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Pu
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b
h
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m
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1.
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m
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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d
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J
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&
C
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p
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N:
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4
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A
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(
Ha
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451
T
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GL
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f
r
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k
[
1
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,
wh
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f
o
cu
s
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its
s
tr
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g
th
s
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v
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co
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ased
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o
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s
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alis
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o
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m
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Similar
ly
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ac
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ic
r
esear
ch
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r
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m
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s
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s
[
2
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h
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h
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s
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n
if
ican
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d
f
o
r
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tech
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web
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cr
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[
3
]
−
[
6
]
f
ac
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litates
p
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f
ilter
s
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d
im
p
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tech
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[
7
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[
8
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im
p
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m
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in
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h
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cin
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o
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d
atio
n
s
y
s
tem
s
.
T
h
e
u
s
e
o
f
d
ee
p
lear
n
in
g
(
DL
)
m
eth
o
d
s
in
r
ec
o
m
m
e
n
d
atio
n
s
y
s
tem
s
[
9
]
−
[
1
1
]
,
as
well
as
th
e
u
s
e
o
f
tr
ain
ed
v
ec
to
r
s
ex
tr
ac
ted
f
r
o
m
d
o
m
ain
co
r
p
o
r
a
[
1
2
]
,
illu
s
tr
ates
th
at
r
ec
o
m
m
en
d
atio
n
m
eth
o
d
s
co
n
s
is
ten
tly
im
p
r
o
v
e
p
er
f
o
r
m
an
ce
an
d
th
e
ab
ilit
y
to
s
er
v
e
a
b
r
o
ad
e
r
u
s
er
b
ase.
T
h
r
o
u
g
h
a
co
m
p
r
eh
en
s
iv
e
r
e
v
ie
w
o
f
m
eth
o
d
o
lo
g
ies,
ch
allen
g
es,
an
d
f
u
tu
r
e
d
ir
ec
t
io
n
s
,
th
e
p
r
im
ar
y
o
b
jectiv
e
o
f
th
is
r
esear
ch
is
to
p
r
o
v
i
d
e
r
esear
ch
er
s
an
d
p
r
ac
titi
o
n
er
s
with
v
alu
ab
le
in
s
ig
h
ts
th
at
ca
n
in
s
p
ir
e
in
n
o
v
ati
o
n
a
n
d
im
p
r
o
v
e
t
h
e
ef
f
ec
tiv
en
ess
o
f
r
ec
r
u
itm
en
t
p
r
o
ce
s
s
es.
T
h
e
co
n
tr
i
b
u
tio
n
s
o
f
th
is
r
esear
ch
ar
e
s
u
m
m
a
r
is
ed
as f
o
llo
ws:
−
W
eb
s
cr
ap
in
g
was
ap
p
lied
to
jo
b
s
ites
f
o
r
th
e
ex
t
r
ac
tio
n
o
f
jo
b
-
r
elate
d
i
n
f
o
r
m
atio
n
,
s
p
ec
if
ically
jo
b
d
escr
ip
tio
n
s
,
u
s
in
g
th
e
Ap
if
y
API
to
o
l.
−
T
h
e
co
llectio
n
o
f
s
k
ill
s
ets
in
v
o
lv
ed
t
h
e
u
tili
s
atio
n
o
f
a
s
k
ills
d
ataset
en
co
m
p
ass
in
g
ca
n
d
id
ate
r
esu
m
es
an
d
jo
b
d
escr
ip
tio
n
s
o
b
tain
ed
f
r
o
m
jo
b
s
ites
.
−
T
h
e
NL
P
tech
n
iq
u
e
W
o
r
d
2
Ve
c
was
em
p
lo
y
ed
to
e
x
tr
ac
t
s
e
m
an
tic
v
ec
to
r
s
f
r
o
m
ca
n
d
id
ate
r
esu
m
es
a
n
d
j
o
b
d
escr
i
p
tio
n
s
.
−
T
h
e
tech
n
iq
u
e
o
f
ag
g
lo
m
er
ati
v
e
clu
s
ter
in
g
was
u
tili
s
ed
to
ar
r
an
g
e
jo
b
d
escr
ip
tio
n
s
k
ills
in
to
co
n
tig
u
o
u
s
clu
s
ter
s
.
−
T
h
e
m
o
d
el
was
tr
ain
ed
u
s
in
g
d
if
f
er
e
n
t
class
if
ier
s
,
in
clu
d
in
g
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
(
SVM)
,
N
aïv
e
B
ay
es
,
r
an
d
o
m
f
o
r
est,
an
d
k
-
n
ea
r
est
n
eig
h
b
o
r
s
(
KNN
)
.
T
h
e
f
ea
tu
r
es
u
s
ed
wer
e
jo
b
d
es
cr
ip
tio
n
s
k
ills
,
wh
ile
th
e
lab
els we
r
e
clu
s
ter
n
u
m
b
er
s
.
−
A
r
an
k
in
g
m
eth
o
d
th
at
u
tili
s
es
s
em
an
tic
v
ec
to
r
s
an
d
E
u
clid
ea
n
s
im
ilar
ity
in
d
ex
in
g
alg
o
r
ith
m
s
was
d
ev
elo
p
e
d
to
p
r
o
v
i
d
e
p
er
s
o
n
al
i
s
ed
r
ec
o
m
m
en
d
atio
n
s
f
o
r
t
h
e
to
p
1
0
m
o
s
t
r
elev
an
t
p
o
s
itio
n
s
to
ca
n
d
id
ates,
co
n
s
id
er
in
g
t
h
eir
s
k
ill s
ets as i
n
d
icate
d
in
th
eir
r
esu
m
es.
