From a882ece57940fac4670bf3979cccc9e2491a2aba Mon Sep 17 00:00:00 2001
From: liujiang <569804566@qq.com>
Date: Sun, 9 Nov 2025 19:49:07 +0800
Subject: [PATCH] =?UTF-8?q?master=EF=BC=9A=E8=B0=83=E6=95=B4=E5=95=86?=
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---
 .../src/main/java/com/ruoyi/quartz/task/XktTask.java | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/ruoyi-quartz/src/main/java/com/ruoyi/quartz/task/XktTask.java b/ruoyi-quartz/src/main/java/com/ruoyi/quartz/task/XktTask.java
index 19d2cda08..0b0a03253 100644
--- a/ruoyi-quartz/src/main/java/com/ruoyi/quartz/task/XktTask.java
+++ b/ruoyi-quartz/src/main/java/com/ruoyi/quartz/task/XktTask.java
@@ -540,12 +540,12 @@ public class XktTask {
             final long downloadCount = ObjectUtils.isEmpty(prodStatMap.get(x.getId())) ? 0L : prodStatMap.get(x.getId()).getDownloadCount();
             final long favCount = ObjectUtils.isEmpty(userFavMap.get(x.getId())) ? 0L : userFavMap.get(x.getId());
             final long saleCount = ObjectUtils.isEmpty(saleMap.get(x.getId())) ? 0L : saleMap.get(x.getId());
-            // 计算推荐权重，权重计算公式为：(浏览次数 * 0.3 + 下载次数 + 收藏次数 + 销售量 * 0.3)
-            final long recommendWeight = (long) (viewCount * 0.3 + downloadCount + favCount + saleCount * 0.3);
-            // 根据销售数量计算销售权重，权重占销售数量的30%
-            final long saleWeight = (long) (saleCount * 0.3);
-            // 计算人气权重，权重计算公式为：(浏览次数 * 0.1 和 100 取最小值) + 下载次数 + 收藏次数
-            final long popularityWeight = (long) (Math.min(viewCount * 0.1, 100) + downloadCount + favCount);
+            // 计算推荐权重，权重计算公式为：(浏览次数 * 0.2 + 下载次数 * 0.3 + 收藏次数 * 0.2 + 销售量 * 0.3)
+            final long recommendWeight = (long) (viewCount * 0.2 + downloadCount * 0.3 + favCount * 0.2 + saleCount * 0.3);
+            // 根据销售数量计算销售权重，权重计算公式为：(销售量 * 0.7 + 下载次数 * 0.1 + 收藏次数 * 0.1 + 浏览次数 * 0.1)
+            final long saleWeight = (long) (saleCount * 0.7 + downloadCount * 0.1 + favCount * 0.1 + viewCount * 0.1);
+            // 计算人气权重，权重计算公式为：(浏览次数 * 0.3 + 下载次数 * 0.2 + 收藏次数 * 0.2 + 销售量 * 0.3)
+            final long popularityWeight = (long) (viewCount * 0.3 + downloadCount * 0.2 + favCount * 0.2 + saleCount * 0.3);
             x.setRecommendWeight(recommendWeight).setSaleWeight(saleWeight).setPopularityWeight(popularityWeight);
         });
         this.storeProdMapper.updateById(storeProdList);