Product recommendation method and device, computer readable storage medium and terminal
A recommendation method and product technology, which is applied in the computer field, can solve the problems of missing the purchase intention product, not considering the matching between the product and the user, and the lack of viewing intention of the product, so as to increase the probability of being purchased, increase the viewing conversion rate, and improve Testimonials - see the conversion rate effect
Pending Publication Date: 2022-07-12
胡曼恬 +1
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[0004] However, the above scheme does not take into account the matching between products and users, and often recommends a large number of products that users are not interested in and have low purchase intentions. The product
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[0063] In the prior art, the backend server can recommend products to users through a network platform and provide purchase channels. However, the existing product recommendation methods are usually based on a single dimension, and do not take into account the matching between products and users. Recommending a large number of products to users that they are not interested in and have a low purchase intention, causing users to lack the willingness to view the recommended products, and even miss the products that should have the purchase intention.
[0064] The inventor of the present invention has found through research that, in the existing product recommendation scheme, the product recommendation request input by the user is usually received first, and then the target products to be recommended are sorted according to the product recommendation request, and the user is asked to recommend.
[0065] However, in the recommendation process, there may be various problems. For exa...
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The invention discloses a product recommendation method and device, a computer readable storage medium and a terminal. The method comprises the steps of obtaining one or more pieces of historical product viewing information of a user within a preset duration; respectively forming a cumulative distribution function for each historical purchase influence feature by adopting a preset kernel function, and forming a result cumulative distribution function for the historical purchase result by adopting the preset kernel function; selecting one or more cumulative distribution functions and the result cumulative distribution function, constructing a Gaussian coupling joint cumulative distribution function, and constructing a Gaussian coupling joint density function; constructing a target function, and maximizing the target function to determine the probability that the target product with the optimal fitting effect is purchased; and determining whether to recommend the target product to the user. The method has an opportunity to decide whether to recommend to the user according to the viewing willingness of the user to the target product.
Description
technical field [0001] The present invention relates to the field of computer technology, and in particular, to a product recommendation method and device, a computer-readable storage medium, and a terminal. Background technique [0002] With the rapid development of Internet technology and the rapid popularization of intelligent terminals, recommending products to users through network platforms has become a common method of product recommendation. For example, the user can view various products recommended by the business party to him through the product recommendation page on his mobile device. [0003] In the prior art, sorting is usually based on a single dimension, and then recommending to the user. Taking purchasing a product as an example, in response to the user opening the product recommendation page, it can be determined that the user sends a product recommendation request, and the product recommendation request is automatically displayed on the shopping page to t...
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Login to View More IPC IPC(8): G06Q30/06G06F16/2457G06F16/2458
CPCG06Q30/0631G06Q30/0643G06F16/2457G06F16/2462
Inventor 胡曼恬曹竞存周翔
Owner 胡曼恬