T
h
e
r
em
ain
in
g
p
ar
t
o
f
th
e
p
a
p
er
is
s
tr
u
ctu
r
ed
in
th
e
f
o
llo
win
g
f
o
r
m
at:
Sectio
n
I
I
s
h
o
ws
th
e
liter
atu
r
e
r
ev
iew.
Sectio
n
I
I
I
ex
p
lain
s
t
h
e
m
eth
o
d
o
lo
g
y
an
d
th
e
o
v
e
r
all
f
r
am
ewo
r
k
o
f
th
e
s
y
s
tem
,
as
well
a
s
th
e
d
at
a
ac
q
u
is
itio
n
,
p
r
e
p
r
o
ce
s
s
in
g
,
an
d
class
if
icatio
n
m
o
d
els.
Secti
o
n
I
V
s
h
o
ws
th
e
e
x
p
er
im
e
n
ts
an
d
th
e
ca
lcu
latio
n
s
with
th
e
ev
alu
atio
n
m
etr
ics
an
d
test
in
g
r
esu
lts
.
Sectio
n
V
s
h
o
ws
th
e
r
esu
lts
an
d
a
n
al
y
s
is
o
f
d
if
f
er
e
n
t
class
if
icatio
n
m
o
d
els,
an
d
ev
e
n
tu
ally
,
th
e
f
u
t
u
r
e
d
ir
ec
tio
n
s
a
n
d
co
n
clu
d
in
g
r
e
m
ar
k
s
a
r
e
ex
p
r
ess
ed
in
Sectio
n
s
VI
an
d
VI
I
,
r
esp
ec
tiv
ely
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
T
h
er
e
ar
e
s
o
m
e
p
r
o
b
lem
s
wit
h
ad
d
in
g
g
o
o
d
lear
n
in
g
s
tr
ate
g
ies
to
b
u
s
in
ess
lear
n
in
g
m
a
n
ag
em
en
t
s
y
s
tem
s
(
L
MS)
.
T
h
is
is
b
ec
au
s
e
how
th
in
g
s
ar
e
d
o
n
e
n
o
w
t
en
d
s
to
p
u
t
u
s
er
click
p
r
ef
er
en
ce
s
ah
ea
d
o
f
ca
r
ee
r
d
ev
elo
p
m
e
n
t
alig
n
m
e
n
t,
lead
i
n
g
to
p
o
o
r
r
esu
lts
[
1
]
.
T
h
e
GL
AD
f
r
am
ewo
r
k
is
r
e
v
o
lu
tio
n
a
r
y
b
ec
au
s
e
it
u
s
es
a
tr
an
s
f
o
r
m
er
-
b
ased
m
o
d
el
with
a
p
er
f
o
r
m
a
n
ce
p
r
ed
icto
r
an
d
a
r
atio
n
ality
d
is
cr
im
in
ato
r
t
o
t
ailo
r
lear
n
in
g
p
la
n
s
to
ea
ch
s
tu
d
en
t.
I
t
h
as
b
ee
n
d
em
o
n
s
tr
ated
th
at
r
ein
f
o
r
ce
m
en
t
lear
n
in
g
R
L
ap
p
r
o
ac
h
es
o
u
tp
er
f
o
r
m
cu
r
r
en
t
m
eth
o
d
s
an
d
e
n
d
ea
v
o
u
r
to
en
h
an
ce
th
e
wo
r
k
p
er
f
o
r
m
an
ce
o
f
in
d
iv
id
u
als
[
1
]
.
C
o
n
ce
r
n
s
r
eg
ar
d
in
g
u
n
eth
ical
r
ec
o
m
m
en
d
atio
n
s
an
d
lo
n
g
-
te
r
m
d
am
a
g
e
h
av
e
also
in
cr
ea
s
e
d
co
n
s
cio
u
s
n
ess
r
eg
ar
d
in
g
th
e
n
ee
d
f
o
r
im
p
ar
tial
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
[
2
]
.
T
h
e
ac
ad
em
ic
liter
atu
r
e
in
th
is
f
ield
u
n
d
er
s
c
o
r
es
th
e
cr
iticality
o
f
in
co
r
p
o
r
atin
g
f
air
n
ess
in
d
icato
r
s
an
d
s
tr
ateg
ies
s
u
ch
as
co
n
s
is
ten
cy
an
d
g
r
o
u
p
f
air
n
ess
to
m
itig
ate
n
eg
ativ
e
im
p
licatio
n
s
.
Fu
tu
r
e
r
esear
ch
s
h
o
u
ld
f
o
c
u
s
o
n
d
ev
elo
p
i
n
g
ex
p
licit
d
ef
in
itio
n
s
,
co
n
s
is
ten
t
as
s
es
s
m
en
t
s
tan
d
ar
d
s
,
v
ar
io
u
s
alg
o
r
ith
m
d
esig
n
s
,
an
d
tr
a
n
s
p
a
r
en
t ju
s
tific
atio
n
s
f
o
r
in
e
q
u
ita
b
le
r
esu
lts
[
2
]
,
[
1
0
]
.
W
eb
b
r
o
wsi
n
g
em
er
g
es
as
a
c
r
itical
in
f
o
r
m
atio
n
ex
tr
ac
tio
n
t
ec
h
n
iq
u
e,
p
a
r
ticu
lar
ly
in
th
e
co
n
tex
t
o
f
em
p
lo
y
m
e
n
t
an
d
jo
b
h
u
n
tin
g
.
