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