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

Abstract

The invention provides an information method and device based on artificial intelligence, electronic equipment and a computer readable storage medium. The method comprises the steps of determining a corresponding first click rate based on a plurality of logistic regression features of each piece of information in a first information set, and selecting a plurality of pieces of information sorted inthe top from a descending sorting result of the first click rate to form a second information set; compressing the plurality of logistic regression features of each piece of information in the secondinformation set to obtain a plurality of shared features corresponding to each piece of information; determining a corresponding second click rate based on a plurality of shared features of each piece of information in the second information set; and executing recommendation operation based on a descending sort result of the second click rate of each piece of information in the second informationset. 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, in particular to an information recommendation method, device, electronic equipment and computer-readable storage medium based on artificial intelligence. Background technique [0002] Cloud technology refers to a hosting technology that unifies a series of resources such as hardware, software, and network in a wide area network or a local area network to realize data calculation, storage, processing, and sharing. [0003] Artificial Intelligence (AI) is a theory, method, technology and application system that uses 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. [0004] Information recommendation is an important application of artificial intelligence. The ranking module in the recommendation system is usually based on the machine l...

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 d...

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