Smart television user classification method, computer equipment and storage medium

Abstract

The invention discloses a smart television user classification method based on a big data platform, and the method comprises the steps: determining a value of a user on a certain index as a coordinatevalue of the user in an n-dimensional space, enabling a plurality of to-be-clustered users to be distributed in an n-dimensional space region according to the coordinate value, and setting an initialclustering center; judging whether a certain user to be clustered belongs to a certain class or not according to the probability transfer function, and meanwhile, continuously correcting the clustering center; calculating the class spacing between the classes, combining the two classes of which the class spacing is smaller than a spacing threshold value until the class spacing between all the classes is not smaller than the spacing threshold value, and re-determining a new clustering center of the combined classes; and completing user classification to obtain customer groups with different preference characteristics. According to the method, big data is combined with the ant colony algorithm, so that the data processing magnitude and the algorithm accuracy are improved, and the problems of easiness in falling into a local minimum value and noise sensitivity are solved.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method for classifying smart TV users based on a big data platform, computer equipment and storage media. Background technique [0002] Many enterprises hope to improve their current customer management and service status by introducing customer relationship management systems. The premise of effective user management is to carry out user classification management, so user management must be based on user information. Classification management. User classification is the validity identification and differentiation based on the user's attribute characteristics. Divide users into more concrete groups, regardless of any marketing purpose, in terms of operational means, the more targeted a specific group, the greater the probability of achieving the goal. [0003] The purpose of user classification is not only to realize the unified and effective identification of users within t...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to overcome the deficiencies in the above-mentioned background technology, provide a smart TV user classification method based on a big data platform, computer equipment and storage media, adopt the combination of big data and ant colony algorithm, improve the data processing magnitude and algorithm accuracy , to solve the problem of easy to fall into local minimum and noise sensitivity

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