diff --git a/main.py b/main.py
index 3aebb074e3..68ad4b9437 100644
--- a/main.py
+++ b/main.py
@@ -163,7 +163,7 @@ def feature_card_cosine_similarity(card1, card2):
     return result[0][1].item()
 
 
-async def fetch_data(user_id, card_type):
+async def fetch_data(user_id, card_type, want_to_find):
 
     location_cluster = [{'강서구', '양천구'}, {'구로구', '영등포구', '금천구'}, {'동작구', '관악구'}, {'서초구', '강남구'},
                {'송파구', '강동구'}, {'은평구', '서대문구', '마포구'}, {'종로구', '중구', '용산구'}, {'중랑구', '동대문구', '성동구', '광진구'},
@@ -187,24 +187,31 @@ async def fetch_data(user_id, card_type):
             cluster_index = i
             break
 
-    user_cards = []
-    post_cards = []
-    for location in location_cluster[cluster_index]:
-        query = f"""
-                SELECT member_id AS id, location, member_features::jsonb AS features, gender, 'my' AS card_type, birth_year
-                FROM member_account
-                JOIN feature_card 
-                ON member_account.my_card_id = feature_card.feature_card_id
-                WHERE location like '%{location}%' and gender IN ('{user_gender.lower()}', '{user_gender.upper()}')
-                UNION ALL
-                SELECT member_id as id, location, member_features::jsonb AS features, gender, 'mate' AS card_type, birth_year
-                FROM member_account
-                JOIN feature_card 
-                ON member_account.mate_card_id = feature_card.feature_card_id
-                WHERE location like '%{location}%' and gender IN ('{user_gender.lower()}', '{user_gender.upper()}')
-                """ 
-        user_cards.extend([dict(record) for record in await database.fetch_all(query)])
-
+    cards = []
+
+    if want_to_find == 'member':
+        for location in location_cluster[cluster_index]:
+            if card_type == 'my':
+                query = f"""
+                        SELECT member_id as id, location, member_features::jsonb AS features, gender, 'mate' AS card_type, birth_year
+                        FROM member_account
+                        JOIN feature_card 
+                        ON member_account.mate_card_id = feature_card.feature_card_id
+                        WHERE location like '%{location}%' and gender IN ('{user_gender.lower()}', '{user_gender.upper()}')
+                        """ 
+                cards.extend([dict(record) for record in await database.fetch_all(query)])
+
+            elif card_type == 'mate':
+                query = f"""
+                        SELECT member_id AS id, location, member_features::jsonb AS features, gender, 'my' AS card_type, birth_year
+                        FROM member_account
+                        JOIN feature_card 
+                        ON member_account.my_card_id = feature_card.feature_card_id
+                        WHERE location like '%{location}%' and gender IN ('{user_gender.lower()}', '{user_gender.upper()}')
+                        """
+                cards.extend([dict(record) for record in await database.fetch_all(query)])
+
+    if want_to_find == 'post':
         query = f"""
                 SELECT id, location, member_features::jsonb AS features, gender, 'room' AS card_type, member_account.birth_year
                 FROM shared_room_post
@@ -212,16 +219,15 @@ async def fetch_data(user_id, card_type):
                 JOIN member_account ON member_account.member_id = shared_room_post.publisher_id
                 WHERE location like '%{location}%' and gender IN ('{user_gender.lower()}', '{user_gender.upper()}')
                 """
-        post_cards.extend([dict(record) for record in await database.fetch_all(query)])
+        cards.extend([dict(record) for record in await database.fetch_all(query)])
 
-    return user_cards, post_cards, dict(user)
+    return cards, dict(user)
 
 def fill_missing_values(df):
     imputer = SimpleImputer(strategy='mean')
     return imputer.fit_transform(df)
 
-async def clustering(user_cards, post_cards, user_card):
-    cards = [*user_cards, *post_cards]
+async def clustering(cards, user_card):
 
     if cards == []:
         cards = [{'id': 'male_default', 'features': None, 'gender': 'MALE', 'card_type': 'my', 'birth_year': '1999'}, 
@@ -327,13 +333,13 @@ async def root():
 @app.get("/recommendation/update")
 async def update():
     start = time.time()
-    user_cards, post_cards, user_card = (
-        await fetch_data("kakao_0", "my")
+    cards, user_card = (
+        await fetch_data("kakao_0", "my", "member")
     )
     
     print('fetch complete')
 
-    await clustering(user_cards, post_cards, user_card)
+    await clustering(cards, user_card)
 
     print("clustering complete")
     print("time : ", time.time() - start)
@@ -341,12 +347,12 @@ async def update():
 
 @app.get("/fetch")
 async def fetch():
-    user_cards, post_cards = (
-        await fetch_data("kakao_0", "my")
+    cards, user_card = (
+        await fetch_data("kakao_0", "my", "member")
     )
 
-    print(user_cards)
-    print(generate_df_data(post_cards))
+    print(cards)
+    print(generate_df_data(cards))
 
 @app.get("/insert")
 async def insert():