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Please predict whether this patent is acceptable.PATENT ABSTRACT: Embodiments of this application disclose a recommendation method, comprising: determining, according to a hidden variable characteristic parameter of a user and a hidden variable characteristic parameter of each branch node of a content tree, a probability that the user selects each branch node on an nth level of the content tree; and recommending, to the user according to the probability that the user selects each branch node on the nth level of the content tree, a content category corresponding to at least one branch node on the nth level of the content tree. This application further discloses another recommendation method and recommendation apparatus. According to the recommendation method and apparatus in the embodiments of this application, a probability that a user selects each node on a specific level in a tree structure of to-be-recommended contents can be determined according to a hidden variable characteristic parameter of the user, and a recommendation is given based on the probability, which overcomes a problem in the prior art that a need of a user for customization is overlooked, so that a customized recommendation can be given to a user more accurately.