Score prediction method, recommendation method, processing device and storage medium

Abstract

The embodiment of the invention relates to the technical field of data processing, and discloses a score prediction method. The method comprises the steps that: scores of a plurality of users for a plurality of items are obtained, wherein the scores of the plurality of users for the plurality of items comprise the score of a target user for at least one non-target item, and the score of at least one non-target user for a target item; a distance matrix is generated according to the scores of the plurality of users for the plurality of items, wherein the distance matrix comprises distances between the plurality of users and the plurality of items calculated according to the scores of the plurality of users for the plurality of items; and the distance matrix is input into a pre-trained deep neural network, so that a predicted score matrix can be obtained, wherein the predicted score matrix at least comprises a predicted score of the target user for the target item. According to the scoreprediction method, the recommendation method, the processing device and the storage medium, the accuracy of model prediction scores can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a score prediction method, recommendation method, processing device and storage medium. Background technique [0002] With the continuous development of information technology, various services and products that people need for work and life can basically be satisfied on the Internet. With the continuous evolution of this trend, the types of services and products provided by the Internet are also increasing, bringing more choices to people, and at the same time urging the emergence of information overload. In the age of information overload, Internet users can find it difficult to choose from a wide variety of products and services. In this case, the recommendation system came into being and has been continuously developed and improved with people's needs. Score prediction can not only recommend items that users may be interested in, but al...

AI Technical Summary

Problems solved by technology

[0003] However, the inventors have found that at least the following problems exist in the prior art: the accuracy of the prediction score obtained by the existing model prediction scoring method is low in the case of sparse historical data

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