Nu
m
er
o
u
s
tec
h
n
iq
u
es
to
i
n
cr
e
ase
th
e
ef
f
icac
y
o
f
d
ata
e
x
tr
ac
tio
n
ar
e
th
e
s
u
b
ject
o
f
r
esear
ch
,
in
clu
d
in
g
r
ea
d
in
g
b
ased
o
n
r
e
g
u
lar
ex
p
r
ess
io
n
s
an
d
n
o
v
el
ap
p
r
o
ac
h
es
s
u
c
h
a
s
Uzu
n
E
x
t
[
3
]
−
[
6
]
.
B
u
t
th
er
e
ar
e
s
till
p
r
o
b
lem
s
with
m
atch
in
g
p
e
o
p
le
with
jo
b
s
an
d
s
o
r
tin
g
th
e
m
in
to
g
r
o
u
p
s
.
T
h
is
s
h
o
ws
h
o
w
im
p
o
r
tan
t
it
is
to
u
s
e
m
o
r
e
ad
v
an
ce
d
m
et
h
o
d
s
th
at
u
s
e
s
tan
d
ar
d
i
s
ed
en
tity
d
ata
an
d
NPL
[
1
2
]
-
[
1
5
]
.
Dee
p
lear
n
in
g
tech
n
iq
u
es,
s
p
ec
if
ic
ally
g
r
a
p
h
n
eu
r
al
n
etwo
r
k
s
(
GNNs)
,
ar
e
g
ai
n
in
g
p
o
p
u
lar
ity
in
th
e
f
ield
o
f
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
[
9
]
−
[
1
1
]
d
u
e
to
th
eir
ab
ilit
y
t
o
co
m
p
r
eh
e
n
d
co
m
p
lex
g
r
ap
h
t
o
p
o
lo
g
ies
an
d
h
ig
h
-
o
r
d
er
co
n
n
ec
tiv
ity
.
T
h
ese
m
eth
o
d
o
lo
g
ies
f
ac
ilit
ate
a
m
o
r
e
co
m
p
r
eh
en
s
iv
e
co
m
p
r
eh
e
n
s
io
n
o
f
u
s
er
-
item
in
ter
ac
tio
n
s
an
d
co
n
tr
ib
u
te
to
th
e
o
p
tim
i
s
atio
n
o
f
r
ec
o
m
m
en
d
atio
n
o
u
tco
m
es.
I
n
r
ec
o
m
m
e
n
d
atio
n
s
ce
n
ar
io
s
,
R
L
s
ig
n
if
ies
a
f
u
n
d
am
e
n
tal
c
h
an
g
e
f
r
o
m
s
u
p
er
v
is
ed
lea
r
n
i
n
g
to
p
r
o
v
id
in
g
m
o
r
e
p
r
ec
is
e
r
ec
o
m
m
e
n
d
atio
n
s
;
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
40
,
No
.
1
,
Octo
b
er
20
25
:
450
-
4
6
0
452
th
is
m
o
d
if
icatio
n
also
s
ig
n
if
ies
a
p
ar
ad
ig
m
s
h
if
t
in
th
o
u
g
h
t
[
1
6
]
.
R
ec
en
t
im
p
r
o
v
em
en
ts
in
tex
t
clas
s
if
icatio
n
m
eth
o
d
s
,
lik
e
c
o
s
in
e
s
im
ilar
ity
-
b
ased
m
ec
h
a
n
is
m
s
th
at
m
ak
e
m
an
y
class
if
ier
s
wo
r
k
b
etter
an
d
b
e
m
o
r
e
ac
cu
r
ate,
s
h
o
w
th
at
r
ec
o
m
m
e
n
d
atio
n
s
y
s
tem
s
ar
e
s
till
b
ein
g
im
p
r
o
v
e
d
[
8
]
.
C
ase
-
b
ased
r
ea
s
o
n
in
g
also
s
h
o
ws
th
at
f
u
zz
y
co
s
in
e
s
im
ilar
ity
r
etr
iev
al
m
eth
o
d
s
wo
r
k
an
d
s
u
g
g
ests
way
s
to
m
ak
e
r
etr
iev
al
f
aste
r
an
d
u
s
er
s
h
ap
p
ier
[
7
]
.
As
t
h
e
s
ec
to
r
e
v
o
lv
es,
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
ar
e
g
ain
in
g
in
cr
ea
s
in
g
s
ig
n
if
ican
ce
in
th
e
p
r
o
ce
s
s
es o
f
m
atch
in
g
in
d
iv
id
u
als with
em
p
lo
y
m
en
t a
n
d
lo
c
atin
g
s
u
itab
le
p
er
s
o
n
n
el.
W
ith
th
e
co
n
v
er
g
en
ce
o
f
f
in
d
i
n
g
s
f
r
o
m
d
i
f
f
er
en
t
a
r
ea
s
o
f
s
tu
d
y
,
th
e
cu
r
r
en
t
s
tu
d
y
aim
s
to
co
n
tr
ib
u
te
to
th
e
d
ev
elo
p
m
en
t
o
f
a
co
m
p
r
eh
en
s
iv
e
em
p
lo
y
m
en
t
co
u
n
s
e
l
lin
g
s
y
s
tem
th
at
ad
eq
u
ately
ad
d
r
ess
es
th
e
co
m
p
lex
ity
o
f
c
h
allen
g
es
b
r
o
u
g
h
t
ab
o
u
t
b
y
talen
t
m
an
ag
e
m
en
t
an
d
talen
t
d
ev
elo
p
m
en
t.
T
h
e
m
ain
aim
o
f
th
e
cu
r
r
en
t
s
tu
d
y
is
to
p
r
esen
t
ac
t
io
n
ab
le
k
n
o
wled
g
e
to
p
r
ac
titi
o
n
er
s
an
d
ac
ad
em
ics
alik
e
in
th
e
f
ield
o
f
h
u
m
an
r
eso
u
r
ce
m
a
n
ag
em
e
n
t
an
d
ta
len
t
ac
q
u
is
itio
n
th
r
o
u
g
h
t
h
e
g
en
er
al
e
x
am
in
atio
n
o
f
r
esea
r
ch
m
eth
o
d
o
l
o
g
y
,
ch
allen
g
es e
n
co
u
n
ter
ed
,
an
d
a
r
ea
s
f
o
r
im
p
r
o
v
em
e
n
t.
