update

src/similarity_model/feature_similarity.py

@@ -147,11 +147,11 @@ def compute_feature_similarity(
     shared_scores = [m["score"] for m in matches]
     mean_similarity = float(np.mean(shared_scores)) if shared_scores else 0.0
 
-    max_len = max(len(fa), len(fb))
-    coverage = len(matches) / max_len if max_len > 0 else 0.0
+    min_len = min(len(fa), len(fb))
+    coverage = len(matches) / min_len if min_len > 0 else 0.0
 
     sum_similarity = sum(shared_scores)
-    final_score = sum_similarity / max_len if max_len > 0 else 0.0
+    final_score = sum_similarity / min_len if min_len > 0 else 0.0
 
     final_score = min(final_score, 1.0)