| 摘要 |
In an automated method for providing personalised recommendations to a user, a global probabilistic purchase model based on prior interactions of a group of users of a system, is used in the generation of personalised recommendations for future purchases for a given user. Attributes of the given user are used to identify characteristics relating to the user's personal purchasing, correction factors are calculated to update the output of the global probabilistic purchase model to personalise the recommendations for the user.
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