569实验 基于title的tag召回

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/strategy/RankStrategy4RegionMergeModelV569.java

@@ -66,45 +66,44 @@ public class RankStrategy4RegionMergeModelV569 extends RankService {
         //-------------------逻-------------------
         //-------------------辑-------------------
 
-        //-------------------老地域相关召回-------------------
         List<Video> oldRovs = new ArrayList<>();
         oldRovs.addAll(extractAndSort(param, RegionHRecallStrategy.PUSH_FORM));
         oldRovs.addAll(extractAndSort(param, RegionHDupRecallStrategy.PUSH_FORM));
         oldRovs.addAll(extractAndSort(param, Region24HRecallStrategy.PUSH_FORM));
         oldRovs.addAll(extractAndSort(param, RegionRelative24HRecallStrategy.PUSH_FORM));
         oldRovs.addAll(extractAndSort(param, RegionRelative24HDupRecallStrategy.PUSH_FORM));
-        int sizeReturn = param.getSize();
         removeDuplicate(oldRovs);
+        int sizeReturn = param.getSize();
+        //-------------------老地域召回-------------------
         List<Video> v0 = oldRovs.size() <= sizeReturn
                 ? oldRovs
                 : oldRovs.subList(0, sizeReturn);
-        //-------------------地域相关召回-------------------
-        List<Video> v1 = extractAndSort(param, RegionRealtimeRecallStrategyV1.PUSH_FORM);
-        List<Video> v2 = extractAndSort(param, RegionRealtimeRecallStrategyV2_sort.PUSH_FORM);
-        List<Video> v3 = extractAndSort(param, RegionRealtimeRecallStrategyV3.PUSH_FORM);
-        //-------------------相关性召回-------------------
         List<Video> v5 = extractAndSort(param, SimHotVideoRecallStrategy.PUSH_FORM);
         List<Video> v6 = extractAndSort(param, ReturnVideoRecallStrategy.PUSH_FORM);
-        //-------------------节日扶持召回-------------------
+        //-------------------新地域召回------------------
+        List<Video> v1 = extractAndSort(param, RegionRealtimeRecallStrategyV1.PUSH_FORM);
+        //-------------------节日特殊召回-------------------
         List<Video> v7 = extractAndSort(param, FestivalRecallStrategyV1.PUSH_FORM);
-        //-------------------去重-------------------
+        //-------------------基于title的tag召回-------------------
+        List<Video> v10 = extractAndSort(param, TitleTagRecallStrategyV1.PUSH_FORM);
+
+
+
         Set<Long> setVideo = new HashSet<>();
-        this.duplicate(setVideo, v3);
-        this.duplicate(setVideo, v2);
-        this.duplicate(setVideo, v1);
         this.duplicate(setVideo, v0);
         this.duplicate(setVideo, v5);
         this.duplicate(setVideo, v6);
+        this.duplicate(setVideo, v1);
         this.duplicate(setVideo, v7);
-        //-------------------合并-------------------
+        this.duplicate(setVideo, v10);
+
         List<Video> rovRecallRank = new ArrayList<>();
         rovRecallRank.addAll(v0);
-        rovRecallRank.addAll(v1.subList(0, Math.min(mergeWeight.getOrDefault("v1", 10.0).intValue(), v1.size())));
-        rovRecallRank.addAll(v2.subList(0, Math.min(mergeWeight.getOrDefault("v2", 25.0).intValue(), v2.size())));
-        rovRecallRank.addAll(v3.subList(0, Math.min(mergeWeight.getOrDefault("v3", 10.0).intValue(), v3.size())));
-        rovRecallRank.addAll(v5.subList(0, Math.min(mergeWeight.getOrDefault("v5", 10.0).intValue(), v5.size())));
-        rovRecallRank.addAll(v6.subList(0, Math.min(mergeWeight.getOrDefault("v6", 10.0).intValue(), v6.size())));
-        rovRecallRank.addAll(v7.subList(0, Math.min(mergeWeight.getOrDefault("v7", 10.0).intValue(), v7.size())));
+        rovRecallRank.addAll(v5.subList(0, Math.min(mergeWeight.getOrDefault("v5", 5.0).intValue(), v5.size())));
+        rovRecallRank.addAll(v6.subList(0, Math.min(mergeWeight.getOrDefault("v6", 5.0).intValue(), v6.size())));
+        rovRecallRank.addAll(v1.subList(0, Math.min(mergeWeight.getOrDefault("v1", 5.0).intValue(), v1.size())));
+        rovRecallRank.addAll(v7.subList(0, Math.min(mergeWeight.getOrDefault("v7", 5.0).intValue(), v7.size())));
+        rovRecallRank.addAll(v10.subList(0, Math.min(mergeWeight.getOrDefault("v10", 6.0).intValue(), v10.size())));
 
