TY - GEN
T1 - Capturing knowledge worker behavior based on information diffusion theory
AU - Ishikawa, Masayuki
AU - Geczy, Peter
AU - Izumi, Noriaki
AU - Yamaguchi, Takahira
PY - 2008/1/1
Y1 - 2008/1/1
N2 - By analyzing the information diffusion in a studied large scale corporate portal, we discovered that only small population of users is sufficient to initiate the widespread of innovation. Applying these findings, we conducted analytic experiment for novel recommendation algorithm based on the browsing features of identified selected users and discovered that the first 10 users accessing a particular page play the key role in the information spread.
AB - By analyzing the information diffusion in a studied large scale corporate portal, we discovered that only small population of users is sufficient to initiate the widespread of innovation. Applying these findings, we conducted analytic experiment for novel recommendation algorithm based on the browsing features of identified selected users and discovered that the first 10 users accessing a particular page play the key role in the information spread.
KW - Collaborative filtering
KW - Information Diffusion
KW - Innovator theory
KW - Knowledge management technology
KW - Recommender System
UR - http://www.scopus.com/inward/record.url?scp=84875944110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875944110&partnerID=8YFLogxK
U2 - 10.3233/978-1-58603-900-4-378
DO - 10.3233/978-1-58603-900-4-378
M3 - Conference contribution
AN - SCOPUS:84875944110
SN - 9781586039004
T3 - Frontiers in Artificial Intelligence and Applications
SP - 378
EP - 382
BT - Knowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
PB - IOS Press
ER -