exponential=0

eda/smart_rank/dist_update_user_portrait_service.py

@@ -60,11 +60,11 @@ def get_user_service_portrait(cl_id, all_word_tags, all_tag_tag_type, all_3tag_2
             user_df_service["tag2_type"] = user_df_service.apply(lambda x: all_tag_tag_type.get(x["tag2"]), axis=1)
             # 算分及比例
             user_df_service["tag_score"] = user_df_service.apply(
-                lambda x: compute_henqiang(x.days_diff_now, exponential=1)/get_action_tag_count(user_df_service, x.time) if x.score_type == "henqiang" else (
-                    compute_jiaoqiang(x.days_diff_now, exponential=1)/get_action_tag_count(user_df_service, x.time) if x.score_type == "jiaoqiang" else (
-                        compute_ai_scan(x.days_diff_now, exponential=1)/get_action_tag_count(user_df_service, x.time) if x.score_type == "ai_scan" else (
-                        compute_ruoyixiang(x.days_diff_now, exponential=1)/get_action_tag_count(user_df_service, x.time) if x.score_type == "ruoyixiang" else
-                        compute_validate(x.days_diff_now, exponential=1)/get_action_tag_count(user_df_service, x.time)))), axis=1)
+                lambda x: compute_henqiang(x.days_diff_now, exponential=0)/get_action_tag_count(user_df_service, x.time) if x.score_type == "henqiang" else (
+                    compute_jiaoqiang(x.days_diff_now, exponential=0)/get_action_tag_count(user_df_service, x.time) if x.score_type == "jiaoqiang" else (
+                        compute_ai_scan(x.days_diff_now, exponential=0)/get_action_tag_count(user_df_service, x.time) if x.score_type == "ai_scan" else (
+                        compute_ruoyixiang(x.days_diff_now, exponential=0)/get_action_tag_count(user_df_service, x.time) if x.score_type == "ruoyixiang" else
+                        compute_validate(x.days_diff_now, exponential=0)/get_action_tag_count(user_df_service, x.time)))), axis=1)
             tag_score_sum = user_df_service.groupby(by=["tag2", "tag2_type"]).agg(
                 {'tag_score': 'sum', 'cl_id': 'first', 'action': 'first'}).reset_index().sort_values(by=["tag_score"],
                                                                                                      ascending=False)