diff --git a/app/chain/recommend.py b/app/chain/recommend.py
index 811001ba..5f4a3e5b 100644
--- a/app/chain/recommend.py
+++ b/app/chain/recommend.py
@@ -1,4 +1,8 @@
-from typing import Any
+from functools import wraps
+from typing import Any, Callable
+
+from cachetools import TTLCache
+from cachetools.keys import hashkey
 
 from app.chain import ChainBase
 from app.chain.bangumi import BangumiChain
@@ -9,6 +13,35 @@ from app.schemas import MediaType
 from app.utils.common import log_execution_time
 from app.utils.singleton import Singleton
 
+# 推荐相关的专用缓存
+recommend_ttl = 6 * 3600
+recommend_cache = TTLCache(maxsize=256, ttl=recommend_ttl)
+
+
+# 推荐缓存装饰器，避免偶发网络获取数据为空时，页面由于缓存长时间渲染异常问题
+def cached_with_empty_check(func: Callable):
+    """
+    缓存装饰器，用于缓存函数的返回结果，仅在结果非空时进行缓存
+
+    :param func: 被装饰的函数
+    :return: 包装后的函数
+    """
+
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        # 使用 cachetools 缓存，构造缓存键
+        cache_key = hashkey(*args, **kwargs)
+        if cache_key in recommend_cache:
+            return recommend_cache[cache_key]
+        result = func(*args, **kwargs)
+        # 如果返回值为空，则不缓存
+        if result in [None, [], {}]:
+            return result
+        recommend_cache[cache_key] = result
+        return result
+
+    return wrapper
+
 
 class RecommendChain(ChainBase, metaclass=Singleton):
     """
@@ -21,7 +54,25 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         self.doubanchain = DoubanChain()
         self.bangumichain = BangumiChain()
 
+    def refresh_recommend(self):
+        """
+        刷新推荐
+        """
+        self.tmdb_movies()
+        self.tmdb_tvs()
+        self.tmdb_trending()
+        self.bangumi_calendar()
+        self.douban_movies()
+        self.douban_tvs()
+        self.movie_top250()
+        self.tv_weekly_chinese()
+        self.tv_weekly_global()
+        self.tv_animation()
+        self.movie_hot()
+        self.tv_hot()
+
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tmdb_movies(self, sort_by: str = "popularity.desc", with_genres: str = "",
                     with_original_language: str = "", page: int = 1) -> Any:
         """
@@ -35,6 +86,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [movie.to_dict() for movie in movies] if movies else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tmdb_tvs(self, sort_by: str = "popularity.desc", with_genres: str = "",
                  with_original_language: str = "", page: int = 1) -> Any:
         """
@@ -48,6 +100,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [tv.to_dict() for tv in tvs] if tvs else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tmdb_trending(self, page: int = 1) -> Any:
         """
         TMDB流行趋势
@@ -56,6 +109,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [info.to_dict() for info in infos] if infos else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def bangumi_calendar(self, page: int = 1, count: int = 30) -> Any:
         """
         Bangumi每日放送
@@ -64,6 +118,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in medias[(page - 1) * count: page * count]] if medias else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def movie_showing(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣正在热映
@@ -72,6 +127,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in movies] if movies else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def douban_movies(self, sort: str = "R", tags: str = "", page: int = 1, count: int = 30) -> Any:
         """
         豆瓣最新电影
@@ -81,6 +137,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in movies] if movies else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def douban_tvs(self, sort: str = "R", tags: str = "", page: int = 1, count: int = 30) -> Any:
         """
         豆瓣最新电视剧
@@ -90,6 +147,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in tvs] if tvs else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def movie_top250(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣电影TOP250
@@ -98,6 +156,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in movies] if movies else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tv_weekly_chinese(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣国产剧集榜
@@ -106,6 +165,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in tvs] if tvs else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tv_weekly_global(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣全球剧集榜
@@ -114,6 +174,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in tvs] if tvs else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tv_animation(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣热门动漫
@@ -122,6 +183,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in tvs] if tvs else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def movie_hot(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣热门电影
@@ -130,6 +192,7 @@ class RecommendChain(ChainBase, metaclass=Singleton):
         return [media.to_dict() for media in movies] if movies else []
 
     @log_execution_time(logger=logger)
+    @cached_with_empty_check
     def tv_hot(self, page: int = 1, count: int = 30) -> Any:
         """
         豆瓣热门电视剧