         //-------------------排-------------------
         //-------------------序-------------------
@@ -133,85 +132,38 @@ public class RankStrategy4RegionMergeModelV569 extends RankService {
             cur = ExtractorUtils.subtractHours(cur, 1);
         }
         for (RankItem item : items) {
-            Map<String, String> itemBasicMap = item.getItemBasicFeature();
             Map<String, Map<String, Double>> itemRealMap = item.getItemRealTimeFeature();
-            List<Double> views = getStaticData(itemRealMap, datehours, "view_pv_list_1h");
-            List<Double> plays = getStaticData(itemRealMap, datehours, "play_pv_list_1h");
-            List<Double> shares = getStaticData(itemRealMap, datehours, "share_pv_list_1h");
-            List<Double> preturns = getStaticData(itemRealMap, datehours, "p_return_uv_list_1h");
+            List<Double> views = getStaticData(itemRealMap, datehours, "view_uv_list_1h");
+            List<Double> shares = getStaticData(itemRealMap, datehours, "share_uv_list_1h");
             List<Double> allreturns = getStaticData(itemRealMap, datehours, "return_uv_list_1h");
 
-            List<Double> share2return = getRateData(preturns, shares, 1.0, 1000.0);
-            Double share2returnScore = calScoreWeightNoTimeDecay(share2return);
-            List<Double> view2return = getRateData(preturns, views, 1.0, 1000.0);
-            Double view2returnScore = calScoreWeightNoTimeDecay(view2return);
-            List<Double> view2play = getRateData(plays, views, 1.0, 1000.0);
-            Double view2playScore = calScoreWeightNoTimeDecay(view2play);
-            List<Double> play2share = getRateData(shares, plays, 1.0, 1000.0);
-            Double play2shareScore = calScoreWeightNoTimeDecay(play2share);
-            item.scoresMap.put("share2returnScore", share2returnScore);
-            item.scoresMap.put("view2returnScore", view2returnScore);
-            item.scoresMap.put("view2playScore", view2playScore);
-            item.scoresMap.put("play2shareScore", play2shareScore);
-
             // 全部回流的rov和ros
-            List<Double> share2allreturn = getRateData(allreturns, shares, 1.0, 10.0);
+            List<Double> share2allreturn = getRateData(allreturns, shares, 0.0, 0.0);
             Double share2allreturnScore = calScoreWeightNoTimeDecay(share2allreturn);
+            item.scoresMap.put("share2allreturnScore", share2allreturnScore);
             List<Double> view2allreturn = getRateData(allreturns, views, 0.0, 0.0);
             Double view2allreturnScore = calScoreWeightNoTimeDecay(view2allreturn);
-            item.scoresMap.put("share2allreturnScore", share2allreturnScore);
             item.scoresMap.put("view2allreturnScore", view2allreturnScore);
 
             // 全部回流
             Double allreturnsScore = calScoreWeightNoTimeDecay(allreturns);
             item.scoresMap.put("allreturnsScore", allreturnsScore);
 
-            // 平台回流
-            Double preturnsScore = calScoreWeightNoTimeDecay(preturns);
-            item.scoresMap.put("preturnsScore", preturnsScore);
-
-            // rov的趋势
-            double trendScore = calTrendScore(view2return);
-            item.scoresMap.put("trendScore", trendScore);
-
-            // 新视频提取
-            double newVideoScore = calNewVideoScore(itemBasicMap);
-            item.scoresMap.put("newVideoScore", newVideoScore);
 
