| 摘要 |
<p>A recommendation system may acquire historic data associated with a user ID. The historic data may include multiple item IDs associated with the user ID. The recommendation system may calculate first multiple correlations between an item ID of the multiple item IDs and other IDs of the multiple item IDs based on the historic data. The first multiple correlations may be used to determine multiple correlated item IDs associated with the item ID. Using the multiple correlated item IDs, the recommendation system may align a user-item scoring matrix to generate an aligned scoring matrix. The aligned scoring matrix may be used to determine a recommended item collection.</p> |
