modify home_recommend

search/utils/topic.py

@@ -177,24 +177,28 @@ class TopicUtils(object):
                 },
                 {
                     "filter": {
-                        "term": {
-                            "content_level": 6
+                        "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

@@ -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):