3.
DE
S
I
G
N
O
F
T
H
E
P
RO
P
O
S
E
D
SYS
T
E
M
T
h
is
s
ec
tio
n
p
r
o
v
id
es
a
co
m
p
r
eh
en
s
iv
e
o
v
er
v
iew
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
,
f
o
cu
s
in
g
o
n
t
h
e
o
v
er
all
ar
ch
itectu
r
e,
d
ata
-
g
ath
e
r
in
g
m
eth
o
d
s
,
p
r
ep
r
o
ce
s
s
in
g
tech
n
iq
u
es,
s
k
ill
co
llectio
n
f
r
o
m
a
ca
n
d
id
ate
'
s
r
esu
m
e
an
d
jo
b
d
escr
ip
tio
n
,
v
ec
to
r
g
e
n
er
atio
n
,
s
k
ill
-
b
ased
clu
s
ter
c
r
ea
tio
n
an
d
jo
b
r
an
k
in
g
tech
n
iq
u
es
em
p
lo
y
e
d
in
its
im
p
lem
en
tatio
n
.
Fig
u
r
e
1
illu
s
tr
ates
th
e
ap
p
r
o
ac
h
em
p
lo
y
ed
to
im
p
lem
en
t
an
i
n
tellig
en
t
jo
b
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
u
tili
s
in
g
NL
P
an
d
ML
tech
n
iq
u
es.
T
h
e
s
y
s
tem
's
ar
ch
itectu
r
e
co
m
p
r
is
es
f
iv
e
m
ain
p
h
ases
:
d
ata
co
llectio
n
,
p
r
ep
r
o
ce
s
s
in
g
,
v
ec
t
o
r
i
s
atio
n
,
clu
s
ter
in
g
,
a
n
d
j
o
b
r
an
k
in
g
.
I
n
itially
,
d
ata
was
co
ll
ec
ted
with
t
h
e
h
elp
o
f
web
s
cr
ap
in
g
f
r
o
m
s
o
u
r
ce
s
s
u
ch
as
th
e
Ap
if
y
API
[
1
7
]
,
f
o
c
u
s
in
g
o
n
p
latf
o
r
m
s
lik
e
I
n
d
ee
d
[
1
8
]
a
n
d
p
o
ten
tially
L
in
k
e
d
I
n
[
1
9
]
.
T
h
is
d
ata
was
ex
tr
ac
ted
to
g
en
e
r
ate
a
jo
b
d
atab
ase.
I
n
th
e
p
r
ep
r
o
ce
s
s
in
g
p
h
ase,
NL
P
tech
n
iq
u
es
s
u
ch
as
lo
w
er
ca
s
in
g
,
p
u
n
ct
u
atio
n
r
em
o
v
a
l,
an
d
to
k
en
i
s
atio
n
wer
e
a
p
p
l
ied
to
ex
tr
ac
t
s
k
ills
f
r
o
m
b
o
t
h
ca
n
d
id
ates
'
r
esu
m
e
s
an
d
jo
b
d
escr
ip
tio
n
s
.
W
o
r
d
em
b
ed
d
in
g
m
eth
o
d
W
o
r
d
2
V
ec
w
as
u
til
i
s
ed
to
r
ep
r
esen
t e
x
tr
ac
ted
s
k
ills
in
th
e
f
o
r
m
o
f
n
u
m
er
ical
v
ec
t
o
r
s
.
Fu
r
th
er
m
o
r
e
,
ag
g
lo
m
er
ativ
e
c
lu
s
t
er
in
g
alg
o
r
ith
m
s
wer
e
em
p
lo
y
ed
to
g
r
o
u
p
s
im
ilar
jo
b
d
escr
ip
tio
n
s
k
ills
in
to
clu
s
ter
s
,
wh
er
e
ty
p
ically
ar
o
u
n
d
f
i
v
e
clu
s
ter
s
wer
e
f
o
r
m
e
d
b
ased
o
n
u
s
er
-
d
ef
in
ed
p
ar
am
eter
s
.
Su
b
s
eq
u
en
tly
,
class
if
icatio
n
alg
o
r
ith
m
s
SVM,
Naiv
e
B
ay
es,
KNN
,
an
d
R
an
d
o
m
Fo
r
est
wer
e
t
r
ain
ed
u
s
in
g
jo
b
d
escr
ip
tio
n
s
k
ills
as
f
ea
tu
r
e
s
an
d
clu
s
ter
n
u
m
b
er
s
as
l
ab
els.
T
o
d
em
o
n
s
tr
ate
th
e
ap
p
licab
ilit
y
o
f
th
e
im
p
lem
en
ted
m
o
d
el,
th
e
s
y
s
te
m
was
test
ed
b
y
p
r
o
v
id
in
g
th
e
ca
n
d
id
ate
's
r
esu
m
e
as
in
p
u
t,
an
d
th
e
r
esu
lt
was
d
eliv
er
ed
b
y
p
r
ed
ictin
g
th
e
a
p
p
r
o
p
r
iate
clu
s
ter
to
wh
ic
h
it
b
elo
n
g
s
.
