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package com.yoho.search.service.scorer;
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package com.yoho.search.service.scorer;
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-import java.util.ArrayList;
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-import java.util.List;
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-import java.util.Map;
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-
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-import org.elasticsearch.index.query.QueryBuilder;
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-import org.springframework.beans.factory.annotation.Autowired;
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-import org.springframework.stereotype.Component;
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-
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import com.yoho.search.core.personalized.BigDataRedisService;
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import com.yoho.search.core.personalized.BigDataRedisService;
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import com.yoho.search.models.FirstShelveTimeScore;
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import com.yoho.search.models.FirstShelveTimeScore;
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import com.yoho.search.service.base.SearchDynamicConfigService;
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import com.yoho.search.service.base.SearchDynamicConfigService;
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import com.yoho.search.service.base.SearchRequestParams;
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import com.yoho.search.service.base.SearchRequestParams;
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import com.yoho.search.service.helper.SearchCommonHelper;
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import com.yoho.search.service.helper.SearchCommonHelper;
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-import com.yoho.search.service.scorer.impl.AddScoreSknScorer;
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-import com.yoho.search.service.scorer.impl.BreakSizeProductScorer;
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-import com.yoho.search.service.scorer.impl.FeatureFactorScorer;
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-import com.yoho.search.service.scorer.impl.FirstProductSknScorer;
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-import com.yoho.search.service.scorer.impl.FirstShelveTimeScorer;
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-import com.yoho.search.service.scorer.impl.GlobalProductScorer;
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-import com.yoho.search.service.scorer.impl.NewArriveHeatDescScorer;
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-import com.yoho.search.service.scorer.impl.ProblemProductScorer;
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-import com.yoho.search.service.scorer.impl.RandomScorer;
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-import com.yoho.search.service.scorer.impl.UserChannelSearchScorer;
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+import com.yoho.search.service.scorer.impl.*;
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+import org.elasticsearch.index.query.QueryBuilder;
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+import org.slf4j.Logger;
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+import org.slf4j.LoggerFactory;
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+import org.springframework.beans.factory.annotation.Autowired;
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+import org.springframework.stereotype.Component;
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+
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+import java.util.ArrayList;
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+import java.util.List;
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+import java.util.Map;
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@Component
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@Component
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public class SearchScorerFactory {
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public class SearchScorerFactory {
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+ private static final Logger logger = LoggerFactory.getLogger(SearchScorerFactory.class);
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+
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@Autowired
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@Autowired
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private BigDataRedisService bigDataRedisService;
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private BigDataRedisService bigDataRedisService;
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@Autowired
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@Autowired
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@@ -44,9 +38,15 @@ public class SearchScorerFactory { |
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@@ -44,9 +38,15 @@ public class SearchScorerFactory { |
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// 获取【断码商品】的打分器
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// 获取【断码商品】的打分器
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public IScorer getBreakSizeProductScorer(Map<String, String> paramMap) {
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public IScorer getBreakSizeProductScorer(Map<String, String> paramMap) {
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+ try {
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List<String> userFavoriteSizes = bigDataRedisService.getUserFavoriteSizes(paramMap.getOrDefault("uid", "0"));
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List<String> userFavoriteSizes = bigDataRedisService.getUserFavoriteSizes(paramMap.getOrDefault("uid", "0"));
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IScorer breakSizeProductScorer = new BreakSizeProductScorer(userFavoriteSizes);
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IScorer breakSizeProductScorer = new BreakSizeProductScorer(userFavoriteSizes);
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return breakSizeProductScorer;
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return breakSizeProductScorer;
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+ }catch (Exception e){
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+ logger.error(e.getMessage());
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+ return null;
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+ }
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+
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}
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}
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// 获取【问题商品】的打分器
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// 获取【问题商品】的打分器
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@@ -61,12 +61,17 @@ public class SearchScorerFactory { |
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@@ -61,12 +61,17 @@ public class SearchScorerFactory { |
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// 获取【模糊搜索页针对频道】的打分器
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// 获取【模糊搜索页针对频道】的打分器
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public IScorer getChannelSearchScorer(Map<String, String> paramMap) {
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public IScorer getChannelSearchScorer(Map<String, String> paramMap) {
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+ try {
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if (!searchCommonHelper.isNeedDeScoreForChannel(paramMap)) {
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if (!searchCommonHelper.isNeedDeScoreForChannel(paramMap)) {
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return null;
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return null;
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}
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}
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float physicalChannelWeight = (float) dynamicConfig.getDeScorePhysicalChannelWeight();
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float physicalChannelWeight = (float) dynamicConfig.getDeScorePhysicalChannelWeight();
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Map<String, Float> userGenderFloat = bigDataRedisService.getUserGenderFeature(paramMap.getOrDefault("uid", "0"));
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Map<String, Float> userGenderFloat = bigDataRedisService.getUserGenderFeature(paramMap.getOrDefault("uid", "0"));
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return new UserChannelSearchScorer(paramMap, userGenderFloat, physicalChannelWeight);
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return new UserChannelSearchScorer(paramMap, userGenderFloat, physicalChannelWeight);
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+ }catch (Exception e){
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+ logger.error(e.getMessage());
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+ return null;
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+ }
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}
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}
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// 获取【firstProductSkn】的打分器
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// 获取【firstProductSkn】的打分器
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@@ -101,9 +106,4 @@ public class SearchScorerFactory { |
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@@ -101,9 +106,4 @@ public class SearchScorerFactory { |
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return new FeatureFactorScorer(scoreFilter, featureFactors, featureVersion);
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return new FeatureFactorScorer(scoreFilter, featureFactors, featureVersion);
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}
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}
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- // 获取【随机函数】的打分器
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- public IScorer getRandomScorer(String seed) {
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- return new RandomScorer(seed);
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- }
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-
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} |
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} |