| 
					
				 | 
			
			
				@@ -66,6 +66,8 @@ public class RankStrategy4RegionMergeModelV566 extends RankStrategy4RegionMergeM 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         RecallUtils.extractRecall(mergeWeight.getOrDefault("headCate2RecallN", 3.0).intValue(), param, HeadProvinceCate2RecallStrategy.PUSH_FORM, setVideo, rovRecallRank); 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         //-------------------head cate2 of rovn------------------ 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         RecallUtils.extractRecall(mergeWeight.getOrDefault("headCate2Rov", 5.0).intValue(), param, HeadCate2RovRecallStrategy.PUSH_FROM, setVideo, rovRecallRank); 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				+        //-------------------city rovn------------------ 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				+        RecallUtils.extractRecall(mergeWeight.getOrDefault("cityRov", 5.0).intValue(), param, CityRovnRecallStrategy.PUSH_FROM, setVideo, rovRecallRank); 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				  
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         //-------------------排------------------- 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         //-------------------序------------------- 
			 | 
		
	
	
		
			
				| 
					
				 | 
			
			
				@@ -97,7 +99,7 @@ public class RankStrategy4RegionMergeModelV566 extends RankStrategy4RegionMergeM 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				  
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         // 4. 排序模型计算 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         Map<String, Float> sceneFeatureMap = new HashMap<>(0); 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				-        List<RankItem> items = ScorerUtils.getScorerPipeline("feeds_score_config_fm_xgb_20250423.conf").scoring(sceneFeatureMap, userFeatureMap, userFeatureMap, rankItems); 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				+        List<RankItem> items = ScorerUtils.getScorerPipeline("feeds_score_config_fm_xgb_20250808.conf").scoring(sceneFeatureMap, userFeatureMap, userFeatureMap, rankItems); 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				  
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         // 5. 排序公式特征 
			 | 
		
	
		
			
				 | 
				 | 
			
			
				         double xgbRovNegRate = mergeWeight.getOrDefault("xgbRovNegRate", 0.059); 
			 |