Fin
ally
,
E
u
clid
ea
n
s
im
ilar
ity
m
ea
s
u
r
es
wer
e
ca
lcu
lated
to
r
an
k
an
d
r
ec
o
m
m
en
d
th
e
t
o
p
1
0
j
o
b
s
wi
th
in
th
e
p
r
ed
icted
clu
s
ter
to
t
h
e
u
s
er
t
o
f
ac
ilit
ate
ef
f
icien
t jo
b
m
atc
h
in
g
.
3
.
1
.
Resum
e
inp
ut
a
nd
pa
rsin
g
A
p
r
im
ar
y
p
h
ase
in
th
e
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
was
g
a
th
er
in
g
r
esu
m
es
f
r
o
m
u
s
er
s
o
r
o
u
ts
id
e
s
o
u
r
ce
s
.
A
v
ar
iety
o
f
m
eth
o
d
s
,
f
o
r
ex
am
p
le,
d
ir
ec
t
u
p
lo
a
d
s
v
ia
th
e
s
y
s
tem
'
s
in
ter
f
ac
e
o
r
in
ter
ac
tio
n
with
alr
ea
d
y
e
x
is
tin
g
d
atab
ases
th
a
t
co
n
tain
r
esu
m
es,
ca
n
b
e
u
s
ed
to
g
ath
er
r
esu
m
es.
T
h
e
s
y
s
tem
s
u
p
p
o
r
ts
PDF
f
iles
f
o
r
h
an
d
lin
g
r
esu
m
es
f
r
o
m
d
iv
e
r
s
e
s
o
u
r
ce
s
.
Af
te
r
ac
q
u
ir
in
g
th
e
m
,
a
p
ar
s
in
g
o
p
er
atio
n
was
p
er
f
o
r
m
e
d
t
o
ex
tr
ac
t
p
er
tin
en
t
d
ata,
in
clu
d
i
n
g
th
e
ca
n
d
id
ate'
s
co
n
tact
d
etails,
ed
u
ca
tio
n
,
ex
p
er
ien
ce
s
,
a
n
d
ab
ilit
ies.
Par
s
in
g
was
ca
r
r
ied
o
u
t
with
th
e
Py
PDF2
[
2
0
]
s
p
ec
if
ic
Py
t
h
o
n
lib
r
ar
ies
th
at
ca
n
p
r
o
ce
s
s
tex
t
u
al
d
ata
ef
f
icien
tly
.
Py
PDF2
aid
s
in
p
r
ec
is
ely
lo
c
atin
g
an
d
ex
tr
a
ctin
g
p
ar
ticu
lar
r
esu
m
e
p
o
r
tio
n
s
.
An
ex
ten
s
io
n
o
f
s
k
ills
is
v
ital,
p
ar
ticu
lar
ly
in
t
h
e
later
s
tag
e
s
o
f
th
e
r
ec
o
m
m
en
d
atio
n
p
r
o
ce
s
s
.
3
.
2
.
Web
s
cr
a
pin
g
j
o
b
s
it
es
W
eb
s
cr
ap
in
g
jo
b
s
ites
:
I
n
d
ee
d
,
L
in
k
e
d
I
n
an
d
Glass
d
o
o
r
ar
e
u
s
ef
u
l
f
o
r
co
llectin
g
d
iv
er
s
e
jo
b
d
escr
ip
tio
n
s
,
wh
ich
s
er
v
e
as
t
h
e
b
asis
f
o
r
m
atch
i
n
g
ca
n
d
id
a
tes
with
s
u
itab
le
jo
b
o
p
p
o
r
tu
n
ities
.
W
eb
s
cr
ap
in
g
in
v
o
lv
es
th
e
p
r
o
g
r
am
m
atic
ex
tr
ac
tio
n
o
f
d
ata
f
r
o
m
web
p
a
g
es,
ty
p
ically
u
s
in
g
s
p
ec
iali
s
ed
API
s
lik
e
Ap
if
y
.
T
h
ese
to
o
ls
p
r
o
v
i
d
e
f
u
n
ctio
n
a
liti
es
to
n
av
ig
ate
th
r
o
u
g
h
we
b
p
ag
es,
lo
ca
te
s
p
ec
if
ic
elem
en
ts
co
n
tain
in
g
jo
b
lis
tin
g
s
,
an
d
ex
tr
ac
t
r
elev
an
t
in
f
o
r
m
atio
n
s
u
ch
as
jo
b
titl
es,
d
escr
ip
tio
n
s
,
an
d
r
eq
u
i
r
em
e
n
ts
.
Ho
wev
er
,
web
s
cr
ap
in
g
p
o
s
es
v
ar
io
u
s
ch
alle
n
g
es,
in
clu
d
in
g
h
a
n
d
lin
g
d
y
n
am
ic
co
n
ten
t,
m
an
ag
in
g
r
ate
l
im
its
,
an
d
en
s
u
r
in
g
d
ata
in
teg
r
ity
.
T
o
ad
d
r
ess
th
ese
ch
allen
g
es,
t
h
e
s
cr
ap
in
g
p
r
o
ce
s
s
s
h
o
u
ld
b
e
ca
r
ef
u
lly
d
esig
n
ed
an
d
o
p
tim
i
s
ed
to
m
in
im
i
s
e
th
e
r
is
k
o
f
er
r
o
r
s
an
d
d
is
r
u
p
ti
o
n
s
.
3.
3
.
P
re
pro
ce
s
s
ing
us
ing
NL
P
t
ec
hn
iqu
es
T
o
im
p
r
o
v
e
th
e
q
u
ality
an
d
c
o
h
er
en
ce
o
f
th
e
d
ata,
p
r
e
p
r
o
c
ess
in
g
tex
tu
al
d
ata
f
r
o
m
j
o
b
d
escr
ip
tio
n
s
an
d
ca
n
d
id
ate
'
s
r
esu
m
es
was
ess
en
tial.
