AnttiVirolainen T106.5820SeminaronDistributedSystems - - PowerPoint PPT Presentation

Antti
Virolainen
 T‐106.5820
Seminar
on
Distributed
Systems



Describing
everyday
services


Context‐aware
content
classification


Context‐aware
content
classification



How?
 
 


Why?
 Where?
 
 


 



How?
 
 


Why?
 Where?
 
 


 


The
Kassi
project


• Otaniemi
campus

• Changing
everyday
services


Why?


• Service
requestor

• Service
provider

• Critical
success
factor
for
Kassi
is
that







They
Find
Each
Other


• Requires
easy
and
usable











description
system
for
services


How?


• Describe
in
three
dimensions

• Get
clever
suggestions
based
on
context


• Make
the
big
divisions

• Are
you
offering
or
needing
something?

• Is
it
a
service
or
a
physical
object?

• Are
you
motivated
by
reputation,
virtual


currency
or
cold
cash?


• There
is
always
an
answer
to
all
the
questions


We
do
not
know
all
use‐cases


• A
fixed
category
set
is
not
future‐proof

• How
can
the
users
classify
the
services
that


we
can’t
think
now?


• A
service
can
contain
anything


 Like
a
photograph
in
Flickr


 A
folksonomy
lets
the
users
decide
the
vocabulary


• Descriptive
labels

• Free
vocabulary

• Labeling
assisted


based
on
context
 history


• Who
do
you
want
to
read
your
ad?


 Friends?
  A
specific
group?
  Neighbors?
  Anyone
near
the
local
supermarket?


• What
ads
do
you
want
to
read?


 Filters
work
for
the
searcher/browser
too


The
context
information


• Data
from
the
phone

• Compare
with
earlier
recordings

• Suggest
similar


ZoneTag’s
logic


Same
context


means


higher
probability
for
same
tags


Matching
the
context
with
history


• Location

• Social
distance

• Time

• Of
the
day

• Of
the
year


Example
case


• A
library
at
the
campus


Example
case


• Using
Kassi
with
mobile
phone


Example
case


• Finding
the
book


• Three‐dimensional
describing
of
everyday


services


 Categories
  Keywords
(tags)
  Filters
(restrictions)


• Assisted
by
context‐aware
suggestions