         }
         // 3 融合公式
         List<Video> result = new ArrayList<>();
-        double a = mergeWeight.getOrDefault("a", 0.1);
-        double b = mergeWeight.getOrDefault("b", 0.0);
-        double c = mergeWeight.getOrDefault("c", 0.000001);
-        double d = mergeWeight.getOrDefault("d", 1.0);
-        double e = mergeWeight.getOrDefault("e", 1.0);
-        double f = mergeWeight.getOrDefault("f", 0.6);
-        double g = mergeWeight.getOrDefault("g", 2.0);
-        double h = mergeWeight.getOrDefault("h", 240.0);
-        double ifAdd = mergeWeight.getOrDefault("ifAdd", 1.0);
+        double f = mergeWeight.getOrDefault("f", 0.1);
+        double g = mergeWeight.getOrDefault("g", 1.0);
         for (RankItem item : items) {
-            double trendScore = item.scoresMap.getOrDefault("trendScore", 0.0) > 1E-8 ?
-                    item.scoresMap.getOrDefault("trendScore", 0.0) : 0.0;
-            double newVideoScore = item.scoresMap.getOrDefault("newVideoScore", 0.0) > 1E-8 ?
-                    item.scoresMap.getOrDefault("newVideoScore", 0.0) : 0.0;
-            double strScore = item.getScoreStr();
-            double rosScore = item.scoresMap.getOrDefault("share2returnScore", 0.0);
             double share2allreturnScore = item.scoresMap.getOrDefault("share2allreturnScore", 0.0);
             double view2allreturnScore = item.scoresMap.getOrDefault("view2allreturnScore", 0.0);
-            double preturnsScore = Math.log(1 + item.scoresMap.getOrDefault("preturnsScore", 0.0));
             double score = 0.0;
-            if (ifAdd < 0.5) {
-                score = Math.pow(strScore, a) * Math.pow(rosScore, b) + c * preturnsScore +
-                        (newVideoScore > 1E-8 ? d * trendScore * (e + newVideoScore) : 0.0);
-            } else {
-                score = a * strScore + b * rosScore + c * preturnsScore +
-                        (newVideoScore > 1E-8 ? d * trendScore * (e + newVideoScore) : 0.0);
-
-            }
             double allreturnsScore = item.scoresMap.getOrDefault("allreturnsScore", 0.0);
-            if (allreturnsScore > h) {
+            if (allreturnsScore > 50) {
                 score += (f * share2allreturnScore + g * view2allreturnScore);
+            }else{
+                score += (f * share2allreturnScore + g * view2allreturnScore) * 0.01;
             }
             Video video = item.getVideo();
             video.setScore(score);
@@ -220,37 +172,10 @@ public class RankStrategy4RegionMergeModelV569 extends RankService {
             video.setScoresMap(item.getScoresMap());
             result.add(video);
         }
-        Collections.sort(result, Comparator.comparingDouble(o -> -o.getSortScore()));
+        result.sort(Comparator.comparingDouble(o -> -o.getSortScore()));
         return result;
     }
 
-    public double calNewVideoScore(Map<String, String> itemBasicMap) {
-        double existenceDays = Double.valueOf(itemBasicMap.getOrDefault("existence_days", "30"));
-        if (existenceDays > 5) {
-            return 0.0;
-        }
-        double score = 1.0 / (existenceDays + 10.0);
-        return score;
-    }
-
-    public double calTrendScore(List<Double> data) {
-        double sum = 0.0;
-        int size = data.size();
-        for (int i = 0; i < size - 4; ++i) {
-            sum += data.get(i) - data.get(i + 4);
-        }
-        if (sum * 10 > 0.6) {
-            sum = 0.6;
-        } else {
-            sum = sum * 10;
-        }
-        if (sum > 0) {
-            // 为了打断点
-            sum = sum;
-        }
-        return sum;
-    }
-
     public Double calScoreWeightNoTimeDecay(List<Double> data) {
         Double up = 0.0;
         Double down = 0.0;
@@ -294,165 +219,18 @@ public class RankStrategy4RegionMergeModelV569 extends RankService {
             return result;
         }
 