I
n
th
e
p
r
ep
r
o
ce
s
s
in
g
p
h
ase,
v
ar
i
o
u
s
s
tep
s
wer
e
p
r
esen
t,
s
u
ch
as
lo
wer
ca
s
in
g
all
tex
t
to
m
ain
t
ain
co
n
s
is
ten
cy
an
d
d
eletin
g
s
p
ec
ial
letter
s
an
d
p
u
n
ctu
atio
n
to
r
ed
u
ce
n
o
is
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
n
in
tellig
en
t sys
tem
fo
r
jo
b
r
ec
o
mme
n
d
a
tio
n
b
a
s
ed
o
n
s
ema
n
tic
…
(
Ha
r
d
ik
Ja
in
)
453
Fu
r
th
er
m
o
r
e
,
co
m
m
o
n
,
u
n
in
f
o
r
m
ativ
e
ter
m
s
th
at
d
o
n
'
t
ad
d
a
n
y
t
h
in
g
to
t
h
e
tex
t'
s
m
ea
n
in
g
wer
e
f
ilter
ed
awa
y
u
s
in
g
s
to
p
wo
r
d
r
em
o
v
al.
B
y
s
tan
d
ar
d
i
s
in
g
th
e
tex
tu
al
d
ata
,
th
ese
p
r
ep
r
o
ce
s
s
in
g
p
r
o
ce
d
u
r
es
en
ab
le
it
to
b
e
u
s
ed
f
o
r
a
d
d
itio
n
al
a
n
aly
s
is
an
d
m
o
d
e
l
lin
g
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Fig
u
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1
.
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rd2
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Vec
to
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[
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3
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[
2
4
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B
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ip
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3.
5
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Vec
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ilar
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lcu
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id
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ilar
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ate
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h
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ilar
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E
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d
ate
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it f
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o
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3.
6
.
Ra
n
k
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a
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b r
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mm
enda
t
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T
h
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last
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b
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th
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ca
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d
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ates'
s
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jo
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1
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∗
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h
ar
m
o
n
ic
m
ea
n
o
f
r
ec
all
an
d
p
r
ec
is
io
n
,
o
n
e
ca
n
ca
lcu
late
th
e
F1
s
co
r
e.
I
t
o
f
f
er
s
a
s
in
g
le
m
etr
ic
th
at
b
alan
ce
s
th
e
tr
ad
eo
f
f
b
et
wee
n
p
r
ec
is
io
n
an
d
r
ec
all.
W
h
en
th
er
e
is
an
u
n
ev
e
n
d
is
tr
ib
u
tio
n
o
f
class
es,
it
is
in
v
alu
ab
le
.
4
.
3
.
So
f
t
wa
re
s
t
a
c
k
T
h
e
s
u
g
g
ested
in
tellig
en
t
jo
b
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
b
ase
d
o
n
s
em
an
tic
an
al
y
s
is
o
f
th
e
r
esu
m
e
is
titl
ed
th
e
"E
asy
J
o
b
"
p
r
o
ject.
T
h
e
s
elec
tio
n
o
f
f
r
o
n
te
n
d
,
b
ac
k
en
d
,
an
d
d
ev
elo
p
m
en
t
to
o
ls
is
a
cr
u
cial
f
ac
to
r
in
th
e
d
ev
elo
p
m
en
t
o
f
"
E
asy
J
o
b
"
as
it
d
ir
ec
tly
in
f
lu
en
ce
s
th
e
s
u
cc
ess
o
f
p
r
o
ject
g
o
als
a
n
d
th
e
d
eliv
e
r
y
o
f
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
n
in
tellig
en
t sys
tem
fo
r
jo
b
r
ec
o
mme
n
d
a
tio
n
b
a
s
ed
o
n
s
ema
n
tic
…
(
Ha
r
d
ik
Ja
in
)
455
s
ea
m
less
u
s
er
ex
p
er
ien
ce
.
T
h
e
u
s
e
o
f
HT
ML
,
C
S
S,
an
d
Py
th
o
n
in
f
r
o
n
ten
d
d
e
v
elo
p
m
en
t
allo
ws
f
o
r
th
e
d
eliv
er
y
o
f
a
v
is
u
ally
p
leasan
t
an
d
u
s
er
-
f
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ien
d
l
y
in
ter
f
ac
e
th
at
r
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o
n
d
s
to
th
e
n
ee
d
s
o
f
th
e
jo
b
s
ee
k
er
an
d
em
p
lo
y
er
.
HT
ML
is
th
e
b
asic
f
r
am
ewo
r
k
o
f
web
p
ag
es,
co
n
tr
o
llin
g
t
h
eir
lay
o
u
t
a
n
d
c
o
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ten
t
.
C
SS
p
r
o
v
id
es
v
is
u
al
ap
p
ea
l
b
y
im
p
o
s
in
g
s
ty
les,
co
lo
u
r
s
ch
em
es,
an
d
lay
o
u
ts
,
th
u
s
o
f
f
er
in
g
an
in
ter
ac
ti
v
e
u
s
er
ex
p
er
ie
n
ce
.
Py
th
o
n
,
b
ein
g
h
ig
h
l
y
v
er
s
atile
an
d
s
im
p
le
to
u
s
e,
p
r
o
v
i
d
es
d
y
n
am
ic
f
u
n
ctio
n
ality
f
o
r
th
e
f
r
o
n
t
en
d
,
allo
win
g
in
ter
ac
tiv
e
f
ea
tu
r
es a
n
d
s
ea
m
less
u
s
er
in
ter
ac
tio
n
s
th
r
o
u
g
h
o
u
t th
e
s
ite.
