Recommendation method for products of interest to users
A recommendation method and user technology, which is applied in the field of recommendation of products that users are interested in, can solve the problems of lack of adaptability, limitation of data learning and understanding of multi-pair sorting algorithm, lack of personalization, etc., achieve accurate recommendation effect and improve recommendation ability Effect
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[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0022] An embodiment of the present invention provides a method for recommending products of interest to users, which uses an adaptive sampling method to improve the recommendation ability of the multi-pair ranking algorithm, making the recommendation effect of the multi-pair ranking recommendation method more accurate.
[0023] Such as figure 1 As shown, the embodiment of the present invention provides a flowchart of a method for recommending item...
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