diff --git a/api/app/celery_app.py b/api/app/celery_app.py
index e6b239dd..cac4eff1 100644
--- a/api/app/celery_app.py
+++ b/api/app/celery_app.py
@@ -114,6 +114,7 @@ celery_app.conf.update(
         'app.tasks.write_all_workspaces_memory_task': {'queue': 'periodic_tasks'},
         'app.tasks.update_implicit_emotions_storage': {'queue': 'periodic_tasks'},
         'app.tasks.init_implicit_emotions_for_users': {'queue': 'periodic_tasks'},
+        'app.tasks.init_interest_distribution_for_users': {'queue': 'periodic_tasks'},
     },
 )
 
diff --git a/api/app/controllers/memory_dashboard_controller.py b/api/app/controllers/memory_dashboard_controller.py
index 1c82b636..50e8ec8f 100644
--- a/api/app/controllers/memory_dashboard_controller.py
+++ b/api/app/controllers/memory_dashboard_controller.py
@@ -156,9 +156,13 @@ async def get_workspace_end_users(
             "app.tasks.init_implicit_emotions_for_users",
             kwargs={"end_user_ids": end_user_ids},
         )
-        api_logger.info(f"已触发隐性记忆按需初始化任务，候选用户数: {len(end_user_ids)}")
+        _celery_app.send_task(
+            "app.tasks.init_interest_distribution_for_users",
+            kwargs={"end_user_ids": end_user_ids},
+        )
+        api_logger.info(f"已触发按需初始化任务，候选用户数: {len(end_user_ids)}")
     except Exception as e:
-        api_logger.warning(f"触发隐性记忆按需初始化任务失败（不影响主流程）: {e}")
+        api_logger.warning(f"触发按需初始化任务失败（不影响主流程）: {e}")
 
     # 并发执行配置查询和记忆数量查询
     memory_configs_map, memory_nums_map = await asyncio.gather(
diff --git a/api/app/tasks.py b/api/app/tasks.py
index 5958d77d..05bc022d 100644
--- a/api/app/tasks.py
+++ b/api/app/tasks.py
@@ -2605,3 +2605,110 @@ def init_implicit_emotions_for_users(self, end_user_ids: List[str]) -> Dict[str,
             "elapsed_time": time.time() - start_time,
             "task_id": self.request.id,
         }
+
+
+# =============================================================================
+
+@celery_app.task(
+    name="app.tasks.init_interest_distribution_for_users",
+    bind=True,
+    ignore_result=True,
+    max_retries=0,
+    acks_late=False,
+    time_limit=3600,
+    soft_time_limit=3300,
+)
+def init_interest_distribution_for_users(self, end_user_ids: List[str]) -> Dict[str, Any]:
+    """事件触发任务：检查指定用户列表的兴趣分布缓存，无缓存则生成并写入 Redis。
+
+    由 /dashboard/end_users 接口触发，已有缓存的用户直接跳过。
+    默认生成中文（zh）兴趣分布数据。
+
+    Args:
+        end_user_ids: 需要检查的用户ID列表
+
+    Returns:
+        包含任务执行结果的字典
+    """
+    start_time = time.time()
+
+    async def _run() -> Dict[str, Any]:
+        from app.core.logging_config import get_logger
+        from app.cache.memory.interest_memory import InterestMemoryCache, INTEREST_CACHE_EXPIRE
+        from app.services.memory_agent_service import MemoryAgentService
+
+        logger = get_logger(__name__)
+        logger.info(f"开始按需初始化兴趣分布缓存，候选用户数: {len(end_user_ids)}")
+
+        initialized = 0
+        failed = 0
+        skipped = 0
+        language = "zh"
+
+        service = MemoryAgentService()
+
+        with get_db_context() as db:
+            for end_user_id in end_user_ids:
+                # 存在性检查：缓存有数据则跳过
+                cached = await InterestMemoryCache.get_interest_distribution(
+                    end_user_id=end_user_id,
+                    language=language,
+                )
+                if cached is not None:
+                    skipped += 1
+                    continue
+
+                logger.info(f"用户 {end_user_id} 无兴趣分布缓存，开始生成")
+                try:
+                    result = await service.get_interest_distribution_by_user(
+                        end_user_id=end_user_id,
+                        limit=5,
+                        language=language,
+                    )
+                    await InterestMemoryCache.set_interest_distribution(
+                        end_user_id=end_user_id,
+                        language=language,
+                        data=result,
+                        expire=INTEREST_CACHE_EXPIRE,
+                    )
+                    initialized += 1
+                    logger.info(f"用户 {end_user_id} 兴趣分布缓存生成成功")
+                except Exception as e:
+                    failed += 1
+                    logger.error(f"用户 {end_user_id} 兴趣分布缓存生成失败: {e}")
+
+        logger.info(f"兴趣分布按需初始化完成: 初始化={initialized}, 跳过={skipped}, 失败={failed}")
+        return {
+            "status": "SUCCESS",
+            "initialized": initialized,
+            "skipped": skipped,
+            "failed": failed,
+        }
+
+    try:
+        try:
+            import nest_asyncio
+            nest_asyncio.apply()
+        except ImportError:
+            pass
+
+        try:
+            loop = asyncio.get_event_loop()
+            if loop.is_closed():
+                loop = asyncio.new_event_loop()
+                asyncio.set_event_loop(loop)
+        except RuntimeError:
+            loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(loop)
+
+        result = loop.run_until_complete(_run())
+        result["elapsed_time"] = time.time() - start_time
+        result["task_id"] = self.request.id
+        return result
+    except Exception as e:
+        return {
+            "status": "FAILURE",
+            "error": str(e),
+            "elapsed_time": time.time() - start_time,
+            "task_id": self.request.id,
+        }