请求基于权重计算物品的加权频率（附示例数据）

Got it, let's work through calculating the weighted frequency for each item using your dataset. As you outlined, the weighted frequency for an item is calculated by taking the sum of all its weights and dividing by the total number of entries (which is 14 here).

Step 1: Calculate the total weight for each item #

First, we tally up all the weights associated with each item:

• Camera: Weights are 1.0, 0.9, 0.9, 0.729, 0.6561
  Total weight = 1.0 + 0.9 + 0.9 + 0.729 + 0.6561 = 4.1851
• Laptop: Weights are 1.0, 1.0
  Total weight = 1.0 + 1.0 = 2.0
• Computer: Weight is 1.0
  Total weight = 1.0
• Mobile: Weights are 0.9, 0.9, 0.81, 0.81, 0.81, 0.81
  Total weight = (0.9 * 2) + (0.81 * 4) = 1.8 + 3.24 = 5.04

Step 2: Compute weighted frequencies #

Divide each item's total weight by the total number of entries (14) to get the weighted frequency:

For example, the Camera's weighted frequency aligns with your example logic: 4.1851 / 14 ≈ 0.2989

内容的提问来源于stack exchange，提问作者Monty