diff --git a/config.py b/config.py
index 62edb28..a8bff74 100644
--- a/config.py
+++ b/config.py
@@ -323,7 +323,7 @@ YOUTUBE_API_KEY = os.getenv('YOUTUBE_API_KEY', '')
 # ==========================================
 # 系統版本與路徑
 # ==========================================
-SYSTEM_VERSION = "V10.356"
+SYSTEM_VERSION = "V10.357"
 LOG_FILE_PATH = os.path.join(BASE_DIR, 'logs/system.log')
 public_url = PUBLIC_URL  # 用於模板顯示
 
diff --git a/services/marketplace_product_matcher.py b/services/marketplace_product_matcher.py
index 280904a..998bc5f 100644
--- a/services/marketplace_product_matcher.py
+++ b/services/marketplace_product_matcher.py
@@ -94,6 +94,9 @@ NOISE_PHRASES = (
     "可調光",
     "聖誕禮物",
     "聖誕節禮物",
+    "懶人霜",
+    "打造素顏女神",
+    "第三代經典版白",
 )
 
 GENERIC_TOKENS = {
@@ -205,6 +208,15 @@ SEARCH_NOISE_PHRASES = (
     "官方直營",
     "官方",
     "經典款",
+    "校色",
+    "控油",
+    "好氣色",
+    "懶人霜",
+    "打造素顏女神",
+    "我愛修膚",
+    "第三代經典版白",
+    "第三代",
+    "經典版",
 )
 
 SEARCH_NOISE_TOKENS = {
@@ -241,9 +253,21 @@ SEARCH_NOISE_TOKENS = {
     "經典款",
     "款",
     "pdrn",
+    "校色",
+    "控油",
+    "好氣色",
+    "懶人霜",
+    "我愛修膚",
+    "第三代",
+    "經典版",
+    "版白",
 }
 
 SEARCH_IDENTITY_ANCHORS = (
+    "無極限保濕防曬妝前乳",
+    "水凝光透 妝前防護乳",
+    "水凝光透妝前防護乳",
+    "經典素顏霜",
     "時尚潮流美甲片",
     "止汗爽身噴霧",
     "止汗爽身乳膏pro",
@@ -300,6 +324,9 @@ SEARCH_IDENTITY_ANCHORS = (
     "屁屁噴",
     "身體乳",
     "緊實乳",
+    "妝前防護乳",
+    "妝前乳",
+    "素顏霜",
     "潔膚露",
     "浴潔露",
     "潔淨液",
@@ -387,6 +414,8 @@ PRODUCT_TYPES = {
     "潔膚露": ("潔膚露", "浴潔露", "護潔露", "沐浴露", "wash", "私密潔浴露"),
     "私密噴霧": ("私密噴霧", "抑菌噴霧", "醒肌抑菌噴霧"),
     "私密凝露": ("凝露", "激淨凝露", "緊實凝露", "亮白凝露"),
+    "妝前乳": ("妝前乳", "妝前防護乳", "妝前隔離", "primer"),
+    "素顏霜": ("素顏霜", "tone up cream"),
     "氣墊粉餅": ("氣墊粉餅", "cushion"),
     "眼影盤": ("眼影盤",),
     "打亮液": ("打亮液",),
@@ -1725,6 +1754,19 @@ def build_search_terms(name: str, max_terms: int = 3) -> list[str]:
     core_phrases = _ranked_search_core_phrases(identity, limit=4)
     core_short = " ".join(core_phrases[:2])
     core_primary = core_phrases[0] if core_phrases else ""
+    product_type_aliases = set(PRODUCT_TYPES.get(identity.product_type or "", ()))
+    chinese_detail_phrases = [
+        phrase
+        for phrase in core_phrases[1:]
+        if re.search(r"[\u4e00-\u9fff]", phrase)
+        and phrase != core_primary
+        and phrase != (identity.product_type or "")
+        and phrase not in SEARCH_BROAD_ANCHORS
+        and not any(phrase == alias or phrase in alias or alias in phrase for alias in product_type_aliases)
+    ]
+    modifier_with_primary = " ".join(
+        part for part in (chinese_detail_phrases[0] if chinese_detail_phrases else "", core_primary) if part
+    )
     variant_descriptors = sorted(_variant_descriptors(identity), key=lambda token: (len(token), token))
     variant_primary = variant_descriptors[0] if variant_descriptors else ""
     model_phrases = [
@@ -1741,6 +1783,9 @@ def build_search_terms(name: str, max_terms: int = 3) -> list[str]:
         " ".join(part for part in (brand_part, core_primary, variant_primary, spec_part) if part)
         if variant_sensitive and variant_primary
         else "",
+        " ".join(part for part in (brand_part, modifier_with_primary, spec_part) if part)
+        if modifier_with_primary and identity.product_type and identity.product_type in core_primary
+        else "",
         " ".join(part for part in (brand_part, primary_with_model, spec_part) if part),
         " ".join(part for part in (brand_part, core_short, spec_part) if part),
         " ".join(part for part in (brand_part, core_short) if part),
diff --git a/tests/test_marketplace_product_matcher.py b/tests/test_marketplace_product_matcher.py
index 69e9122..6f324cd 100644
--- a/tests/test_marketplace_product_matcher.py
+++ b/tests/test_marketplace_product_matcher.py
@@ -710,6 +710,21 @@ def test_marketplace_matcher_promotes_lactacyd_private_wash_exact_line():
     assert "shared_identity_anchor" in diagnostics.reasons
 
