Title :
A Blog Personality Recommender System Based on Cloud Computing Infrastructure
Author :
Jiang, Jie ; Pang, Weiwei ; Deng, Yule ; He, Kate ; Gu, Zhuyun
Author_Institution :
Dept. of Comput. Scienceand Technol., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
Blog is an important carrier of the current network information, and it has quick update, high quality and personalized characteristic. However, as the number of blogs increase sharply, it becomes more difficult to find high quality and personalized blog. In order to resolve this problem, this paper presents a new blog recommender system based on cloud computing infrastructure. This system adopts the user collaborative filtering recommendation algorithm in blog search, uses Hadoop distributed file system to store mass blog data and implements the distributed processing of blog crawl and index creation stages. The blog recommender engine of the system records user preferences from the blog search results firstly, then finds out user potential preference content by using collaborative filtering algorithm to generate individual and high quality blog recommendation with high reliability and scalability. The experimental results show that the blog recommendation can meet the user´s requirements.
Keywords :
Web sites; cloud computing; collaborative filtering; distributed databases; public domain software; recommender systems; storage management; Hadoop distributed file system; blog crawl; blog personality recommender system; blog searching; cloud computing infrastructure; distributed processing; index creation stage; mass blog data storage; recommendation algorithm; user collaborative filtering; user requirement; Joints; blog search; cloud computing; recommender system; web page clustering;
Conference_Titel :
Service Sciences (IJCSS), 2012 International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1992-8
DOI :
10.1109/IJCSS.2012.33