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@@ -621,9 +621,12 @@ public class ContentPlatformPlanServiceImpl implements ContentPlatformPlanServic
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private static final int HOT_CANDIDATE_LIMIT = 10000;
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private static final int TOP_K_PER_DEMAND = 3;
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private static final String DEMAND_STRATEGY_PRIOR = "人群需求";
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- private static final String DEMAND_STRATEGY_PRIOR_SCENE = "人群需求-场景";
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private static final String DEMAND_STRATEGY_POSTERIOR = "优质相似";
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private static final String PRIOR_PREMIUM_DIMENSION = "传播的头部";
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+ /** match_method 取值,priorScene 池识别用(0519+ 起替代旧 demand_strategy='人群需求-场景') */
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+ private static final String MATCH_METHOD_PRIOR_SCENE = "场景已看视频";
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+ /** match_method 取值,prior / posterior 池识别用 */
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+ private static final String MATCH_METHOD_PRIOR = "票圈推荐库";
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/** prior/posterior 池视频近 7 日 rov 下限(质量过滤):0.02 在 prior 池 0513 全量保留 ~41%,
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* cdjh 优质相似 0514 验证保留 ~54%,量大有意义;
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* priorScene 池基数小(单 channel 几十~百条),仍保持 >0(在 groupAndTopK 内兜底)。 */
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@@ -882,16 +885,17 @@ public class ContentPlatformPlanServiceImpl implements ContentPlatformPlanServic
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String channelName = resolveChannelName(param);
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String category = StringUtils.hasText(param.getCategory()) ? param.getCategory() : null;
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+ // priorScene 池新识别:demand_strategy='人群需求' AND match_method='场景已看视频'(0519+ 起,旧 demand_strategy='人群需求-场景' 已迁走)
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List<ContentPlatformDemandVideo> rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR_SCENE, null, null, null, ghName, null, category, limit, false);
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+ dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR, null, null, null, ghName, null, category, MATCH_METHOD_PRIOR_SCENE, limit, false);
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if (ghName != null && rows.isEmpty()) {
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rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR_SCENE, null, null, null, null, null, category, limit, false);
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+ dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR, null, null, null, null, null, category, MATCH_METHOD_PRIOR_SCENE, limit, false);
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}
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// 跨渠道退化:channel_name 命中但 crowd_segment 在对侧渠道下 0 行(如公众号账号切到企微入口)→ 去 crowd_segment,只按 channel_name 拉通用数据
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if (channelName != null && rows.isEmpty()) {
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rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, null, DEMAND_STRATEGY_PRIOR_SCENE, null, null, null, null, null, category, limit, false);
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+ dt, channelName, null, DEMAND_STRATEGY_PRIOR, null, null, null, null, null, category, MATCH_METHOD_PRIOR_SCENE, limit, false);
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}
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// 1. 同 video_id 取 total_rov 最大的代表行(SQL 已排序,putIfAbsent 保留首次)
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LinkedHashMap<Long, ContentPlatformDemandVideo> bestPerVideo = new LinkedHashMap<>();
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@@ -937,18 +941,19 @@ public class ContentPlatformPlanServiceImpl implements ContentPlatformPlanServic
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int fetchLimit = Math.max(limit * 3, DEMAND_CANDIDATE_LIMIT);
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String category = StringUtils.hasText(param.getCategory()) ? param.getCategory() : null;
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+ // prior 池加 match_method='票圈推荐库' 过滤,与 priorScene 池('场景已看视频')互斥,避免在新数据格式下两池抓重
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List<ContentPlatformDemandVideo> rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR, PRIOR_PREMIUM_DIMENSION, null, null, ghName, null, category, fetchLimit, false);
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+ dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR, PRIOR_PREMIUM_DIMENSION, null, null, ghName, null, category, MATCH_METHOD_PRIOR, fetchLimit, false);
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// 退化:该 ghName 无数据 → 退回渠道粒度
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if (ghName != null && rows.isEmpty()) {
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rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR, PRIOR_PREMIUM_DIMENSION, null, null, null, null, category, fetchLimit, false);