Flas
k
was
s
elec
ted
as
th
e
b
ac
k
en
d
web
f
r
am
ewo
r
k
to
en
h
a
n
ce
th
e
f
r
o
n
ten
d
tech
n
o
lo
g
y
.
Flas
k
o
f
f
er
s
a
r
o
b
u
s
t
an
d
s
ca
lab
le
s
o
lu
ti
o
n
f
o
r
s
er
v
er
-
s
id
e
lo
g
ic
an
d
d
ata
p
r
o
ce
s
s
in
g
.
Flas
k
'
s
th
i
n
an
d
lig
h
t
lay
er
ar
ch
itectu
r
e
m
a
k
es
it
esp
ec
ially
well
-
s
u
ited
f
o
r
web
ap
p
licatio
n
d
e
v
elo
p
m
e
n
t
o
n
th
e
in
ter
n
et,
with
o
p
tim
i
s
e
d
r
o
u
tin
g
,
r
e
q
u
est
h
an
d
lin
g
,
an
d
d
ata
p
r
o
ce
s
s
in
g
m
ec
h
an
is
m
s
.
W
h
en
in
teg
r
ated
with
Py
th
o
n
p
r
o
p
er
ly
,
Flas
k
f
ac
ilit
ates
s
im
p
le
ap
p
licatio
n
o
f
b
u
s
in
ess
lo
g
ic,
u
s
er
au
th
e
n
ticatio
n
,
an
d
d
ata
p
r
o
ce
s
s
in
g
,
th
u
s
en
s
u
r
in
g
th
e
ef
f
ec
tiv
e
f
u
n
ctio
n
in
g
o
f
t
h
e
"E
asy
J
o
b
"
p
latf
o
r
m
.
Fu
r
th
er
m
o
r
e
,
th
e
p
r
o
ject
em
p
lo
y
s
GitHu
b
as
a
v
er
s
io
n
co
n
tr
o
l
p
latf
o
r
m
an
d
en
h
a
n
ce
d
co
ll
ab
o
r
atio
n
b
etwe
en
d
ev
elo
p
m
e
n
t
team
s
.
T
h
is
f
ac
ilit
ate
s
p
r
o
p
er
co
d
e
m
an
ag
em
en
t,
ch
an
g
e
tr
ac
k
in
g
,
an
d
s
ea
m
less
in
teg
r
atio
n
o
f
n
ew
f
ea
tu
r
es.
T
h
e
co
llab
o
r
ativ
e
to
o
ls
p
r
o
v
i
d
ed
b
y
GitHu
b
,
in
clu
d
in
g
p
u
l
l
r
eq
u
ests
an
d
co
d
e
r
ev
iew
s
,
en
h
an
ce
team
p
r
o
d
u
c
tiv
ity
an
d
co
d
e
q
u
ality
,
th
u
s
ti
m
ely
d
eliv
er
y
o
f
h
ig
h
-
q
u
ality
s
o
f
twar
e.
T
h
e
p
r
o
ject
u
tili
s
es
th
e
Ap
if
y
API
,
a
r
o
b
u
s
t
web
s
cr
ap
er
an
d
au
to
m
atio
n
to
o
l,
in
j
o
b
lis
tin
g
r
etr
iev
al
an
d
d
ata
p
r
o
ce
s
s
in
g
.
T
h
r
o
u
g
h
th
e
Ap
if
y
API
,
th
e
p
r
o
ject
f
a
c
ilit
ates
th
e
g
ath
er
in
g
o
f
jo
b
d
ata
f
r
o
m
d
if
f
er
en
t
web
s
ites
an
d
jo
b
s
ite
s
,
th
u
s
c
r
ea
tin
g
a
m
ass
iv
e
d
atab
ase
f
o
r
em
p
lo
y
er
s
an
d
jo
b
s
ee
k
er
s
.
T
h
e
p
r
o
ject'
s
m
ain
o
b
jectiv
e
is
to
m
ak
e
em
p
lo
y
e
r
s
an
d
jo
b
s
ee
k
e
r
s
m
o
r
e
ef
f
ic
ien
t
an
d
ef
f
e
ctiv
e
with
th
e
p
l
atf
o
r
m
th
r
o
u
g
h
th
e
au
to
m
atio
n
o
f
th
e
jo
b
lis
tin
g
r
etr
iev
al
p
r
o
ce
s
s
,
th
u
s
en
s
u
r
in
g
th
e
d
eliv
er
y
o
f
u
p
d
ated
an
d
co
m
p
lete
jo
b
lis
tin
g
s
.
T
h
e
"E
asy
J
o
b
"
p
r
o
ject
is
b
a
s
ed
o
n
th
e
s
tr
ateg
ic
u
s
e
o
f
t
o
o
ls
lik
e
Py
t
h
o
n
,
Flas
k
,
HT
ML
,
C
SS
,
GitHu
b
,
Ap
if
y
API
,
an
d
J
u
p
y
t
er
No
teb
o
o
k
.
Su
ch
a
b
ase
allo
ws
th
e
d
ev
elo
p
m
en
t
o
f
a
p
latf
o
r
m
th
at
is
k
n
o
w
n
f
o
r
u
s
ab
ilit
y
,
s
ca
lab
ilit
y
,
an
d
h
ig
h
f
ea
tu
r
es
in
f
av
o
u
r
o
f
jo
b
s
ee
k
er
s
an
d
em
p
lo
y
e
r
s
.