-        RedisStandaloneConfiguration redisSC = new RedisStandaloneConfiguration();
-        redisSC.setPort(6379);
-        redisSC.setPassword("Wqsd@2019");
-        redisSC.setHostName("r-bp1pi8wyv6lzvgjy5z.redis.rds.aliyuncs.com");
-        RedisConnectionFactory connectionFactory = new JedisConnectionFactory(redisSC);
-        RedisTemplate<String, String> redisTemplate = new RedisTemplate<>();
-        redisTemplate.setConnectionFactory(connectionFactory);
-        redisTemplate.setDefaultSerializer(new StringRedisSerializer());
-        redisTemplate.afterPropertiesSet();
-
-        // 0: 场景特征处理
-        Map<String, String> sceneFeatureMap = this.getSceneFeature(param);
-
-        // 1: user特征处理
-        Map<String, String> userFeatureMap = new HashMap<>();
-        if (param.getMid() != null && !param.getMid().isEmpty()) {
-            String midKey = "user_info_4video_" + param.getMid();
-            String userFeatureStr = redisTemplate.opsForValue().get(midKey);
-            if (userFeatureStr != null) {
-                try {
-                    userFeatureMap = JSONUtils.fromJson(userFeatureStr,
-                            new TypeToken<Map<String, String>>() {
-                            },
-                            userFeatureMap);
-                } catch (Exception e) {
-                    log.error(String.format("parse user json is wrong in {} with {}", this.CLASS_NAME, e));
-                }
-            }
-        }
-        final Set<String> userFeatureSet = new HashSet<>(Arrays.asList(
-                "machineinfo_brand", "machineinfo_model", "machineinfo_platform", "machineinfo_system",
-                "u_1day_exp_cnt", "u_1day_click_cnt", "u_1day_share_cnt", "u_1day_return_cnt",
-                "u_3day_exp_cnt", "u_3day_click_cnt", "u_3day_share_cnt", "u_3day_return_cnt"
-        ));
-        Iterator<Map.Entry<String, String>> iterator = userFeatureMap.entrySet().iterator();
-        while (iterator.hasNext()) {
-            Map.Entry<String, String> entry = iterator.next();
-            if (!userFeatureSet.contains(entry.getKey())) {
-                iterator.remove();
-            }
-        }
-
-        Map<String, String> f1 = RankExtractorUserFeature.getOriginFeature(userFeatureMap,
-                new HashSet<String>(Arrays.asList(
-                        "machineinfo_brand", "machineinfo_model", "machineinfo_platform", "machineinfo_system"
-                ))
-        );
-        Map<String, String> f2 = RankExtractorUserFeature.getUserRateFeature(userFeatureMap);
-        Map<String, String> f3 = RankExtractorUserFeature.cntFeatureChange(userFeatureMap,
-                new HashSet<String>(Arrays.asList(
-                        "u_1day_exp_cnt", "u_1day_click_cnt", "u_1day_share_cnt", "u_1day_return_cnt",
-                        "u_3day_exp_cnt", "u_3day_click_cnt", "u_3day_share_cnt", "u_3day_return_cnt"
-                ))
-        );
-        f1.putAll(f2);
-        f1.putAll(f3);
-
-        // 2-1: item特征处理
-        final Set<String> itemFeatureSet = new HashSet<>(Arrays.asList(
-                "total_time", "play_count_total",
-                "i_1day_exp_cnt", "i_1day_click_cnt", "i_1day_share_cnt", "i_1day_return_cnt",
-                "i_3day_exp_cnt", "i_3day_click_cnt", "i_3day_share_cnt", "i_3day_return_cnt"
-        ));
 
