优化

@@ -13,7 +13,6 @@ import org.springframework.web.servlet.ModelAndView;
 import com.yoho.core.common.monitor.ThreadProfile;
 import com.yoho.core.common.utils.HttpRequestUtils;
 import com.yoho.search.base.monitor.PerformanceMonitor;
-import com.yoho.search.common.utils.HttpServletRequestUtils;
 
 /**
  * 耗时拦截器
@@ -67,9 +66,9 @@ public class ControllerCostInterceptor implements HandlerInterceptor {
 			if (cost <= 500) {
 				return;
 			}
-
-			// 5、打印响应超过500ms的请求与参数
-			CONTROLLER_COST.info("run more than 500ms ,cost [{}] ms, RequestURL: {}", cost, HttpServletRequestUtils.getRequestUrl(request));
+			
+//			// 5、打印响应超过500ms的请求与参数
+//			CONTROLLER_COST.info("run more than 500ms ,cost [{}] ms, RequestURL: {}", cost, HttpServletRequestUtils.getRequestUrl(request));
 
 		} catch (Exception e) {
 			// TODO: handle exception

@@ -9,6 +9,8 @@ import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
 import com.yoho.search.base.utils.DateUtil;
+import com.yoho.search.common.cache.CacheType;
+import com.yoho.search.common.cache.aop.SearchCacheAble;
 import com.yoho.search.core.personalized.BigDataRedisService;
 import com.yoho.search.core.personalized.PersonalizedSearch;
 import com.yoho.search.service.base.SearchDynamicConfigService;
@@ -27,6 +29,7 @@ public class PersonalVectorFeatureSearch {
 	@Autowired
 	private BigDataRedisService bigDataRedisService;
 
+	@SearchCacheAble(cacheInMinute = 10, cacheName = "PERSIONAL_VECTOR", cacheType = CacheType.EHCACHE)
 	public PersonalizedSearch getPersonalizedSearch(Map<String, String> paramMap) {
 		// 1、参数校验
 		String uid = paramMap.get("uid");
@@ -45,7 +48,7 @@ public class PersonalVectorFeatureSearch {
 		}
 		return new PersonalizedSearch(uid, vectorFeatureVersion, userVectorFeature);
 	}
-	
+
 	/**
 	 * 根据UID和SKN列表获取特征相关性评分，该方法用于测试和问题定位
 	 *