Predicting Users' Requests on the WWW
Ingrid Zukerman
Computer Science and Software Engineering
Monash University
Friday, 29th October 1999
0930 - 1100
Conference Room
CSIRO Mathematical & Information Sciences
Ground Floor, 723 Swanston Street, Melbourne.
Abstract:
In this talk, I will describe several Markov models derived from the behaviour
patterns of many users, which predict which WWW documents a user is likely
to request next. I will present comparative results of the predictive
accuracy of the different models, and, based on these results, build hybrid
models which combine the individual models in different ways. These
hybrid models generally have a greater predictive accuracy than the individual
models. The best models have been incorporated in a decision-theoretic
system for pre-sending WWW documents.
Biosketch:
Ingrid Zukerman is an
Associate Professor in Computer Science at Monash University. She
received her B.Sc. degree in Industrial Engineering and Management and
her M.Sc. degree in Operations Research from the Technion -- Israel Institute
of Technology. She received her Ph.D. degree in Computer Science
from UCLA in 1986. Since then, she has been working in the School
of Computer Science and Software Engineering at Monash University.
Her areas of interest are discourse planning, plan recognition and agent
modeling.