Method and device for analyzing correlation among objects based on deep learning

Abstract

The invention discloses a method and device for analyzing correlation among objects in a social medial network, which are widely applied to many important related fields. The method comprises the following steps of: 1, extracting low-level features of the objects; 2, performing high-level semantic learning on the extracted low-level features through a deep network to obtain high-level features of the objects; and 3, obtaining the correlation among the objects according to the high-level features of the objects. In the method, high-level abstract features are learnt out of content information of the objects at first, and then correlation modeling is performed on the basis of the high-level features. A concept of implicit features is introduced in the method, and under a framework of a generative model, the implicit features generate the content information (high-level features) of the objects and the implicit features of the objects interact to obtain correlation information among the objects the maximum probability. The method adopts a Monte Carlo approximate inference algorithm to deduce parameters and hidden variables of a model.

Description

technical field [0001] The present invention relates to the technical field of data analysis, in particular to a deep learning-based correlation analysis method and device between objects. Background technique [0002] In recent years, social media has flourished on the fertile soil of the Internet, bursting out with dazzling energy, and the information it disseminates has become an important content for people to browse the Internet. However, media objects in social media do not exist independently, but are interrelated and affect each other. In this context, the association analysis between objects in social media is particularly important. It can provide a technical basis for related applications in social media, such as user recommendation, social media image annotation, etc. [0003] At present, the association analysis of media objects in social media mainly focuses on the method based on collaboration and the method based on association graph topology. A classic me...

AI Technical Summary

Problems solved by technology

On the one hand, the existing methods are only aimed at the association analysis between homogeneous objects, and cannot deal with the association problem between heterogeneous objects.

On the other hand, neither the implicit factors in the matrix factorization nor the topological features of the association graph can accurately reflect the essential characteristics of the object

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