Commodity recommendation method and device, electronic equipment and storage medium
A product recommendation and product technology, applied in business, data processing applications, instruments, etc., can solve problems such as difficulty in meeting user shopping preferences and poor user experience
Pending Publication Date: 2022-02-15
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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Problems solved by technology
[0004] In the prior art, since the user's shopping behavior, browsing behavior, and collection behavior cannot fully represent the user's shopping preferences, it is difficult for the recommended products to meet the user's shopping preferences, and the user experience is poor.
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[0020] In order to more detailed understanding of the characteristics and technical content of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the appended claims. In the following technical description, it is contemplated to provide a plurality of details to provide sufficient understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, in order to simplify the drawings, well-known structures and devices can simplify the display.
[0021] The description and claims of the present disclosure and the references, "first", "second", etc., "second", etc. It is to be understood that the data such as use can be interchanged in appropriate, so as to the embodiments of the present disclosure described herein. Moreover, the terms "including" and "having" and any variations are intended to cover the inclusion of his inclu...
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The invention relates to the technical field of commodity recommendation, and discloses a method for commodity recommendation, and the method comprises the steps: obtaining comment data of a user for a target commodity and attribute data corresponding to the target commodity; obtaining an emotion score corresponding to the target commodity according to the comment data; obtaining a comment embedding vector corresponding to the target commodity according to the emotion score, and obtaining an attribute embedding vector corresponding to the target commodity according to the attribute data; fusing and splicing the comment embedding vector and the attribute embedding vector to obtain a commodity embedding vector corresponding to the target commodity; determining a to-be-recommended commodity according to the commodity embedding vector; and recommending the to-be-recommended commodity to the user. Since the comment data comprises multiple aspects of comments of the user on the target commodity, the preference of the user on the target commodity can be better reflected, and the commodity which better conforms to the shopping preference of the user can be recommended to the user according to the comment data and the attribute data. The invention further discloses a commodity recommendation device, electronic equipment and a storage medium.
Description
Technical field [0001] The present application relates to the field of commodity recommendation, such as a method and apparatus, electronic device, storage medium for a product recommendation. Background technique [0002] With the development and popularization of Internet technology and e-commerce, more and more Internet users have emerged, people are also increasingly accustomed to online shopping platforms. Internet shopping platforms typically predict users' shopping preferences or shopping needs of users based on user shopping behaviors, browsing behaviors, and collection behaviors, and make users recommendation. [0003] In the process of implementing the present disclosure, there is a problem in the relevant techniques: [0004] In the prior art, due to user shopping behavior, browsing behavior and collection behavior does not fully represent user shopping preferences, it is difficult to meet the user's shopping preferences, and the user experience is poor. Inventive con...
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CPCG06Q30/0631
Inventor 李犇张杰于皓吴信东吴明辉袁杰陈栋罗华刚王展邓礼志
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD