109/ICCIS.2011.316
