Information recommendation method and device, electronic device and computer readable storage medium

Abstract

The embodiment of the invention provides an information recommendation method and device, an electronic device and a computer readable storage medium. The method comprises the steps of extracting thebehavior feature information of the current behavior information; obtaining the hidden layer feature information at the current moment according to the behavior feature information at the current moment, and caching the hidden layer feature information in a cache module; determining the to-be-recommended information at the next moment according to the behavior characteristic information at the current moment and the historical characteristic information stored in a storage module; and when the number of the hidden layer feature information cached in the cache module is equal to a preset value,based on the preset number of hidden layer feature information corresponding to each storage area and corresponding to the time sequence of the information stored in each storage area in sequence, updating the information in each storage area. According to the scheme, the hidden layer feature information is cached in the cache module, and the historical feature information in the storage module is updated once only when the number of the cached hidden layer feature information is equal to the preset value, so that the data processing efficiency can be improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular, the present invention relates to an information recommendation method, device, electronic equipment and computer-readable storage medium. Background technique [0002] In the existing information recommendation method, it is usually based on the current behavior information of the user at the current moment and the historical behavior information of a period of time before the current moment to predict the information recommended to the user at the next moment, and then update the information based on the current behavior information. The historical information before the current moment is based on the method in the prior art. Every time the behavior information of the user is obtained, the historical information before the corresponding moment will be updated based on the behavior information at each moment. The amount of information is limited, which may no...

AI Technical Summary

Problems solved by technology

[0002] In the existing information recommendation method, it is usually based on the current behavior information of the user at the current moment and the historical behavior information of a period of time before the current moment to predict the information recommended to the user at the next moment, and then update the information based on the current behavior information. The historical information before the current moment is based on the method in the prior art. Every time the behavior information of the user is obtained, the historical information before the corresponding moment will be updated based on the behavior information at each moment. The amount of information is limited, which may not accurately reflect changes in user interests. Therefore, if the corresponding historical information is updated every moment, the number of updates will be frequent and the efficiency of data processing will be reduced.

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