@inproceedings{cd509638f63b4fe7883c81fde56154e8,
title = "Collaborative tagging in recommender systems",
abstract = "This paper proposes a collaborative filtering method with usercreated tags focusing on changes of web content and internet services. Collaborative tagging is employed as an approach in order to grasp and filter users' preferences for items. In addition, we explore several advantages of collaborative tagging for future searching and information sharing which is used for automatic analysis of user preference and recommendation. We present empirical experiments using real dataset from del.icio.us to demonstrate our algorithm and evaluate performance compared with existing works.",
author = "Ji, {Ae Ttie} and Cheol Yeon and Kim, {Heung Nam} and Jo, {Geun Sik}",
year = "2007",
doi = "10.1007/978-3-540-76928-6_39",
language = "English",
isbn = "9783540769262",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "377--386",
booktitle = "AI 2007",
address = "Germany",
note = "20th Australian Joint Conference on Artificial Intelligence, AI 2007 ; Conference date: 02-12-2007 Through 06-12-2007",
}