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ffm-baseline
Commits
a8371d07
Commit
a8371d07
authored
Jun 11, 2020
by
赵威
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17 additions
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2 deletions
+17
-2
tag3_update_user_portrait_offline.py
eda/smart_rank/tag3_update_user_portrait_offline.py
+17
-2
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eda/smart_rank/tag3_update_user_portrait_offline.py
View file @
a8371d07
...
@@ -27,6 +27,19 @@ def make_dict_from_pair(x):
...
@@ -27,6 +27,19 @@ def make_dict_from_pair(x):
return
dict
(
zip
(
x
[
0
],
[
x
[
1
]]
*
len
(
x
[
0
])))
return
dict
(
zip
(
x
[
0
],
[
x
[
1
]]
*
len
(
x
[
0
])))
# [('点击内容卡片', {'假体隆胸': 1.9067764699346477}), ('点击内容卡片', {'植发': 1.9067764699346477, '植发际线': 1})]
def
merge_results_by_event
(
lst
):
res
=
{}
for
i
in
a
:
event_cn
=
i
[
0
]
d
=
i
[
1
]
if
event_cn
not
in
res
:
res
[
event_cn
]
=
[
d
]
else
:
res
[
event_cn
]
.
append
(
d
)
return
res
def
update_tag3_user_portrait_by_event
(
cl_id
):
def
update_tag3_user_portrait_by_event
(
cl_id
):
user_df
=
get_tag3_user_log
(
cl_id
)
user_df
=
get_tag3_user_log
(
cl_id
)
if
not
user_df
.
empty
:
if
not
user_df
.
empty
:
...
@@ -52,9 +65,11 @@ def update_tag3_user_portrait_by_event(cl_id):
...
@@ -52,9 +65,11 @@ def update_tag3_user_portrait_by_event(cl_id):
user_df
[
"second_demands"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"second_demands_dict"
]))
user_df
[
"second_demands"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"second_demands_dict"
]))
user_df
[
"first_positions"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"first_positions_dict"
]))
user_df
[
"first_positions"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"first_positions_dict"
]))
user_df
[
"second_positions"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"second_positions_dict"
]))
user_df
[
"second_positions"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"second_positions_dict"
]))
user_df
[
"projects_dict"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"projects_dict"
]))
user_df
[
"projects"
]
=
list
(
zip
(
user_df
[
"event_cn"
],
user_df
[
"projects_dict"
]))
first_solutions_list
=
user_df
[
"first_solutions"
]
.
tolist
()
print
(
user_df
)
print
(
first_solutions_list
)
return
cl_id
return
cl_id
...
...
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