i2i maxScore config

long-article-recommend-service/src/main/java/com/tzld/longarticle/recommend/server/service/recommend/score/strategy/I2IRecommendStrategy.java

@@ -11,6 +11,7 @@ import com.tzld.longarticle.recommend.server.util.TitleSimilarCheckUtil;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.CollectionUtils;
 import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Component;
 
 import java.util.ArrayList;
@@ -26,6 +27,9 @@ public class I2IRecommendStrategy implements ScoreStrategy {
     @Autowired
     private I2IRecommendRepository i2iRecommendRepository;
 
+    @Value("${i2i.maxScore:5}")
+    private Double maxScore;
+
     @Override
     public List<Score> score(ScoreParam param) {
         List<Score> scores = new ArrayList<>();
@@ -49,7 +53,7 @@ public class I2IRecommendStrategy implements ScoreStrategy {
                         double logScore = Math.log(recommendScore + eps);
                         // ② 用你真实分布的 log 区间归一化
                         double logMin = Math.log(0.0001);
-                        double logMax = Math.log(100);
+                        double logMax = Math.log(maxScore);
                         double normalized = (logScore - logMin) / (logMax - logMin);
                         normalized = Math.max(0.0, Math.min(1.0, normalized));
                         // ③ 指数拉开头部