修改配置

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBasic.java

@@ -47,7 +47,7 @@ public abstract class RankStrategyBasic implements RankStrategy {
     @ApolloJsonValue("${alpha:1.0}")
     protected Double alpha;
 
-    @Value("${calibration:ctcvr.exp:779}")
+    @Value("${calibration.ctcvr.exp:779}")
     protected String calibrationCtcvrExp;
 
     @Value("${correct.cpa.exp.1:}")
@@ -535,7 +535,7 @@ public abstract class RankStrategyBasic implements RankStrategy {
     protected void calculateCtcvrScore(List<AdRankItem> items, RankRecommendRequestParam request, ScoreParam scoreParam, String modelName) {
         //判断是否走校准试验
         if (scoreParam.getExpCodeSet().contains(calibrationCtcvrExp)) {
-            calibrationDnnCtcvrScore(scoreParam, items, request.getMid(), request.getIsFilterUser(), modelName);
+            calibrationDnnCtcvrScore(items, request.getMid(), request.getIsFilterUser(), modelName);
         }
 
         if (scoreParam.getExpCodeSet().contains(calibrationCoefficientExp)) {
@@ -707,7 +707,7 @@ public abstract class RankStrategyBasic implements RankStrategy {
         }
     }
 
-    protected void calibrationDnnCtcvrScore(ScoreParam scoreParam, List<AdRankItem> adRankItems, String mid, boolean isFilterUser, String modelName) {
+    protected void calibrationDnnCtcvrScore(List<AdRankItem> adRankItems, String mid, boolean isFilterUser, String modelName) {
         if (StringUtils.isEmpty(modelName)) {
             return;
         }