Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 271-278 |
| Number of pages | 8 |
| ISBN (print) | 9781605584867 |
| Publication status | Published - 29 Jun 2009 |
| Event | 20th ACM Conference on Hypertext and Hypermedia, HT'09 - Torino, Italy Duration: 29 Jun 2009 → 1 Jul 2009 |
Publication series
| Name | Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09 |
|---|
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
ASJC Scopus subject areas
- Computer Science(all)
- Computational Theory and Mathematics
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Software
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Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09. Association for Computing Machinery (ACM), 2009. p. 271-278 (Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Cross-tagging for personalized open social networking
AU - Stewart, Avaré
AU - Diaz-Aviles, Ernesto
AU - Nejdl, Wolfgang
AU - Marinho, Leandro Balby
AU - Nanopoulos, Alexandros
AU - Schmidt-Thieme, Lars
PY - 2009/6/29
Y1 - 2009/6/29
N2 - 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.
AB - 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.
KW - Recommender systems
KW - Social media
KW - Tags
KW - Web 2.0
UR - http://www.scopus.com/inward/record.url?scp=70450169650&partnerID=8YFLogxK
U2 - 10.1145/1557914.1557960
DO - 10.1145/1557914.1557960
M3 - Conference contribution
AN - SCOPUS:70450169650
SN - 9781605584867
T3 - Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09
SP - 271
EP - 278
BT - Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09
PB - Association for Computing Machinery (ACM)
T2 - 20th ACM Conference on Hypertext and Hypermedia, HT'09
Y2 - 29 June 2009 through 1 July 2009
ER -