用户画像分层影响

eda/smart_rank/dist_update_user_portrait.py

@@ -76,6 +76,12 @@ def compute_validate(x):
         return score
     else:
         return 0.5
+def compute_ai_scan(x):
+    score = 2 - x * ((2 - 0.5) / 180)
+    if score>0.5:
+        return score
+    else:
+        return 0.5
 def tag_list2dict(lst, size):
     result = []
     if lst:
@@ -104,7 +110,8 @@ def get_user_tag_score(cl_id, all_log_df, size=10):
             user_log_df["tag_score"] = user_log_df.apply(
                 lambda x: compute_henqiang(x.days_diff_now) if x.score_type == "henqiang" else (
                     compute_jiaoqiang(x.days_diff_now) if x.score_type == "jiaoqiang" else (
-                        compute_ruoyixiang(x.days_diff_now) if x.score_type == "ruoyixiang" else compute_validate(x.days_diff_now))), axis=1)
+                        compute_ai_scan(x.days_diff_now) if x.score_type == "ai_scan" else (
+                        compute_ruoyixiang(x.days_diff_now) if x.score_type == "ruoyixiang" else compute_validate(x.days_diff_now)))), axis=1)
             finally_score = user_log_df.sort_values(by=["tag_score","time"],ascending=False)
             finally_score.drop_duplicates(subset="tag_id", inplace=True)
             finally_score_lst = finally_score[["tag_id","tag_score"]].to_dict('record')