A Way to Improve Personalized Recommendation System Efficiency

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 a...

Full description

Saved in:
Bibliographic Details
Main Authors: Liu, Hualing, Liu, Huarui, Yu, Han
Format: Conference Proceeding
Language:English
Subjects:
Association rules
Classification algorithms
Clustering algorithms
custom web log
data quality
Decision trees
recommendation system
Redundancy
web mining
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/ICCIS.2011.316