Cross-tagging for personalized open social networking

authored by: Avaré Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme
Abstract: The Social Web is successfully established and poised for continued growth. Web 2.0 applications such as blogs, bookmarking, music, photo and video sharing systems are among the most popular; and all of them incorporate a social aspect, i.e., users can easily share information with other users. But due to the diversity of these applications - serving different aims - the Social Web is ironically divided. Blog users who write about music for example, could possibly benefit from other users registered in other social systems operating within the same domain, such as a social radio station. Although these sites are two different and disconnected systems, offering distinct services to the users, the fact that domains are compatible could benefit users from both systems with interesting and multi-faceted information. In this paper we propose to automatically establish social links between distinct social systems through cross-tagging, i.e., enriching a social system with the tags of other similar social system(s). Since tags are known for increasing the prediction quality of recommender systems (RS), we propose to quantitatively evaluate the extent to which users can benefit from cross-tagging by measuring the impact of different cross-tagging approaches on tag-aware RS for personalized resource recommendations. We conduct experiments in real world data sets and empirically show the effectiveness of our approaches.
Organisation(s): L3S Research Centre
External Organisation(s): University of Hildesheim
Type: Conference contribution
Pages: 271-278
No. of pages: 8
Publication date: 29.06.2009
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Science Applications, Software
Electronic version(s): https://doi.org/10.1145/1557914.1557960 (Access: Closed)

BibTeX

@inproceedings{84d8e552a0d14c7aaa1b417096a3c2e4,
title = "Cross-tagging for personalized open social networking",
abstract = "The Social Web is successfully established and poised for continued growth. Web 2.0 applications such as blogs, bookmarking, music, photo and video sharing systems are among the most popular; and all of them incorporate a social aspect, i.e., users can easily share information with other users. But due to the diversity of these applications - serving different aims - the Social Web is ironically divided. Blog users who write about music for example, could possibly benefit from other users registered in other social systems operating within the same domain, such as a social radio station. Although these sites are two different and disconnected systems, offering distinct services to the users, the fact that domains are compatible could benefit users from both systems with interesting and multi-faceted information. In this paper we propose to automatically establish social links between distinct social systems through cross-tagging, i.e., enriching a social system with the tags of other similar social system(s). Since tags are known for increasing the prediction quality of recommender systems (RS), we propose to quantitatively evaluate the extent to which users can benefit from cross-tagging by measuring the impact of different cross-tagging approaches on tag-aware RS for personalized resource recommendations. We conduct experiments in real world data sets and empirically show the effectiveness of our approaches.",
keywords = "Recommender systems, Social media, Tags, Web 2.0",
author = "Avar{\'e} Stewart and Ernesto Diaz-Aviles and Wolfgang Nejdl and Marinho, {Leandro Balby} and Alexandros Nanopoulos and Lars Schmidt-Thieme",
year = "2009",
month = jun,
day = "29",
doi = "10.1145/1557914.1557960",
language = "English",
isbn = "9781605584867",
series = "Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09",
publisher = "Association for Computing Machinery (ACM)",
pages = "271--278",
booktitle = "Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09",
address = "United States",
note = "20th ACM Conference on Hypertext and Hypermedia, HT'09 ; Conference date: 29-06-2009 Through 01-07-2009",
}