         List<RankItem> rankItems = CommonCollectionUtils.toList(videos, RankItem::new);
         List<Long> videoIds = CommonCollectionUtils.toListDistinct(videos, Video::getVideoId);
-        List<String> videoFeatureKeys = videoIds.stream().map(r -> "video_info_" + r)
-                .collect(Collectors.toList());
-        List<String> videoFeatures = redisTemplate.opsForValue().multiGet(videoFeatureKeys);
-        if (videoFeatures != null) {
-            for (int i = 0; i < videoFeatures.size(); ++i) {
-                String vF = videoFeatures.get(i);
-                Map<String, String> vfMap = new HashMap<>();
-                if (vF == null) {
-                    continue;
-                }
-                try {
-                    vfMap = JSONUtils.fromJson(vF, new TypeToken<Map<String, String>>() {
-                    }, vfMap);
-                    Map<String, String> vfMapCopy = new HashMap<>(vfMap);
-                    rankItems.get(i).setItemBasicFeature(vfMapCopy);
-                    Iterator<Map.Entry<String, String>> iteratorIn = vfMap.entrySet().iterator();
-                    while (iteratorIn.hasNext()) {
-                        Map.Entry<String, String> entry = iteratorIn.next();
-                        if (!itemFeatureSet.contains(entry.getKey())) {
-                            iteratorIn.remove();
-                        }
-                    }
-                    Map<String, String> f4 = RankExtractorItemFeature.getItemRateFeature(vfMap);
-                    Map<String, String> f5 = RankExtractorItemFeature.cntFeatureChange(vfMap,
-                            new HashSet<String>(Arrays.asList(
-                                    "total_time", "play_count_total",
-                                    "i_1day_exp_cnt", "i_1day_click_cnt", "i_1day_share_cnt", "i_1day_return_cnt",
-                                    "i_3day_exp_cnt", "i_3day_click_cnt", "i_3day_share_cnt", "i_3day_return_cnt"))
-                    );
-                    f4.putAll(f5);
-                    rankItems.get(i).setFeatureMap(f4);
-                } catch (Exception e) {
-                    log.error(String.format("parse video json is wrong in {} with {}", this.CLASS_NAME, e));
-                }
-            }
-        }
-        // 2-2: item 实时特征处理
-        List<String> rtFeaPartKey = new ArrayList<>(Arrays.asList("item_rt_fea_1day_partition", "item_rt_fea_1h_partition"));
-        List<String> rtFeaPartKeyResult = this.redisTemplate.opsForValue().multiGet(rtFeaPartKey);
-        Calendar calendar = Calendar.getInstance();
-        String date = new SimpleDateFormat("yyyyMMdd").format(calendar.getTime());
-        String hour = new SimpleDateFormat("HH").format(calendar.getTime());
-        String rtFeaPart1day = date + hour;
-        String rtFeaPart1h = date + hour;
-        if (rtFeaPartKeyResult != null) {
-            if (rtFeaPartKeyResult.get(0) != null) {
-                rtFeaPart1day = rtFeaPartKeyResult.get(0);
-            }
-            if (rtFeaPartKeyResult.get(1) != null) {
-                rtFeaPart1h = rtFeaPartKeyResult.get(1);
-            }
-        }
 
-        List<String> videoRtKeys1 = videoIds.stream().map(r -> "item_rt_fea_1day_" + r)
-                .collect(Collectors.toList());
+        // 2-2: item 实时特征处理
         List<String> videoRtKeys2 = videoIds.stream().map(r -> "item_rt_fea_1h_" + r)
                 .collect(Collectors.toList());
-        videoRtKeys1.addAll(videoRtKeys2);
-        List<String> videoRtFeatures = this.redisTemplate.opsForValue().multiGet(videoRtKeys1);
+        List<String> videoRtFeatures = this.redisTemplate.opsForValue().multiGet(videoRtKeys2);
 
 
         if (videoRtFeatures != null) {
             int j = 0;
-            for (RankItem item : rankItems) {
-                String vF = videoRtFeatures.get(j);
-                ++j;
-                if (vF == null) {
-                    continue;
-                }
-                Map<String, String> vfMap = new HashMap<>();
-                Map<String, Map<String, Double>> vfMapNew = new HashMap<>();
-                try {
-                    vfMap = JSONUtils.fromJson(vF, new TypeToken<Map<String, String>>() {
-                    }, vfMap);
-                    for (Map.Entry<String, String> entry : vfMap.entrySet()) {
-                        String value = entry.getValue();
-                        if (value == null) {
-                            continue;
-                        }
-                        String[] var1 = value.split(",");
-                        Map<String, Double> tmp = new HashMap<>();
-                        for (String var2 : var1) {
-                            String[] var3 = var2.split(":");
-                            tmp.put(var3[0], Double.valueOf(var3[1]));
-                        }
-                        vfMapNew.put(entry.getKey(), tmp);
-                    }
-                } catch (Exception e) {
-                    log.error(String.format("parse video item_rt_fea_1day_ json is wrong in {} with {}", this.CLASS_NAME, e));
-                }
-                Map<String, String> f8 = RankExtractorItemFeature.getItemRealtimeRate(vfMapNew, rtFeaPart1day);
-                item.getFeatureMap().putAll(f8);
-            }
             for (RankItem item : rankItems) {
                 String vF = videoRtFeatures.get(j);
                 ++j;
@@ -482,44 +260,10 @@ public class RankStrategy4RegionMergeModelV569 extends RankService {
                 } catch (Exception e) {
                     log.error(String.format("parse video item_rt_fea_1h_ json is wrong in {} with {}", this.CLASS_NAME, e));
                 }
-                Map<String, String> f8 = RankExtractorItemFeature.getItemRealtimeRate(vfMapNew, rtFeaPart1h);
-                item.getFeatureMap().putAll(f8);
             }
         }
 
