@inproceedings{748c34b0cae54286a96fc79fba30885c,
title = "A collaborative filtering recommendation algorithm based on tag clustering",
abstract = "Social tagging system is applied widely in Web 2.0 nowadays, which is designed to express the user's interest and willingness more accurately. And tag clustering is an important research topic in personalized recommendation of social tagging systems. This paper presents a personalized recommendation method based on tag clustering. In this method, tag clustering is realized by calculating the tag similarity, and recommendation is made based on tag clustering results. Experiments using CiteULike data sets show, proposed method can optimize ranking of objective resources, and help users to discover new resources easier.",
keywords = "Personalized Recommendation, Social Networks, Tag Clustering",
author = "Rujuan Liu and Zhendong Niu",
year = "2014",
doi = "10.1007/978-3-642-40861-8_27",
language = "English",
isbn = "9783642408601",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "177--183",
booktitle = "Future Information Technology, FutureTech 2013",
address = "Germany",
note = "8th FTRA International Conference on Future Information Technology, FutureTech 2013 ; Conference date: 04-09-2013 Through 06-09-2013",
}