Deep learning recommendation method and system based on multi-platform fusion

Abstract

The invention discloses a deep learning recommendation method based on multi-platform fusion, and the method comprises the steps: multi-platform user relationship construction: collecting users and interaction relationships from a universal social platform and / or a specific field, thereby constructing social relationships between the users, the social relationships between the users being divided into first-level friends and second-level friends; constructing a matrix decomposition neural collaborative filtering model, and constructing the model by fusing MF and LSTM; the model is trained, and the obtained model is trained through a data set published by the Internet; and performing feedback correction on the trained model, and correcting the similarity between the element user and the recommended user according to the interaction of the element user on the recommended article. The invention further provides a system of the deep learning recommendation method based on multi-platform fusion. According to the method, the recommendation algorithm is improved, and the higher convergence speed and the better recommendation effect are achieved.

Description

technical field [0001] The present invention relates to the field of recommendation systems, in particular, to a deep learning recommendation method and system based on multi-platform fusion. Background technique [0002] With the rapid development of Internet technology and the explosive growth of information on the Internet, people enjoy the convenience brought by huge information resources. Users can search for specific keywords by specifying keywords to solve their needs for specific information. Earlier information retrieval was done through In this context, the emerging recommendation system is just right to solve this pain point problem, that is, based on the user's historical records, infer the user's interest needs, And recommend products that users may like in real time. Its generation can not only tap the potential interests of users and improve user experience, but also promote product promotion and increase the enthusiasm of physical manufacturing. [0003] The...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned technical problems, the present invention provides a deep learning recommendation method and system based on multi-platform fusion. This method effectively solves the problem of insufficient data for initial use of new users by fusing multi-platform information and combining deep learning algorithms. Accurate or Impossible to Make Recommendation Questions

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