Commodity recommendation method and device
A product recommendation and product technology, which is applied in business, data processing applications, instruments, etc., can solve the problems of reduced click rate of recommended products, difficulty in identifying the same type of products, limited number of recommended products, etc.
Active Publication Date: 2021-07-09
QINGDAO HISENSE SMART HOME SYST CO LTD
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However, these methods often recommend similar products that the user has already purchased. For example, the user just bought shampoo of brand A and refrigerator of brand B. The system will also recommend shampoos and refrigerators of other brands, and the number of recommended products is limited. This leads to a decrease in the click-through rate of recommended products
[0003] The reason for the above results is that it is difficult for the system to identify which products belong to the same category
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[0043] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than 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.
[0044] figure 1 A system architecture provided for an embodiment of the present invention. Such as figure 1 As shown, the system architecture can be a server 100 , and the server 100 can include a processor 110 , a communication interface 120 and a memory 130 .
[0045] Wherein, the communication interface 120 is used to communicate with the terminal equipment, send and receive information transmitted by the terminal equipment, and re...
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The invention discloses a commodity recommendation method and device; the method comprises the steps: obtaining a recommended commodity sequence of a user, wherein the recommended commodity sequence comprises a commodity ID, a commodity name, an identification category and a sorting score; according to the identification category and the latest purchase date of a commodity purchased by the user and the identification category and the sorting score of each commodity in the recommended commodity sequence, carrying out the commodity recommendation according to the identification category and the latest purchase date of the commodity purchased by the user; and reordering the recommended commodity sequence to obtain a recommendation result, and sending the recommendation result to the user. According to the invention, by identifying the purchased commodities of the user and the repurchasing cycle thereof, the arrangement sequence of the recommended commodities is optimized, the click rate of the recommended commodities is improved, and the shopping experience of the user is improved.
Description
technical field [0001] The present invention relates to the technical field of intelligent recommendation, in particular to a product recommendation method and device. Background technique [0002] The traditional recommendation algorithm analyzes the products that the user is interested in based on the user's shopping, browsing, collection and other data, so as to construct the recommendation sequence. However, these methods often recommend similar products that the user has already purchased. For example, the user just bought shampoo of brand A and refrigerator of brand B. The system will also recommend shampoos and refrigerators of other brands, and the number of recommended products is limited. This in turn leads to a decrease in the click-through rate of recommended products. [0003] The reason for the above results is that it is difficult for the system to identify which products belong to the same category of products. Contents of the invention [0004] Embodimen...
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IPC IPC(8): G06Q30/02
CPCG06Q30/0255
Inventor 曲文武李江漫翟正元陈奕衡张锐埼
Owner QINGDAO HISENSE SMART HOME SYST CO LTD