Title :
An Interest-Based Recommending Framework of Folksonomies
Author :
Xiao, Ruliang ; Xiong, Jinbo
Author_Institution :
Fac. of Software, Fujian Normal Univ., Fuzhou
Abstract :
Social network encourages users to show interest based Web collections of resources on the Web in a collaborative fashion. Social network systems aim at the automatic recommendation of interesting content to users about their interests and the context of interaction based on a model of folksonomy. The paper presents an interest based recommending framework for social network, and also gives a formalized model and recommending procedure. The proposed approach for interest-based recommendation can provide different types of interesting recommendations taking into account the current user interaction context.
Keywords :
groupware; information filters; social networking (online); Web collections; collaborative fashion; folksonomies; interest-based recommending framework; social network systems; user interaction context; Collaboration; Collaborative software; Collaborative work; Context modeling; Electronic mail; Information filtering; Information filters; Recommender systems; Social network services; Tagging;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072722