Recommendation method and device based on artificial intelligence, and electronic equipment

Abstract

The invention provides a recommendation method and device based on artificial intelligence, electronic equipment and a computer readable storage medium. The method comprises the following steps of acquiring exposure times and effective behavior times of each piece of information in an information set; determining expected behavior characteristics of the corresponding information based on the exposure times and the effective behavior times, and determining uncertainty characteristics of the expected behavior characteristics based on the exposure times; based on the expected behavior characteristics and the uncertainty characteristics of each piece of information, establishing a first inverted index table comprising comprehensive expected behavior indexes of the information; and sampling theinformation in the first inverted index table based on the comprehensive expected behavior index of the information in the first inverted index table, and executing recommendation operation based ona sampling processing result. According to the method, recommendation accuracy can be improved.

Description

technical field [0001] The present application relates to artificial intelligence technology, and in particular to an artificial intelligence-based recommendation method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] 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. [0003] Information recommendation is an important application of artificial intelligence. The recall stage in the recommendation system is the basis of the entire recommendation system. In related technologies, various efforts have been made to recall valid information in the recall stage as the sorting object of the recommendation system, such as taking interest-based recall. However, in the process of implementing t...

AI Technical Summary

Problems solved by technology

[0003] Information recommendation is an important application of artificial intelligence. The recall stage in the recommendation system is the basis of the entire recommendation system. In related technologies, various efforts have been made to recall valid information in the recall stage as the sorting object of the recommendation system, such as taking interest-based recall. However, in the process of implementing the embodiment of this application, the applicant found that it is difficult to effectively describe the positive impact of cold start information on user behavior and the diverse interests of users by directly recalling information matching user portraits from the inverted index, which in turn affects Accuracy of information recommendation

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