@inproceedings{da587418c6764f04b135fba6d412889c,
title = "Social view based user modeling for recommendation in tagging systems by association rules",
abstract = "Social tagging systems such as Facebook, YouTube, del.icio.us, Flickr become popular recent years and have achieved widespread success. State-of-art user modeling approaches in tagging systems usually use a vector of weighted tags. Unfortunately, typical user modeling methods using a vector of weighted tags which are based on personal view only and ignore the social view, have some inherent drawbacks. As in a social network like collaborative tagging system, it is subjective and incomplete to profile using only personal view. In this paper, a novel approach applying association rules is proposed to extend user profiles from the social view. The enriched user profile is a harvest from both personal view and social view. Algorithms of personalized recommendations for tags and items are presented. Also experimental results of using the profile we proposed are discussed.",
keywords = "Association rule, Model, Recommendation system, Social view, Tagging system",
author = "Keqin He and Liang He and Xin Lin and Wei Lu",
year = "2010",
doi = "10.1109/IWISA.2010.5473246",
language = "英语",
isbn = "9781424458745",
series = "Proceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010",
booktitle = "Proceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010",
note = "2nd International Workshop on Intelligent Systems and Applications, ISA2010 ; Conference date: 22-05-2010 Through 23-05-2010",
}