Method and device for determining network resources to be recommended, computer equipment and medium
A technology for network resources and determination methods, applied in the determination of network resources to be recommended, computer equipment and media fields, can solve problems such as affecting the effect of model recommendation
Pending Publication Date: 2020-12-01
GUANGZHOU BAIGUOYUAN INFORMATION TECH CO LTD
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Problems solved by technology
[0004] The embodiment of the present invention provides a method, device, computer equipment and medium for determining network resources to be recommended, which solves the problem in related technologies that relies on manual setting of model comprehensive parameters and affects the effect of model recommendation
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[0025] 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, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures. In addition, the embodiments and the features in the embodiments of the present invention can be combined with each other under the condition of no conflict.
[0026] figure 1 It is a flow chart of a method for determining network resources to be recommended provided by an embodiment of the present invention. The method can be executed by a device for determining network resources to be recommended, and the device can be implemented by software and / or hardware, and is usually configured on a server side. Such as ...
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The embodiment of the invention discloses a method and device for determining network resources to be recommended, computer equipment and a medium. The method comprises the following steps: obtainingrecommendation probabilities of the network resources determined by the at least two recommendation models, wherein each recommendation model is generated based on learning of a single behavior indexsample set; determining to-be-recommended network resources from the network resources based on the recommendation probability by adopting a comprehensive model, wherein the comprehensive model is determined based on each recommendation model and the corresponding target coefficient, wherein the target coefficient is a group of reference coefficients which enable the recommendation effect value ofthe comprehensive model to meet the expectation in at least two groups of randomly generated reference coefficients. The recommendation effect value is an index for evaluating the recommendation effect of the comprehensive model, the problem that the model recommendation effect is affected due to the fact that model comprehensive parameters are manually set in related technologies can be avoided, and the model recommendation effect is optimized.
Description
technical field [0001] The embodiments of the present invention relate to the field of computers, and in particular to a method, device, computer equipment and media for determining network resources to be recommended. Background technique [0002] In the recommendation scenario, in order to make the recommendation results closer to the user's actual preferences, network resource recommendations are usually based on multiple different behavioral indicators. For example, behavioral indicators can be click rate, like rate, share rate, follow rate and comment rate etc. [0003] A comprehensive model is usually used to recommend web resources based on multiple different behavioral indicators. Among them, the construction method of the comprehensive model can be: constructing respective recommendation models based on different behavioral indicators, and making the recommendation model learn the sample set of the corresponding behavioral indicators independently to obtain multipl...
Claims
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Login to View More IPC IPC(8): G06F16/9535H04N21/466H04N21/475
CPCG06F16/9535H04N21/4668H04N21/4662H04N21/4755
Inventor 张永池
Owner GUANGZHOU BAIGUOYUAN INFORMATION TECH CO LTD