diff --git a/.gitignore b/.gitignore
index 6973892..f07dd00 100644
--- a/.gitignore
+++ b/.gitignore
@@ -316,6 +316,8 @@ docs/.vuepress/.temp/
 # and uncomment the following lines
 # .pnp.*
 
+### macOS ###
+.DS_Store
 
 # End of https://www.toptal.com/developers/gitignore/api/python,linux,vim
 data*/*
diff --git a/nonebot_bison/platform/bilibili.py b/nonebot_bison/platform/bilibili.py
index b4ed4ff..9769348 100644
--- a/nonebot_bison/platform/bilibili.py
+++ b/nonebot_bison/platform/bilibili.py
@@ -12,7 +12,7 @@ from typing_extensions import Self
 
 from ..post import Post
 from ..types import ApiError, Category, RawPost, Tag, Target
-from ..utils import SchedulerConfig, jaccard_text_similarity
+from ..utils import SchedulerConfig, text_similarity
 from .platform import CategoryNotRecognize, CategoryNotSupport, NewMessage, StatusChange
 
 
@@ -151,7 +151,7 @@ class Bilibili(NewMessage):
             title = card["title"]
             desc = card.get("desc", "")
 
-            if jaccard_text_similarity(desc, dynamic) > 0.8:
+            if text_similarity(desc, dynamic) > 0.8:
                 # 如果视频简介和动态内容相似，就只保留长的那个
                 if len(dynamic) > len(desc):
                     text = f"{dynamic}\n=================\n{title}"
@@ -159,12 +159,7 @@ class Bilibili(NewMessage):
                     text = f"{title}\n\n{desc}"
             else:
                 # 否则就把两个拼起来
-                text = f"""
-                {dynamic}
-                \n=================\n
-                {title}\n\n
-                {desc}
-                """
+                text = f"{dynamic}\n=================\n{title}\n\n{desc}"
 
             pic = [card["pic"]]
         elif post_type == 4:
diff --git a/nonebot_bison/utils/__init__.py b/nonebot_bison/utils/__init__.py
index 31082ad..60aeacc 100644
--- a/nonebot_bison/utils/__init__.py
+++ b/nonebot_bison/utils/__init__.py
@@ -101,17 +101,6 @@ if plugin_config.bison_filter_log:
     )
 
 
-def jaccard_text_similarity(str1: str, str2: str) -> float:
-    """
-    计算两个字符串(基于字符)的
-    [Jaccard相似系数](https://zh.wikipedia.org/wiki/雅卡尔指数)
-    是否达到阈值
-    """
-    set1 = set(str1)
-    set2 = set(str2)
-    return len(set1 & set2) / len(set1 | set2)
-
-
 def text_similarity(str1, str2) -> float:
     matcher = difflib.SequenceMatcher(None, str1, str2)
     t = sum(temp.size for temp in matcher.get_matching_blocks())