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Information recommendation method and device based on artificial intelligence and electronic equipment

An artificial intelligence and information recommendation technology, applied in digital data information retrieval, electronic digital data processing, instruments, etc., can solve the problems affecting the prediction accuracy of click-through rate, affecting the accuracy of information recommendation, and the accuracy of information recommendation due to lack of characteristic data.

Active Publication Date: 2020-09-01
TENCENT TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

Various efforts have been made in related technologies to improve the prediction accuracy of the click-through rate of the machine learning model. For example, a large amount of feature data is constructed in the feature engineering stage to enable the machine learning model to fully learn. The lack of feature data will affect the click-through rate prediction accuracy and further Affects the accuracy of information recommendation
[0004] Therefore, the contradiction between the lack of feature data and the accuracy of information recommendation has become a technical problem that is difficult to solve in related technologies

Method used

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  • Information recommendation method and device based on artificial intelligence and electronic equipment
  • Information recommendation method and device based on artificial intelligence and electronic equipment
  • Information recommendation method and device based on artificial intelligence and electronic equipment

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Embodiment Construction

[0087] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings, and the described embodiments should not be considered as limiting the present invention, and those of ordinary skill in the art do not make any All other embodiments obtained under the premise of creative labor belong to the protection scope of the present invention.

[0088] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0089] In the following description, the term "first\second" is only used to distinguish similar objects, and does not represent a specific order for objects. It is understandable that "first\second" can be used ...

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Abstract

The invention provides an information recommendation method and device based on artificial intelligence, electronic equipment and a computer readable storage medium. The method comprises the steps ofobtaining a logistic regression feature of each piece of information in a first information set; predicting a corresponding first click rate based on the logistic regression feature of each piece of information in the first information set, and selecting a plurality of pieces of information sorted in the top from a descending sort result of the first click rate to form a second information set; and predicting a corresponding second click rate based on the plurality of logistic regression features of each piece of information in the second information set and the association relationship amongthe plurality of logistic regression features, and executing recommendation operation based on a descending sort result of the second click rate. According to the invention, the feature engineering complexity can be reduced and the recommendation response speed can be improved.

Description

technical field [0001] The present invention relates to artificial intelligence technology, and in particular, to an information recommendation method, device, electronic device and computer-readable storage medium based on artificial intelligence. Background technique [0002] Artificial intelligence (AI, Artificial Intelligence) is the theory, method, technology and application system that use digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. [0003] Information recommendation is an important application of artificial intelligence. The ranking module in the recommendation system usually predicts and ranks the click-through rate based on the machine learning model, and takes the high-scoring as the priority recommendation object. In the related art, various efforts have been made to improve the CTR prediction accuracy for ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 张晗
Owner TENCENT TECH (SHENZHEN) CO LTD
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