ソースを参照

revert RankStrategyBy683

StrayWarrior 1 ヶ月 前
コミット
e96db57738

+ 3 - 52
ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBy683.java

@@ -12,7 +12,6 @@ import com.tzld.piaoquan.recommend.feature.domain.ad.base.AdRankItem;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.CollectionUtils;
 import org.apache.commons.collections4.MapUtils;
-import org.apache.commons.lang.math.NumberUtils;
 import org.apache.commons.lang3.StringUtils;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Component;
@@ -96,18 +95,6 @@ public class RankStrategyBy683 extends RankStrategyBasic {
         Map<String, String> e1Feature = userFeature.getOrDefault("alg_mid_feature_return_tags", new HashMap<>());
         Map<String, String> e2Feature = userFeature.getOrDefault("alg_mid_feature_share_tags", new HashMap<>());
 
-        userFeatureMap.put("brand", request.getMachineInfo().getBrand().toUpperCase());
-        userFeatureMap.put("region", request.getRegion());
-        userFeatureMap.put("city", request.getCity());
-        userFeatureMap.put("vid", String.valueOf(request.getVideoId()));
-        userFeatureMap.put("cate1", d3Feature.get("merge_first_level_cate"));
-        userFeatureMap.put("cate2", d3Feature.get("merge_second_level_cate"));
-        userFeatureMap.put("user_vid_return_tags_2h", e1Feature.getOrDefault("tags_2h", null));
-        userFeatureMap.put("user_vid_return_tags_1d", e1Feature.getOrDefault("tags_1d", null));
-        userFeatureMap.put("user_vid_return_tags_3d", e1Feature.getOrDefault("tags_3d", null));
-        userFeatureMap.put("user_vid_return_tags_7d", e1Feature.getOrDefault("tags_7d", null));
-        userFeatureMap.put("user_vid_return_tags_14d", e1Feature.getOrDefault("tags_14d", null));
-
         Map<String, String> sceneFeatureMap = this.handleSceneFeature(ts);
         long time1 = System.currentTimeMillis();
 
@@ -151,10 +138,6 @@ public class RankStrategyBy683 extends RankStrategyBasic {
                     this.handleC1UIFeature(midTimeDiffMap, actionStaticMap, cidFeatureMap, cidStr);
                     this.handleD1Feature(d1Feature, cidFeatureMap);
                     this.handleD2Feature(vidRankMaps, cidFeatureMap, cidStr);
-
-                    cidFeatureMap.put("cid", dto.getCreativeId() != null ? String.valueOf(dto.getCreativeId()) : null);
-                    cidFeatureMap.put("adid", dto.getAdId() != null ? String.valueOf(dto.getAdId()) : null);
-                    cidFeatureMap.put("adverid", dto.getAdVerId());
                     return adRankItem;
                 } finally {
                     cdl1.countDown();
@@ -228,7 +211,7 @@ public class RankStrategyBy683 extends RankStrategyBasic {
         long time4 = System.currentTimeMillis();
         // 打分排序
         // getScorerPipeline
-        List<AdRankItem> result = ScorerUtils.getScorerPipeline(ScorerUtils.PAI_SCORE_CONF_20250214).scoring(sceneFeatureMap, userFeatureMap, adRankItems);
+        List<AdRankItem> result = ScorerUtils.getScorerPipeline(ScorerUtils.XGBOOST_SCORE_CONF_683).scoring(sceneFeatureMap, userFeatureMap, adRankItems);
         long time5 = System.currentTimeMillis();
 
         // calibrate score for negative sampling
@@ -428,18 +411,7 @@ public class RankStrategyBy683 extends RankStrategyBasic {
         featureMap.put("ctcvr_all", String.valueOf(NumUtil.div(converAll, viewAll)));
         featureMap.put("cvr_all", String.valueOf(NumUtil.div(clickAll, converAll)));
         featureMap.put("ecpm_all", String.valueOf(NumUtil.div(incomeAll * 1000, viewAll)));
-        if (CollectionUtils.isEmpty(midActionList)) {
-            List<String> cidList = new ArrayList<>();
-            List<String> converList = new ArrayList<>();
-            for (TupleMapEntry<Tuple5> tupleMapEntry : midActionList) {
-                String cid = tupleMapEntry.key;
-                String conver = tupleMapEntry.value.f3;
-                cidList.add(cid);
-                converList.add(conver);
-            }
-            featureMap.put("user_cid_click_list", String.join(",", cidList));
-            featureMap.put("user_cid_conver_list", String.join(",", converList));
-        }
+
         return midActionList;
     }
 
@@ -671,31 +643,9 @@ public class RankStrategyBy683 extends RankStrategyBasic {
     }
 
     private Map<String, String> featureBucket(Map<String, String> featureMap) {
-        Set<String> keys = new HashSet<String>() {{
-            add("brand");
-            add("region");
-            add("city");
-            add("vid");
-            add("cate1");
-            add("cate2");
-            add("cid");
-            add("adid");
-            add("adverid");
-            add("user_cid_click_list");
-            add("user_cid_conver_list");
-            add("user_vid_return_tags_2h");
-            add("user_vid_return_tags_1d");
-            add("user_vid_return_tags_3d");
-            add("user_vid_return_tags_7d");
-            add("user_vid_return_tags_14d");
-        }};
         Map<String, String> newFeatureMap = new ConcurrentHashMap<>(featureMap.size());
         for (Map.Entry<String, String> entry : featureMap.entrySet()) {
             String name = entry.getKey();
-            if (keys.contains(name)) {
-                newFeatureMap.put(name, entry.getValue());
-                continue;
-            }
             double score = Double.parseDouble(entry.getValue());
             // 注意:0值、不在分桶文件中的特征,会被过滤掉。
             if (score > 1E-8) {
@@ -709,6 +659,7 @@ public class RankStrategyBy683 extends RankStrategyBasic {
                 }
             }
         }
+
         return newFeatureMap;
     }