251031更新

推荐系统/main.py

@@ -27,8 +27,8 @@ from pydantic import BaseModel, Field, model_validator
 class InitializationArguments(BaseModel):
     """推荐系统初始化参数数据模型"""
 
-    # 时间窗口（单位为天），平衡实时性和运算效率
+    # 时间窗口（单位为天，默认无穷大）
-    time_window: int = Field(default=30, ge=5, le=360)
+    time_window: float = Field(default=float("inf"))
     # 衰减因子兰布达系数，控制兴趣分数衰减速率（默认不衰减）
     decay_lambda: float = Field(default=0, ge=0.00, le=10)
     # 用户特征向量维度数
@@ -299,11 +299,13 @@ class RecommenderSystem:
                     for item_recall in self.behaviors[user_heuristic]["history_items"]:
                         if item_recall not in items_heuristic:
                             items_recall[item_recall]["counts"] += 1
+                            items_recall[item_recall]["scores"] += self.behaviors[user_heuristic]["scores"][item_recall]
+
+
 
         # 计算余弦相似度
         for item_heuristic in items_heuristic:
             users_heuristic = self.items_inversion[item_heuristic]
-
             for item_recall in items_recall:
                 users_recall = self.items_inversion[item_recall]
 
@@ -459,6 +461,20 @@ if __name__ == "__main__":
             "timestamp": int(time.time() - 3200),
             "rating": 3,
         },
+        {
+            "user": "dddddd",
+            "item": "444444",
+            "type_": "rating",
+            "timestamp": int(time.time() - 3200),
+            "rating": 5,
+        },
+        {
+            "user": "dddddd",
+            "item": "111111",
+            "type_": "rating",
+            "timestamp": int(time.time() - 3200),
+            "rating": 5,
+        },
     ]
 
     for feedback_record in feedback_records: