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alpha
physical
Commits
83264ece
Commit
83264ece
authored
Mar 28, 2019
by
段英荣
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parent
3cf49537
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4 changed files
with
23 additions
and
17 deletions
+23
-17
collect_data.py
linucb/views/collect_data.py
+4
-3
linucb.py
linucb/views/linucb.py
+7
-6
topic.py
search/utils/topic.py
+9
-5
topic.py
search/views/topic.py
+3
-3
No files found.
linucb/views/collect_data.py
View file @
83264ece
...
...
@@ -47,18 +47,19 @@ class CollectData(object):
def
update_recommend_tag_list
(
self
,
device_id
,
user_feature
=
None
):
try
:
recommend_tag_list
=
list
()
recommend_tag_dict
=
dict
()
redis_linucb_tag_data_dict
=
self
.
_get_user_linucb_info
(
device_id
)
if
len
(
redis_linucb_tag_data_dict
)
==
0
:
recommend_tag_list
=
LinUCB
.
get_default_tag_list
()
LinUCB
.
init_device_id_linucb_info
(
redis_client
,
self
.
linucb_matrix_redis_prefix
,
device_id
,
recommend_tag_list
)
else
:
user_feature
=
user_feature
if
user_feature
else
self
.
user_feature
recommend_tag_
lis
t
=
LinUCB
.
linucb_recommend_tag
(
device_id
,
redis_linucb_tag_data_dict
,
user_feature
,
list
(
redis_linucb_tag_data_dict
.
keys
()))
recommend_tag_
dic
t
=
LinUCB
.
linucb_recommend_tag
(
device_id
,
redis_linucb_tag_data_dict
,
user_feature
,
list
(
redis_linucb_tag_data_dict
.
keys
()))
logging
.
info
(
"duan add,device_id:
%
s,recommend_tag_list:
%
s"
%
(
str
(
device_id
),
str
(
recommend_tag_list
)))
if
len
(
recommend_tag_
lis
t
)
>
0
:
if
len
(
recommend_tag_
dic
t
)
>
0
:
tag_recommend_redis_key
=
self
.
linucb_recommend_redis_prefix
+
str
(
device_id
)
redis_client
.
set
(
tag_recommend_redis_key
,
json
.
dumps
(
recommend_tag_
lis
t
))
redis_client
.
set
(
tag_recommend_redis_key
,
json
.
dumps
(
recommend_tag_
dic
t
))
# Todo:设置过期时间,调研set是否支持
redis_client
.
expire
(
tag_recommend_redis_key
,
7
*
24
*
60
*
60
)
...
...
linucb/views/linucb.py
View file @
83264ece
...
...
@@ -70,7 +70,7 @@ class LinUCB:
#art_max = tag_list[np.argmax(np.dot(xaT, theta_tmp) + cls.alpha * np.sqrt(np.dot(np.dot(xaT, AaI_tmp), xa)))]
top_tag_
set
=
se
t
()
top_tag_
dict
=
dic
t
()
np_score_list
=
list
()
np_score_dict
=
dict
()
...
...
@@ -85,18 +85,19 @@ class LinUCB:
sorted_np_score_list
=
sorted
(
np_score_list
,
reverse
=
True
)
for
top_score
in
sorted_np_score_list
:
for
top_score_index
in
np_score_dict
[
top_score
]:
top_tag_set
.
add
(
str
(
tag_list
[
top_score_index
],
encoding
=
"utf-8"
))
if
len
(
top_tag_set
)
>=
100
:
tag_id
=
str
(
tag_list
[
top_score_index
],
encoding
=
"utf-8"
)
top_tag_dict
[
tag_id
]
=
top_score
if
len
(
top_tag_dict
)
>=
50
:
break
if
len
(
top_tag_
set
)
>=
10
0
:
if
len
(
top_tag_
dict
)
>=
5
0
:
break
logging
.
info
(
"duan add,device_id:
%
s,sorted_np_score_list:
%
s,np_score_dict:
%
s"
%
(
str
(
device_id
),
str
(
sorted_np_score_list
),
str
(
np_score_dict
)))
return
list
(
top_tag_set
)
return
top_tag_dict
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
[]
return
{}
@classmethod
def
init_device_id_linucb_info
(
cls
,
redis_cli
,
redis_prefix
,
device_id
,
tag_list
):
...
...
search/utils/topic.py
View file @
83264ece
...
...
@@ -121,7 +121,7 @@ class TopicUtils(object):
@classmethod
def
get_recommend_topic_ids
(
cls
,
user_id
,
tag_id
,
offset
,
size
,
single_size
,
query
=
None
,
query_type
=
TopicPageType
.
FIND_PAGE
,
filter_topic_id_list
=
[],
test_score
=
False
,
must_topic_id_list
=
[],
recommend_tag_
list
=
[]
,
filter_topic_id_list
=
[],
test_score
=
False
,
must_topic_id_list
=
[],
recommend_tag_
dict
=
{}
,
user_similar_score_list
=
[],
index_type
=
"topic"
):
"""
:需增加打散逻辑
...
...
@@ -224,12 +224,11 @@ class TopicUtils(object):
"weight"
:
1
}
)
if
len
(
recommend_tag_list
)
>
0
:
for
tag_id
in
recommend_tag_dict
:
functions_list
.
append
(
{
"filter"
:
{
"bool"
:
{
"should"
:
{
"terms"
:
{
"tag_list"
:
recommend_tag_list
}}}},
"weight"
:
3
"filter"
:
{
"term"
:
{
"tag_list"
:
tag_id
}},
"weight"
:
3
+
recommend_tag_dict
[
tag_id
]
}
)
...
...
@@ -320,6 +319,11 @@ class TopicUtils(object):
"order"
:
"desc"
}
},
# {
# "offline_score":{
# "order": "desc"
# }
# },
"_score"
]
result_dict
=
ESPerform
.
get_search_results
(
ESPerform
.
get_cli
(),
sub_index_name
=
index_type
,
query_body
=
q
,
...
...
search/views/topic.py
View file @
83264ece
...
...
@@ -57,10 +57,10 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
tag_recommend_redis_key
=
"physical:linucb:tag_recommend:device_id:"
+
str
(
device_id
)
recommend_tag_
list
=
[]
recommend_tag_
dict
=
dict
()
tag_recommend_val
=
redis_client
.
get
(
tag_recommend_redis_key
)
if
tag_recommend_val
:
recommend_tag_
lis
t
=
json
.
loads
(
str
(
tag_recommend_val
,
encoding
=
"utf-8"
))
recommend_tag_
dic
t
=
json
.
loads
(
str
(
tag_recommend_val
,
encoding
=
"utf-8"
))
recommend_topic_ids
=
[]
have_read_topic_id_list
=
list
()
...
...
@@ -80,7 +80,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
topic_id_list
=
TopicUtils
.
get_recommend_topic_ids
(
user_id
=
user_id
,
tag_id
=
tag_id
,
offset
=
offset
,
size
=
size
,
single_size
=
size
,
query
=
query
,
query_type
=
query_type
,
filter_topic_id_list
=
have_read_topic_id_list
,
recommend_tag_
list
=
recommend_tag_lis
t
,
recommend_tag_
dict
=
recommend_tag_dic
t
,
user_similar_score_list
=
user_similar_score_redis_list
,
index_type
=
"topic-high-star"
)
have_read_group_id_set
=
set
()
have_read_user_id_set
=
set
()
...
...
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