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Commit 3b5825bb authored by 段英荣's avatar 段英荣
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modify home_recommend

parent 64b074e2
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Showing with 20 additions and 17 deletions
search/utils/topic.py
View file @ 3b5825bb
......@@ -177,24 +177,28 @@ class TopicUtils(object):
},
{
"filter": {
"constant_score":{
"filter":{
"term": {
"content_level": 6
}
}
}
},
"weight": 1000
"weight": 600
}
]
if len(user_similar_score_list) > 0:
for item in user_similar_score_list[:100]:
score_item = 2 + item[1]
functions_list.append(
{
"filter": {"bool": {
"should": {"term": {"user_id": item[0]}}}},
"weight": score_item,
}
)
# if len(user_similar_score_list) > 0:
# for item in user_similar_score_list[:100]:
# score_item = 2 + item[1]
# functions_list.append(
# {
# "filter": {"bool": {
# "should": {"term": {"user_id": item[0]}}}},
# "weight": score_item,
# }
# )
if len(attention_user_id_list) > 0:
functions_list.append(
......
search/views/topic.py
View file @ 3b5825bb
......@@ -73,10 +73,10 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
if offset>0: # 首次搜索时不需要过滤已读
have_read_topic_id_list = list(json.loads(redis_field_val_list[0]))
user_similar_score_redis_key = "physical:user_similar_score:user_id:" + str(user_id)
redis_user_similar_score_redis_val = redis_client.get(user_similar_score_redis_key)
user_similar_score_redis_list = json.loads(
redis_user_similar_score_redis_val) if redis_user_similar_score_redis_val else []
# user_similar_score_redis_key = "physical:user_similar_score:user_id:" + str(user_id)
# redis_user_similar_score_redis_val = redis_client.get(user_similar_score_redis_key)
# user_similar_score_redis_list = json.loads(
# redis_user_similar_score_redis_val) if redis_user_similar_score_redis_val else []
attention_tag_list = list()
recommend_topic_list = list()
......@@ -113,8 +113,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
topic_id_list = list()
rank_topic_id_list = TopicUtils.get_recommend_topic_ids(user_id=user_id, tag_id=tag_id, offset=0, size=size,
single_size=size,query=query, query_type=query_type,
filter_topic_id_list=have_read_topic_id_list,
user_similar_score_list=user_similar_score_redis_list,index_type="topic-high-star",routing="4,5,6",attention_tag_list=attention_tag_list)
filter_topic_id_list=have_read_topic_id_list,index_type="topic-high-star",routing="4,5,6",attention_tag_list=attention_tag_list)
if len(recommend_topic_list) == 6 and query is None:
if (size < 11):
......
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