User portrait-based commodity recommendation method, device, computer equipment and storage medium
A product recommendation and user technology, applied in the field of artificial intelligence, can solve the problem of low recommendation accuracy, and achieve the effect of improving user experience, accurate user attributes, and accurate recommended products
Pending Publication Date: 2021-11-30
深圳平安智慧医健科技有限公司
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Problems solved by technology
[0004] Based on this, it is necessary to address the problem of low recommendation accuracy existing in the existing user portrait-based commodity recommendation methods, and provide a user portrait-based commodity recommendation, device, computer equipment, and storage medium
Method used
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[0047] The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them.
[0048] It should be clear that 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 creative efforts fall within the protection scope of the present invention.
[0049] Optional embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.
[0050] figure 1 It is an implementation environment diagram of a method for recommending products based on user portraits provided in an embodiment, such as figure 1 As shown, in this implementation environment, a computer device 110 and a terminal 120 are included.
[0051] It should be noted that the terminal 120 and the computer device 110 ma...
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The invention discloses a user portrait-based commodity recommendation method, a device, computer equipment and a storage medium. The method comprises the following steps: constructing a user portrait model based on user attributes; generating a corresponding user portrait according to the user portrait model and the attributes of the to-be-recommended commodity; and determining a target commodity from the plurality of to-be-recommended commodities according to the user portrait, and recommending the target commodity to a terminal user related to the target commodity in the user portrait. As the burying point data and the user data are combined for attribute extraction, the obtained user attributes are more accurate and more accord with the actual situation of the user; the user portrait model is constructed on the basis of the user attribute, so that the user portrait generated based on the user portrait model better conforms to the actual situation of the user, and finally, the recommended commodity determined from numerous to-be-recommended commodities based on the user portrait is more accurate and better conforms to the preference degree of the user; the user experience is greatly improved.
Description
technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a product recommendation method, device, computer equipment and storage medium based on user portraits. Background technique [0002] With the development of artificial intelligence technology, user portrait technology has been widely used. Through user portraits, user background, user characteristics, user personality tags, user behavior scenarios, etc. can be learned. Through user portraits, it is possible to comprehensively and meticulously extract a full picture of user information from massive user behavior data. User portraits can describe the same type of users in different dimensions. [0003] In the existing user portrait method, the determined user portrait is not accurate enough, and the user portrait does not meet the actual needs of the user. Therefore, the recommended products generated based on the user portrait do not meet the actual need...
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Login to View More IPC IPC(8): G06Q30/06G06F16/9535G06F16/9537
CPCG06Q30/0631G06F16/9535G06F16/9537
Inventor 黄建玲
Owner 深圳平安智慧医健科技有限公司