Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
8-2010
Abstract
In this work, we study the task of personalized tag recommendation in social tagging systems. To reach out to tags beyond the existing vocabularies of the query resource and of the query user, we examine recommendation methods that are based on personomy translation, and propose a probabilistic framework for incorporating translations by similar users (neighbors). We propose to use distributional divergence to measure the similarity between users in the context of personomy translation, and examine two variations of such similarity measures. We evaluate the proposed framework on a benchmark dataset collected from BibSonomy, and compare with personomy translation methods based on the query user solely and collaborative filtering. Our experimental results show that our neighbor based translation methods outperform these baseline methods significantly. Moreover, we show that the translations borrowed from neighbors indeed help ranking relevant tags higher than that based solely on the query user.
Keywords
Social tagging, Recommendation methods, Neighbor-based translation method
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
SocialCom 2010: Proceedings: The second IEEE International Conference on Social Computing: Minneapolis, Minnesota, August 20-22, 2010
First Page
33
Last Page
40
ISBN
9780769542119
Identifier
10.1109/SocialCom.2010.15
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
HU, Meiqun; LIM, Ee Peng; and JIANG, Jing.
A probabilistic approach to personalized tag recommendation. (2010). SocialCom 2010: Proceedings: The second IEEE International Conference on Social Computing: Minneapolis, Minnesota, August 20-22, 2010. 33-40.
Available at: https://ink.library.smu.edu.sg/sis_research/619
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.ieeecomputersociety.org/10.1109/SocialCom.2010.15
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons