update

ad-engine-commons/src/main/java/com/tzld/piaoquan/ad/engine/commons/util/AbUtil.java

@@ -8,7 +8,7 @@ import java.util.stream.Collectors;
 
 public class AbUtil {
 
-    public static final List<String> adAlgExpCode = Arrays.asList("679", "680", "683", "687", "688", "833", "834", "840", "843", "847", "849", "851", "865", "872");
+    public static final List<String> adAlgExpCode = Arrays.asList("883","679", "680", "683", "687", "688", "833", "834", "840", "843", "847", "849", "851", "865", "872");
 
     public static Set<String> unfoldAllExpCode(List<Map<String, String>> adAbMap) {
         if (CollectionUtils.isEmpty(adAbMap)) {

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBy883.java

@@ -82,6 +82,7 @@ public class RankStrategyBy883 extends RankStrategyBasic {
 
     @Override
     public List<AdRankItem> adItemRank(RankRecommendRequestParam request, ScoreParam scoreParam) {
+        Map<String, Double> weightParam = ObjUtil.nullOrDefault(weightMap, new HashMap<>());
         Set<String> noApiAdVerIds = getNoApiAdVerIds();
 
         long ts = System.currentTimeMillis() / 1000;
@@ -197,6 +198,8 @@ public class RankStrategyBy883 extends RankStrategyBasic {
                     adRankItem.getScoreMap().put("fRankCoefficient", normalizeCoefficient(dto.getFRankCoefficient()));
                     adRankItem.getScoreMap().put("rcRankCoefficient", normalizeCoefficient(dto.getRcRankCoefficient()));
                     adRankItem.getScoreMap().put("bidCoefficient", normalizeCoefficient(dto.getBidCoefficient()));
+                    // 计价系数不参与排序，但需要进入排序日志，供曝光计价链路回溯。
+                    adRankItem.getScoreMap().put("pricingCoefficient", normalizeCoefficient(dto.getPricingCoefficient()));
                     adRankItem.getExt().put("correctCpaMap", JSONObject.toJSONString(correctCpaMap.get(dto.getAdId())));
                     adRankItem.getExt().put("correctionFactor", correctCpaMap.get(dto.getAdId()).getCorrectionFactor());
                     setGuaranteeWeight(map, dto.getAdVerId(), adRankItem.getExt(), isGuaranteedFlow, reqFeature);
@@ -352,6 +355,7 @@ public class RankStrategyBy883 extends RankStrategyBasic {
         }
 
         // 883 的 eCPM 与排序分分开：eCPM 表示竞价基础值，score 表示叠加 851 外围权重后的排序值。
+        double cpmCoefficient = weightParam.getOrDefault("cpmCoefficient", 0.9);
         boolean isGuaranteeType = false;
 
         int openH5 = NumberUtils.toInt(paramsMap.getOrDefault("openH5", "0"));
@@ -380,6 +384,12 @@ public class RankStrategyBy883 extends RankStrategyBasic {
                     * h5Weight
                     * guaranteeScoreCoefficient;
 
+            // 没有转化回传的广告主沿用配置 CPM，避免以不可靠的模型预估参与竞价。
+            if (noApiAdVerIds.contains(item.getAdVerId())) {
+                ecpm = item.getCpm();
+                score = item.getCpm() * cpmCoefficient / 1000;
+            }
+
             // scoreMap 是排序日志的数据源；写入 eCPM 分子及实际参与 score 计算的全部外围因子。
             item.getScoreMap().put("modelCtcvrScore", modelCtcvrScore);
             item.getScoreMap().put("bid", bid);