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+ dt, channelName, crowdSegment, DEMAND_STRATEGY_PRIOR, PRIOR_PREMIUM_DIMENSION, null, null, null, null, category, MATCH_METHOD_PRIOR, fetchLimit, false);
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}
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// 跨渠道退化:channel_name 命中但 crowd_segment 在对侧 0 行 → 去 crowd_segment 拉通用数据
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if (channelName != null && rows.isEmpty()) {
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rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, null, DEMAND_STRATEGY_PRIOR, PRIOR_PREMIUM_DIMENSION, null, null, null, null, category, fetchLimit, false);
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+ dt, channelName, null, DEMAND_STRATEGY_PRIOR, PRIOR_PREMIUM_DIMENSION, null, null, null, null, category, MATCH_METHOD_PRIOR, fetchLimit, false);
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}
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// 近 7 日 rov 下限,过滤掉低质量近期表现的视频(0513 验证 ≥0.02 保留 ~41%)
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@@ -1018,19 +1023,20 @@ public class ContentPlatformPlanServiceImpl implements ContentPlatformPlanServic
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int fetchLimit = Math.max(limit * 3, DEMAND_CANDIDATE_LIMIT);
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String category = StringUtils.hasText(param.getCategory()) ? param.getCategory() : null;
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+ // posterior 池加 match_method='票圈推荐库' 兜底,防止未来上游对优质相似分量出别的 match_method 值后污染本池
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// 优质相似池:drive_dimension_time 一律不限制(含主查与退化路径),避免仅「昨日」窗口召回过少。
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List<ContentPlatformDemandVideo> rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, crowdSegment, DEMAND_STRATEGY_POSTERIOR, null, null, null, ghName, null, category, fetchLimit, true);
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+ dt, channelName, crowdSegment, DEMAND_STRATEGY_POSTERIOR, null, null, null, ghName, null, category, MATCH_METHOD_PRIOR, fetchLimit, true);
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// 退化:该 ghName 无数据 → 退回渠道粒度
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if (ghName != null && rows.isEmpty()) {
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rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, crowdSegment, DEMAND_STRATEGY_POSTERIOR, null, null, null, null, null, category, fetchLimit, true);
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+ dt, channelName, crowdSegment, DEMAND_STRATEGY_POSTERIOR, null, null, null, null, null, category, MATCH_METHOD_PRIOR, fetchLimit, true);
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}
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// 跨渠道退化:channel_name 命中但 crowd_segment 在对侧 0 行 → 去 crowd_segment 拉通用数据
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if (channelName != null && rows.isEmpty()) {
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rows = demandVideoMapperExt.selectForRecommend(
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- dt, channelName, null, DEMAND_STRATEGY_POSTERIOR, null, null, null, null, null, category, fetchLimit, true);
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+ dt, channelName, null, DEMAND_STRATEGY_POSTERIOR, null, null, null, null, null, category, MATCH_METHOD_PRIOR, fetchLimit, true);
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}
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// 近 7 日 rov 下限,与 prior 池一致(cdjh 0514 验证 ≥0.02 保留 ~54%)
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@@ -1512,13 +1518,7 @@ public class ContentPlatformPlanServiceImpl implements ContentPlatformPlanServic
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if (Objects.isNull(type)) {
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return "";
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}
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- if (type == 0) {
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- return "自动回复";
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- }
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- if (type == 1) {
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- return "每日推送";
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- }
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- return String.valueOf(type);
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+ return QwPlanTypeEnum.from(type).getDescription();
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}
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private String convertQwPlanSceneText(Integer scene) {
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@@ -1921,6 +1921,7 @@ public class ContentPlatformPlanServiceImpl implements ContentPlatformPlanServic
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item.setUvRatio(video.getUvRatio());
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item.setTotalRov(video.getTotalRov());
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item.setSceneSumRov(video.getSceneSumRov());
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+ item.setMatchMethod(video.getMatchMethod());
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result.add(item);
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}
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return result;
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