TY - GEN
T1 - Measuring the variation in task-needs for knowledge delivery
T2 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
AU - Liu, Duen Ren
AU - Wu, I. Chin
AU - Chang, Pei Cheng
PY - 2007
Y1 - 2007
N2 - Effective knowledge management (KM) in a knowledge-intensive working environment requires an understanding of workers' information needs for tasks, (task-needs), so that they can be provided with appropriate codified knowledge (textual documents) when performing long-term tasks. This work proposes a novel profiling technique based on implicit relevance feedback and collaborative filtering techniques that model workers' task-needs. The proposed profiling method analyses variations in workers' task-needs for topics (i.e., topic needs) in a topic taxonomy over time. Variations in the topic needs of similar workers' are used to predict variations in a target worker's topic needs and adjust his/her task profile accordingly. Experiment results suggest that considering variations in the topic needs of similar workers' during the profile adaptation process is effective in improving the precision of document retrieval.
AB - Effective knowledge management (KM) in a knowledge-intensive working environment requires an understanding of workers' information needs for tasks, (task-needs), so that they can be provided with appropriate codified knowledge (textual documents) when performing long-term tasks. This work proposes a novel profiling technique based on implicit relevance feedback and collaborative filtering techniques that model workers' task-needs. The proposed profiling method analyses variations in workers' task-needs for topics (i.e., topic needs) in a topic taxonomy over time. Variations in the topic needs of similar workers' are used to predict variations in a target worker's topic needs and adjust his/her task profile accordingly. Experiment results suggest that considering variations in the topic needs of similar workers' during the profile adaptation process is effective in improving the precision of document retrieval.
KW - Adaptive task-profiling
KW - Similar workers
KW - Topic taxonomy
KW - Variation in task-needs
UR - http://www.scopus.com/inward/record.url?scp=38049030246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38049030246&partnerID=8YFLogxK
U2 - 10.1109/ICMLC.2007.4370536
DO - 10.1109/ICMLC.2007.4370536
M3 - Conference contribution
AN - SCOPUS:38049030246
SN - 142440973X
SN - 9781424409730
T3 - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
SP - 2339
EP - 2344
BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Y2 - 19 August 2007 through 22 August 2007
ER -