| 摘要 |
Techniques for user recommendation are described herein. These techniques include sorting, by a server, sellers from transaction records of buyers according to sequential orders associated with these transaction records. The server also creates transaction tracks for individual buyers, determines identical transaction tracks among transaction tracks of different buyers, and establishes associations among the sellers included in identical transaction tracks. Based on the associations, the server may make user recommendations. These techniques increase accuracy of associations among sellers as well as of user recommendation, and also save computing resources. |
