Method and device for identifying user interest and computer readable storage medium

Abstract

The invention discloses a method for identifying user interest. The method includes acquiring training samples and test samples; extracting characteristics of the training samples and the test samples by the aid of first preset algorithms and computing the optimal model parameters of logic regression models according to the characteristics of the training samples by the aid of iterative algorithms; evaluating the logic regression models with the optimal model parameters according to the characteristics of the test samples and the areas under ROC (receiver operating characteristic) curves (AUC) and acquiring first theme classifiers by means of training; determining themes of text data by the aid of the first theme classifiers, computing scores of the themes of the text data according to the logic regression models with the optimal model parameters and computing confidence scores of the themes according to second preset algorithms. Training is carried out according to the text data to obtain corresponding topic models, and the topic models are manually annotated to obtain the training samples. Users are interested in the themes with the computed confidence scores. The invention further discloses a device for identifying the user interest and a computer readable storage medium. The method, the device and the computer readable storage medium have the advantages that the user interest can be identified, and accordingly enterprises can be assisted in accurately positioning potential clients.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a user interest identification method, device and computer-readable storage medium. Background technique [0002] In recent years, with the rapid development of the Internet, especially the sudden emergence of social media, people are increasingly aware of its various impacts on themselves and the information dissemination environment. In the past, people have always passively obtained information from the Internet, but now more and more people actively participate in the generation and dissemination of information on social media, resulting in massive user information and social relationship information. [0003] However, at present, the internal data of many enterprises is usually dominated by transaction records, and the customer information contained is not comprehensive enough to accurately locate potential customers and understand user needs. Therefore, how to identi...

AI Technical Summary

Problems solved by technology

[0003] However, at present, the internal data of many enterprises are usually dominated by transaction records, and the customer information contained is not comprehensive enough to accurately locate potential customers and understand user needs

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