修改dnn模型未见过的cid打分

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBy688.java

@@ -269,6 +269,16 @@ public class RankStrategyBy688 extends RankStrategyBasic {
         for (AdRankItem item : result) {
             double originalScore = item.getLrScore();
             double calibratedScore = originalScore / (originalScore + (1 - originalScore) / negSampleRate);
+            // 该创意尚未在模型中训练，打分不可靠
+            if (CollectionUtils.isNotEmpty(DnnCidDataHelper.getCidSet()) && !DnnCidDataHelper.getCidSet().contains(item.getAdId())) {
+                Map<String, Map<String, String>> cidFeature = allCidFeature.getOrDefault(String.valueOf(item.getAdId()), new HashMap<>());
+                Map<String, String> b3Feature = cidFeature.getOrDefault("alg_cid_feature_cid_action", new HashMap<>());
+                double view = Double.parseDouble(b3Feature.getOrDefault("ad_view_14d", "0"));
+                double conver = Double.parseDouble(b3Feature.getOrDefault("ad_conversion_14d", "0"));
+                double smoothCxr = NumUtil.divSmoothV1(conver, view, 1.64);
+                //模型打分和统计计算取打分更低的
+                calibratedScore = Math.min(smoothCxr, calibratedScore);
+            }
             item.setLrScore(calibratedScore);
             item.getScoreMap().put("originCtcvrScore", originalScore);
             item.getScoreMap().put("ctcvrScore", calibratedScore);