python/ebook_search/rerank.py

@@ -13,6 +13,8 @@ if TYPE_CHECKING:
     from python.ebook_search.search import SearchResult
 
 logger = logging.getLogger(__name__)
+RERANK_SCORE_WEIGHT = 0.7
+HYBRID_SCORE_WEIGHT = 0.3
 
 
 @dataclass(frozen=True)
@@ -110,7 +112,7 @@ def clamp_score(score: float) -> float:
 
 def final_rerank_score(result: SearchResult, rerank_score: float, candidates: list[SearchResult]) -> float:
     """Combine rerank relevance with normalized hybrid retrieval evidence."""
-    return rerank_score * normalized_hybrid_score(result, candidates)
+    return (RERANK_SCORE_WEIGHT * rerank_score) + (HYBRID_SCORE_WEIGHT * normalized_hybrid_score(result, candidates))
 
 
 def normalized_hybrid_score(result: SearchResult, candidates: list[SearchResult]) -> float: