I will investigate the dynamic relation between the feeling flow
and the stochastic event occurrence in the various fields which
can contribute to the smart IoT and the human life. Feeling Flow
and the Environment Values which will become the source of
moving demand are firstly reviewed to seek the smoothing means
for the people flows. Secondly, we newly show the experimental
system for moving demand prediction which can recommend the
spatio-temporal trajectories and favorable landmarks considering
the maturities and the preference of users on the basis of the
feature vector set MOVER. Thirdly, we try the more widely used
examples on the basis of the inter-correlation of landmarks and
user profiles especially focusing on the comfort potentials,
without waiting them to be big database.

講演録

事業成果物名	情流と確率的事象発生の動的関係について
ファイル	形式：PDF　容量：4MB