-
-        List<RankItem> rovRecallScore = ScorerUtils.getScorerPipeline(ScorerUtils.BASE_CONF)
-                .scoring(sceneFeatureMap, userFeatureMap, rankItems);
-        return rovRecallScore;
-    }
-
-    private Map<String, String> getSceneFeature(RankParam param) {
-        Map<String, String> sceneFeatureMap = new HashMap<>();
-        String provinceCn = param.getProvince();
-        provinceCn = provinceCn.replaceAll("省$", "");
-        sceneFeatureMap.put("ctx_region", provinceCn);
-        String city = param.getCity();
-        if ("台北市".equals(city) |
-                "高雄市".equals(city) |
-                "台中市".equals(city) |
-                "桃园市".equals(city) |
-                "新北市".equals(city) |
-                "台南市".equals(city) |
-                "基隆市".equals(city) |
-                "吉林市".equals(city) |
-                "新竹市".equals(city) |
-                "嘉义市".equals(city)
-        ) {
-        } else {
-            city = city.replaceAll("市$", "");
-        }
-        sceneFeatureMap.put("ctx_city", city);
-
-        Calendar calendar = Calendar.getInstance();
-        sceneFeatureMap.put("ctx_week", (calendar.get(Calendar.DAY_OF_WEEK) + 6) % 7 + "");
-        sceneFeatureMap.put("ctx_hour", new SimpleDateFormat("HH").format(calendar.getTime()));
-
-        return sceneFeatureMap;
+        return rankItems;
     }
 
     @Override

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/recall/RecallService.java

@@ -157,8 +157,7 @@ public class RecallService implements ApplicationContextAware {
                     strategies.addAll(getRegionRecallStrategy(param));
                 case "60119": // 569
                     strategies.add(strategyMap.get(RegionRealtimeRecallStrategyV1.class.getSimpleName()));
-                    strategies.add(strategyMap.get(RegionRealtimeRecallStrategyV2_sort.class.getSimpleName()));
-                    strategies.add(strategyMap.get(RegionRealtimeRecallStrategyV3.class.getSimpleName()));
+                    strategies.add(strategyMap.get(TitleTagRecallStrategyV1.class.getSimpleName()));
                     strategies.addAll(getRegionRecallStrategy(param));
                 default:
                     strategies.addAll(getRegionRecallStrategy(param));

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/recall/strategy/TitleTagRecallStrategyV1.java