T
h
e
u
s
e
o
f
s
u
ch
to
o
ls
an
d
tech
n
o
lo
g
y
allo
ws
t
h
e
p
r
o
ject
to
e
n
h
an
ce
th
e
jo
b
s
ea
r
ch
ex
p
er
ien
ce
,
cr
ea
te
i
n
ter
ac
t
io
n
s
b
etwe
en
jo
b
s
ee
k
er
s
an
d
ap
p
r
o
p
r
iate
o
p
p
o
r
tu
n
ities
,
an
d
em
p
o
wer
e
m
p
lo
y
e
r
s
to
f
in
d
ap
p
r
o
p
r
iate
ca
n
d
id
ates q
u
ic
k
ly
.
T
h
e
s
u
cc
ess
o
f
"E
asy
J
o
b
"
as
a
v
alu
a
b
le
r
eso
u
r
ce
in
t
h
e
jo
b
m
ar
k
et
is
attr
ib
u
ted
to
its
ca
r
ef
u
l
p
la
n
n
in
g
,
d
ev
elo
p
m
en
t,
a
n
d
in
teg
r
atio
n
p
h
as
es.
T
h
e
p
latf
o
r
m
f
ac
ilit
ates
s
m
o
o
th
in
ter
ac
tio
n
b
etwe
en
em
p
lo
y
er
s
an
d
jo
b
s
ee
k
er
s
,
th
u
s
en
h
an
cin
g
th
e
o
v
er
all
ef
f
icien
cy
an
d
e
f
f
ec
tiv
en
ess
o
f
th
e
r
ec
r
u
itm
en
t p
r
o
ce
s
s
.
5.
RE
SU
L
T
S AN
D
AN
AL
Y
SI
S
T
h
is
s
ec
tio
n
p
r
esen
ts
th
e
d
er
iv
ed
r
esu
lts
in
two
f
o
r
m
s
:
i
)
r
e
s
ea
r
ch
-
b
ased
,
wh
er
e
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
tr
ain
ed
m
o
d
els
was
ev
alu
ated
an
d
ii
)
r
ea
ltime
ex
ec
u
t
io
n
th
r
o
u
g
h
a
we
b
s
ite.
Fu
th
er
th
e
d
is
cu
s
s
io
n
is
co
n
d
u
cte
d
b
ased
o
n
th
e
p
r
o
m
in
en
t
o
b
s
er
v
atio
n
s
o
f
au
t
h
o
r
s
.
T
h
e
d
ev
elo
p
ed
s
y
s
tem
is
av
ailab
le
f
o
r
u
s
e
o
n
GitHu
b
,
th
u
s
o
th
er
r
esear
ch
er
s
ca
n
co
n
f
ig
u
r
e
it to
u
n
d
er
s
tan
d
th
e
p
r
o
ce
s
s
.
5
.
1
.
M
o
dels
perf
o
rm
a
nce
e
v
a
lua
t
io
n
T
h
e
ab
ilit
y
to
im
p
r
o
v
e
th
e
jo
b
s
ea
r
ch
ex
p
er
ien
ce
an
d
p
r
o
d
u
c
tiv
ity
is
b
en
ef
icial
with
t
h
e
e
m
p
l
o
y
m
e
n
t
o
f
a
jo
b
s
u
g
g
esti
o
n
s
y
s
tem
in
teg
r
atin
g
r
esu
m
e
p
ar
s
in
g
,
we
b
s
cr
ap
in
g
,
a
n
d
ML
class
if
ier
s
.
T
h
e
em
p
lo
y
m
e
n
t
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
im
p
r
o
v
es
th
e
u
s
er
ex
p
er
i
en
ce
s
ig
n
if
ican
tly
b
y
o
f
f
er
in
g
em
p
lo
y
m
en
t
r
ec
o
m
m
en
d
atio
n
s
b
ased
o
n
th
e
s
p
ec
if
ic
s
k
ills
an
d
in
ter
est
s
o
f
ev
e
r
y
u
s
er
.
T
h
e
ea
s
y
ac
ce
s
s
ib
ilit
y
o
f
s
u
itab
le
em
p
lo
y
m
e
n
t o
p
p
o
r
tu
n
ities
lead
s
to
a
r
is
e
in
th
e
o
v
er
all
s
ati
s
f
ac
tio
n
lev
els o
f
th
e
em
p
lo
y
m
e
n
t seek
er
s
,
wh
ile
a
t
th
e
s
am
e
tim
e
h
elp
in
g
to
id
en
t
if
y
th
e
r
ig
h
t e
m
p
lo
y
m
en
t
o
p
p
o
r
tu
n
ities
ac
cu
r
ately
.
I
n
ad
d
itio
n
,
th
e
in
clu
s
io
n
o
f
a
u
to
m
ated
p
r
o
ce
d
u
r
es
in
th
e
s
y
s
tem
,
in
clu
d
in
g
r
esu
m
e
p
ar
s
in
g
an
d
s
k
ill
m
atch
in
g
,
wo
u
ld
s
ig
n
if
ica
n
tly
im
p
r
o
v
e
o
p
er
atin
g
ef
f
icien
cy
f
o
r
o
r
g
an
is
atio
n
s
an
d
jo
b
ap
p
l
ican
ts
.
Au
to
m
atin
g
th
e
ca
n
d
id
ate
-
jo
b
m
atch
in
g
p
r
o
ce
s
s
s
u
b
s
tan
tiall
y
r
ed
u
ce
s
th
e
tim
e
-
co
n
s
u
m
in
g
a
n
d
cu
m
b
er
s
o
m
e
asp
ec
ts
in
v
o
lv
ed
with
m
a
n
u
al
s
cr
ee
n
in
g
an
d
e
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I
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m
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s
y
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tem
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h
e
p
r
o
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u
s
es a
s
y
s
tem
atic
ap
p
r
o
ac
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:
−
R
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Up
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GitHu
b
[
2
5
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
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n
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J
E
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E
n
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&
C
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p
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I
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2502
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4
7
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