| 摘要 |
A data mining component collectively analyzes item acquisition histories of users of an electronic catalog of items and identifies pairs of catalog items that tend to be acquired sequentially. The data mining component may also generate data regarding such sequential item acquisition patterns. For example, the data mining component may determine whether user acquisitions of the two items tend to be spaced apart in time by a characterizing time interval, and/or may determine percentages of users who have followed particular sequential acquisition patterns. Information regarding the detected sequential item acquisition patterns may be exposed to users on electronic catalog pages, and/or may be used to select the timing with which particular items are recommended to users.
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