A kind of recommended method and device
A recommendation method and recommendation item technology, applied in the computer field, can solve the problem of low recommendation adoption rate
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Embodiment 1
[0026] figure 1 The implementation flow of the recommendation method provided by Embodiment 1 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
[0027] In step S101, historical recommendation preference data is received, and extreme points of recommendation targets are obtained according to the historical recommendation preference data, wherein the recommendation targets include accuracy, coverage and diversity.
[0028] In the embodiment of the present invention, the recommendation target refers to the requirements that need to be met when obtaining the products recommended to the user. These requirements include accuracy, coverage and diversity, that is, the products recommended to the user need to meet the accuracy, coverage and diversity. requirements. Pre-provide historical preference data of all users on items (for example, commodities), tha...
Embodiment 2
[0047] figure 2 The structure of the recommendation device provided by Embodiment 2 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:
[0048] The extreme point acquisition unit 21 is configured to receive historical recommendation preference data, and acquire extreme points of recommendation targets according to the historical recommendation preference data, wherein the recommendation targets include accuracy, coverage and diversity.
[0049] In the embodiment of the present invention, all users' historical preference data for items (for example, commodities) are provided in advance, that is, historical recommendation preference data. After receiving the historical recommendation preference data, the extreme point acquisition unit obtains the recommended target extremum point. Preferably, the degree of preference in the historical preference data of all users for com...
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