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

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 historical behavior information sequence of a user; according to the vector representation of each piece of information in the historical behavior information sequence, determining a behavior feature vector representing the behavior feature of the user; iteratively encoding the behavior feature vector for multiple times to obtain a user interest vector representing the interest of theuser; and determining a plurality of pieces of information satisfying similar conditions with the user interest vector to execute recommendation operation for the user. According to the invention, therecommendation accuracy and the click rate index of the recommendation information can be improved.

Description

Technical field [0001] The present invention relates to artificial intelligence technology, in particular to an artificial intelligence-based information recommendation method, device, electronic equipment and computer readable storage medium. Background technique [0002] Cloud computing is a computing model that distributes computing tasks on a resource pool composed of a large number of computers, enabling various application systems to obtain computing power, storage space, and information services as needed. The network that provides resources is called "cloud". In the eyes of users, the resources in the "cloud" are infinitely expandable, and can be obtained at any time, used on demand, expanded at any time, and paid for. [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 knowledg...

AI Technical Summary

Problems solved by technology

[0004] Information recommendation is an important application of artificial intelligence. The recall module of the recommendation system in related technologies is usually based on demographics, long-term interest tags of users, and information word vectors, and recalls information from the information database for subsequent sorting and re-ranking processing, and then Recommended to users, but there are problems with imprecise recommendations and lack of personalization

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