Commodity recommendation strategy determination method and device, computer equipment and storage medium
A product recommendation and strategy determination technology, applied in the computer field, can solve problems such as difficulty in taking into account timeliness and optimization effects at the same time, affecting users' product recommendation service experience, etc., so as to reduce online optimization time, improve recommendation effect, and online processing time. reduced effect
Pending Publication Date: 2020-07-31
深圳市物语智联科技有限公司
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[0005] The purpose of the embodiment of the present invention is to provide a product recommendation strategy determination method, device, computer equipment and storage medium, aiming at solving the technical problem that it is difficult to take both timeliness and optimization effect into account in the process of optimizing product recommendation strategies , affecting the user's product recommendation service experience
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[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0027] Such as figure 1 As shown, it is a flow chart of the steps of a method for determining a product recommendation strategy provided by an embodiment of the present invention, which specifically includes the following steps:
[0028] Step S102, determining a plurality of preferred offline product recommendation strategies.
[0029] In the embodiment of the present invention, the plurality of preferred offline commodity recommendation strategies are commodity recommendation strategies determined in advance in an offline state, specifically, commodity recommendation strategies determined in adva...
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The invention belongs to the technical field of computers, and provides a commodity recommendation strategy determination method and device, computer equipment and a storage medium, and the commodityrecommendation strategy determination method comprises the steps: determining a plurality of optimal offline commodity recommendation strategies; processing the plurality of optimal offline commodityrecommendation strategies to determine an optimal online commodity recommendation strategy; and optimizing the optimal online commodity recommendation strategy to generate an optimal online commodityrecommendation strategy. According to the commodity recommendation strategy determination method provided by the embodiment of the invention, a plurality of optimal offline commodity recommendation strategies are determined in advance; a known optimal offline commodity recommendation strategy is further processed online in real time; on the one hand, the determination of the offline commodity recommendation strategy does not occupy the online optimization time; on the other hand, the online processing duration is significantly reduced, so the timeliness of the commodity recommendation serviceis effectively improved, and the commodity recommendation strategy is further optimized in cooperation with subsequent steps, and the recommendation effect of the commodity recommendation service is effectively improved.
Description
technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a method, device, computer equipment and storage medium for determining a commodity recommendation strategy. Background technique [0002] Commodity recommendation service can recommend multiple commodities based on commodity features and user characteristic information. Generally speaking, offline product recommendation strategies usually cannot directly promote the actual effect of online recommendation, so it is usually necessary to use online real-time computing algorithms to optimize product recommendation strategies to increase user click-through rates. [0003] However, at present, using online real-time computing algorithms to optimize product recommendation strategies often takes a lot of optimization time, and considering the timeliness of product recommendation services, the long online optimization process will affect the user's product recommendation se...
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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 曾峰黎阳
Owner 深圳市物语智联科技有限公司