News recommending method and device based on artificial intelligence
A technology of artificial intelligence and recommendation methods, applied in the field of information processing, can solve problems such as waste of user time
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Embodiment 1
[0024] figure 1 It is a flow chart of an artificial intelligence-based news recommendation method provided by Embodiment 1 of the present invention. This embodiment is applicable to various news recommendation situations, and the method can be executed by the news recommendation device provided by the embodiment of the present invention. The device can be implemented in the form of software and / or hardware, and the device can be integrated into any device that provides news recommendation functions, such as a typical user terminal device, which can be a computer, or a mobile terminal (such as a mobile phone), a tablet computer etc., such as figure 1 shown, including:
[0025] S110. Obtain the first news feature of the news to be recommended and the second news feature of the browsed news.
[0026] Among them, news refers to reports of recent facts, and is a general term for various news styles such as news, communications, close-ups, sketches, reportage, etc. News in a narro...
Embodiment 2
[0037] figure 2 It is a flow chart of an artificial intelligence-based news recommendation method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above embodiments, and provides an optimized news feature based on the first news feature and the second news feature. The processing method for determining whether the news to be recommended and the browsed news are similar news by news features, specifically: inputting the first news features and the second news features into the neural network model for learning; according to the learning results It is determined whether the news to be recommended and the browsed news are identical news.
[0038] Correspondingly, the method of this embodiment includes:
[0039] S210. Obtain the first news feature of the news to be recommended and the second news feature of the browsed news.
[0040] S220. Input the first news feature and the second news feature into a neural network model for le...
Embodiment 3
[0052] image 3 It is a flow chart of an artificial intelligence-based news recommendation method provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the above embodiments, and provides an optimized method of determining the news to be recommended and the news to be recommended based on the learning results. The method for processing whether the browsed news is similar news is specifically: if the learning result meets the preset condition, then determine that the news to be recommended and the browsed news are similar news; if the learning result does not meet the preset condition, Then it is determined that the news to be recommended and the browsed news are non-similar news.
[0053] Correspondingly, the method of this embodiment includes:
[0054] S310. Obtain the first news feature of the news to be recommended and the second news feature of the browsed news.
[0055] S320. Input the first news feature and the second news feat...
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