Information recommendation method based on deep learning

Abstract

The invention discloses an information recommendation method based on deep learning. The method comprises the following steps: S1, inputting a data set into a recommendation system; and S2, in the recommendation system, performing data processing on the data set in a recall stage, a sorting stage and a feature processing stage of the deep learning model in sequence to obtain an information recommendation result. An improved probability matrix decomposition model is provided, personal interests, preferences and the like of consumers or commodities are integrated, and purposiveness and accuracy of RS recall can be improved; meanwhile, an FWHFM model based on the deep neural network is constructed, an FHWFM interaction layer generated by a feature domain pair embedding matrix and a feature embedding vector is spliced with an original feature vector layer, training is carried out through the deep neural network DNN, and the click rate estimation effect is obviously superior to that of other deep models; and based on the improvement of the two models in the recommendation system, the accuracy of information recommendation in the information recommendation process is improved.

Description

Technical field [0001] The present invention belongs to the technical field of information, and more particularly to an information recommendation method based on deep learning. Background technique [0002] A new era in information explosion, various network products are indisparable from the squares of our lives. Whether it is a clothing and food or a study, work and entertainment. Web services are not only given us, but also bring us a frying massive information. A large number of homogenization, no depth information is covered with a large number of hot messages, but many information is "cold" and cannot be used well. In particular, personalized modern society, people's diversity is not satisfied, individual differentiation is not reflected, so the filtering and recommended ways of various information have become the problem of today's industrial and academic competition research, all kinds Recommended tools come to the Internet. [0003] The basic definition of the recommend...

AI Technical Summary

Problems solved by technology

[0004] In view of the above-mentioned deficiencies in the prior art, the information recommendation method based on deep learning provided by the present invention solves the problems of data sparsity and cold start in the existing recommendation system

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