 
+def test_marketplace_matcher_promotes_eaoron_classic_tone_up_cream_exact_line():
+    from services.marketplace_product_matcher import score_marketplace_match
+
+    diagnostics = score_marketplace_match(
+        "【Eaoron】澳洲 經典素顏霜 50ml#0000199#(面霜 素顏霜 懶人霜 打造素顏女神)",
+        "【澳洲 EAORON】第三代經典版白素顏霜 50ml",
+        momo_price=399,
+        competitor_price=399,
+    )
+
+    assert diagnostics.score >= 0.76
+    assert diagnostics.hard_veto is False
+    assert "strong_exact_spec_match" in diagnostics.reasons
+
+
 def test_marketplace_matcher_promotes_shared_model_token_for_exact_model():
     from services.marketplace_product_matcher import score_marketplace_match
 
@@ -818,6 +833,30 @@ def test_marketplace_search_terms_prioritize_private_wash_identity_phrase():
     assert "滋潤緊緻" in terms[1]
 
 
+def test_marketplace_search_terms_prioritize_precise_primer_identity_phrase():
+    from services.marketplace_product_matcher import build_search_terms
+
+    shu_terms = build_search_terms(
+        "【植村秀】官方直營 無極限保濕防曬妝前乳30ml(Shu uemura/防曬/保濕/校色",
+        max_terms=5,
+    )
+    meme_terms = build_search_terms(
+        "【im meme】我愛修膚/水凝光透/控油/好氣色妝前防護乳(SPF50+PA++++)",
+        max_terms=5,
+    )
+    eaoron_terms = build_search_terms(
+        "【Eaoron】澳洲 經典素顏霜 50ml#0000199#(面霜 素顏霜 懶人霜 打造素顏女神)",
+        max_terms=5,
+    )
+
+    assert shu_terms[0] == "植村秀 無極限保濕防曬妝前乳 30ml"
+    assert "校色" not in " ".join(shu_terms[:3])
+    assert any("水凝光透 妝前防護乳" in term for term in meme_terms[:3])
+    assert "好氣色" not in " ".join(meme_terms[:3])
+    assert eaoron_terms[0] == "eaoron 素顏霜 50ml"
+    assert "懶人霜" not in " ".join(eaoron_terms[:3])
+
+
 def test_marketplace_search_terms_prefer_specific_line_over_generic_usage_words():
     from services.marketplace_product_matcher import build_search_terms