@@ -0,0 +1,240 @@
+package com.tzld.piaoquan.recommend.server.service.recall.strategy;
+
+import com.google.common.reflect.TypeToken;
+import com.tzld.piaoquan.recommend.server.model.Video;
+import com.tzld.piaoquan.recommend.server.service.filter.FilterParam;
+import com.tzld.piaoquan.recommend.server.service.filter.FilterResult;
+import com.tzld.piaoquan.recommend.server.service.filter.RegionFilterService;
+import com.tzld.piaoquan.recommend.server.service.recall.FilterParamFactory;
+import com.tzld.piaoquan.recommend.server.service.recall.RecallParam;
+import com.tzld.piaoquan.recommend.server.service.recall.RecallStrategy;
+import com.tzld.piaoquan.recommend.server.util.JSONUtils;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.collections4.CollectionUtils;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.stereotype.Component;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * @author zhangbo
+ */
+@Component
+@Slf4j
+public class TitleTagRecallStrategyV1 implements RecallStrategy {
+    private final String CLASS_NAME = this.getClass().getSimpleName();
+    @Autowired
+    private RegionFilterService filterService;
+    @Autowired
+    @Qualifier("redisTemplate")
+    public RedisTemplate<String, String> redisTemplate;
+    @Override
+    public List<Video> recall(RecallParam param) {
+        long t0 = System.currentTimeMillis();
+        List<Video> result = new ArrayList<>();
+        // 1 获取头部vid，请求redis得到tag。
+        Long headVid = param.getVideoId();
+        String key1 = "redis:vid_title_tags:" + headVid;
+        String value1 = redisTemplate.opsForValue().get(key1);
+        if (value1 == null || value1.isEmpty()){
+            return result;
+        }
+        Map<String, String> vfMap = new HashMap<>();
+        vfMap = JSONUtils.fromJson(value1, new TypeToken<Map<String, String>>() {}, vfMap);
+        String tags = vfMap.getOrDefault("tags","");
+        if (tags.isEmpty()){
+            return result;
+        }
+        String title = vfMap.getOrDefault("title","");
+        // 2 通过tags请求redis，得到list。
+        List<String> key2 = Arrays.stream(tags.split(",")).map(r -> "redis:tag2vids:"+r).collect(Collectors.toList());
+        List<String> value2 = redisTemplate.opsForValue().multiGet(key2);
+        if (value2 == null || value2.isEmpty()){
+            return result;
+        }
+        // 3 合并多个tag的结果。
+        Map<Long, VideoTmp> vid2Info = new HashMap<>();
+        for (String v2: value2){
+            if (v2 == null || v2.isEmpty()){
+                continue;
+            }
+            vfMap = new HashMap<>();
+            vfMap = JSONUtils.fromJson(v2, new TypeToken<Map<String, String>>() {}, vfMap);
+            List<Long> vids = new ArrayList<>();
+            List<Double> scores = new ArrayList<>();
+            try{
+                vids = Arrays.stream(vfMap.getOrDefault("videoid_arr", "").split(","))
+                        .filter(s -> !s.trim().isEmpty() && s.matches("-?\\d+"))
+                        .map(Long::valueOf).limit(20).collect(Collectors.toList());
+                scores = Arrays.stream(vfMap.getOrDefault("score_arr", "").split(","))
+                        .map(Double::valueOf).limit(20).collect(Collectors.toList());
+            }catch(Exception e){
+                log.error(String.format("json parse is wrong in {}, key={}, error={}", CLASS_NAME, v2, e));
+                vids = new ArrayList<>();
+                scores = new ArrayList<>();
+            }
+            if (vids.size() != scores.size() || vids.isEmpty()){
+                continue;
+            }
+            for (int i = 0; i < vids.size(); ++i){
+                Long id = vids.get(i);
+                if (id.equals(headVid)){
+                    continue;
+                }
+                Double score = scores.get(i);
+                if (vid2Info.containsKey(id)){
+                    VideoTmp videoTmp = vid2Info.get(id);
+                    videoTmp.cnt += 1;
+                    videoTmp.score += score;
+                    vid2Info.put(id, videoTmp);
+                }else{
+                    VideoTmp videoTmp = new VideoTmp();
+                    videoTmp.id = id;
+                    videoTmp.cnt = 1;
+                    videoTmp.score = score;
+                    vid2Info.put(id, videoTmp);
+                }
+            }
+        }
+        if (vid2Info.isEmpty()){
+            return result;
+        }
+
+        List<Map.Entry<Long, VideoTmp>> entries = new ArrayList<>(vid2Info.entrySet());
+        entries.sort(new Comparator<Map.Entry<Long, VideoTmp>>() {
+            @Override
+            public int compare(Map.Entry<Long, VideoTmp> o1, Map.Entry<Long, VideoTmp> o2) {
+                // 先比较cnt，如果cnt相同则比较score，如果score也相同则比较id
+                int cmpCnt = Integer.compare(o2.getValue().cnt, o1.getValue().cnt); // 从大到小
+                if (cmpCnt != 0) {
+                    return cmpCnt;
+                }
+                int cmpScore = Double.compare(o2.getValue().score, o1.getValue().score); // 从大到小
+                if (cmpScore != 0) {
+                    return cmpScore;
+                }
+                return Long.compare(o2.getKey(), o1.getKey()); // 从大到小
+            }
+        });
+        // 现在entries是按照cnt、score、id从大到小排序的，提取key到List<Long>
+        List<Long> sortedKeys = new ArrayList<>();
+        for (Map.Entry<Long, VideoTmp> entry : entries) {
+            sortedKeys.add(entry.getKey());
+        }
+
+        // 4 集体走title匹配过滤，推荐过滤。
+        List<Long> deleteKey = new ArrayList<>();
+        if (!title.isEmpty()){
+            List<String> key3 = sortedKeys.stream().map(r -> "redis:vid_title_tags:"+r).collect(Collectors.toList());
+            List<String> value3 = redisTemplate.opsForValue().multiGet(key3);
+            if (value3 != null && !value3.isEmpty()){
+                int j = 0;
+                for (String v3 : value3){
+                    vfMap = new HashMap<>();
+                    vfMap = JSONUtils.fromJson(v3, new TypeToken<Map<String, String>>() {}, vfMap);
+                    String titleTmp = vfMap.getOrDefault("title","");
+                    if (!titleTmp.isEmpty() && calculateStringSimilarity(title, titleTmp) >= 0.9){
+                        deleteKey.add(sortedKeys.get(j));
+                    }
+                    j++;
+                }
+            }
+        }
+        sortedKeys.removeIf(deleteKey::contains);
+        if (sortedKeys.isEmpty()){
+            return result;
+        }
+
+        FilterParam filterParam = FilterParamFactory.create(param, sortedKeys);
+        filterParam.setForceTruncation(10000);
+        filterParam.setConcurrent(true);
+        filterParam.setNotUsePreView(false);
+        FilterResult filterResult = filterService.filter(filterParam);
+        List<Video> videosResult = new ArrayList<>();
+        if (filterResult != null && CollectionUtils.isNotEmpty(filterResult.getVideoIds())) {
+            filterResult.getVideoIds().forEach(vid -> {
+                Video video = new Video();
+                video.setVideoId(vid);
+                video.setAbCode(param.getAbCode());
+                double score = 0.0;
+                if (vid2Info.containsKey(vid)){
+                    VideoTmp videoTmp = vid2Info.get(vid);
+                    score = videoTmp.score / videoTmp.cnt;
+                }
+                video.setRovScore(score);
+                video.setPushFrom(pushFrom());
+                videosResult.add(video);
+            });
+        }
+
+        // 5 内部日志打印
+
+        // 6 返回结果
+        return videosResult;
+    }
+
+    public static final String PUSH_FORM = "recall_strategy_title_tag";
+
+    @Override
+    public String pushFrom() {
+        return PUSH_FORM;
+    }
+
+    static class VideoTmp{
+        Long id;
+        Integer cnt;
+        Double score;
+    }
+
+    public static int calculateLevenshteinDistance(String s1, String s2) {
+        if (s1 == null || s2 == null) {
+            throw new IllegalArgumentException("Strings must not be null");
+        }
+
+        int len0 = s1.length() + 1;
+        int len1 = s2.length() + 1;
+
+        // 创建一个二维数组来保存已经计算过的子问题的解
+        int[][] dp = new int[len0][len1];
+
+        // 初始化第一行和第一列
+        for (int i = 0; i < len0; i++) {
+            dp[i][0] = i;
+        }
+        for (int j = 0; j < len1; j++) {
+            dp[0][j] = j;
+        }
+
+        // 动态规划计算Levenshtein距离
+        for (int i = 1; i < len0; i++) {
+            for (int j = 1; j < len1; j++) {
+                int cost = (s1.charAt(i - 1) == s2.charAt(j - 1)) ? 0 : 1;
+                dp[i][j] = Math.min(
+                        Math.min(dp[i - 1][j] + 1, dp[i][j - 1] + 1),
+                        dp[i - 1][j - 1] + cost
+                );
+            }
+        }
+
+        return dp[len0 - 1][len1 - 1];
+    }
+
+    // 计算字符串匹配度（0到1之间）
+    public static double calculateStringSimilarity(String s1, String s2) {
+        int distance = calculateLevenshteinDistance(s1, s2);
+        int maxLength = Math.max(s1.length(), s2.length());
+        // 如果maxLength为0，则两个字符串都是空的，返回1表示完全匹配
+        return maxLength == 0 ? 1.0 : 1.0 - ((double) distance / maxLength);
+    }
+
+    public static void main(String[] args) {
+        String s1 = "老年人都来看看那";
+        String s2 = "老年人都来看看";
+        double score = calculateStringSimilarity(s1, s2);
+        System.out.println(score);
+    }
+
+}