Abstract
Cold-start problem is eminent when dealing with new users and new or updated items in web environments. To approach the problem we draw motivation from the innovation diffusion theory. We thoroughly analyzed the information diffusion in the studied large scale corporate portal and discovered that innovators play the key role in the information spread. Applying these findings we introduce a novel effective solution to the cold-start problem by providing recommendations based on the browsing features of identified selected innovators. The system has been experimentally tested and evaluated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 |
| Pages | 129-132 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 - Silicon Valley, CA, United States Duration: 2007 Nov 2 → 2007 Nov 5 |
Other
| Other | 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 |
|---|---|
| Country | United States |
| City | Silicon Valley, CA |
| Period | 07/11/2 → 07/11/5 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
Cite this
Information diffusion approach to cold-start problem. / Ishikawa, Masayuki; Geczy, Peter; Izumi, Noriaki; Morita, Takeshi; Yamaguchi, Takahira.
Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007. 2007. p. 129-132 4427556.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Information diffusion approach to cold-start problem
AU - Ishikawa, Masayuki
AU - Geczy, Peter
AU - Izumi, Noriaki
AU - Morita, Takeshi
AU - Yamaguchi, Takahira
PY - 2007
Y1 - 2007
N2 - Cold-start problem is eminent when dealing with new users and new or updated items in web environments. To approach the problem we draw motivation from the innovation diffusion theory. We thoroughly analyzed the information diffusion in the studied large scale corporate portal and discovered that innovators play the key role in the information spread. Applying these findings we introduce a novel effective solution to the cold-start problem by providing recommendations based on the browsing features of identified selected innovators. The system has been experimentally tested and evaluated.
AB - Cold-start problem is eminent when dealing with new users and new or updated items in web environments. To approach the problem we draw motivation from the innovation diffusion theory. We thoroughly analyzed the information diffusion in the studied large scale corporate portal and discovered that innovators play the key role in the information spread. Applying these findings we introduce a novel effective solution to the cold-start problem by providing recommendations based on the browsing features of identified selected innovators. The system has been experimentally tested and evaluated.
UR - http://www.scopus.com/inward/record.url?scp=48149112314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48149112314&partnerID=8YFLogxK
U2 - 10.1109/WIIATW.2007.4427556
DO - 10.1109/WIIATW.2007.4427556
M3 - Conference contribution
AN - SCOPUS:48149112314
SN - 0769530281
SN - 9780769530284
SP - 129
EP - 132
BT - Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
ER -