Re-clustering-based pushing method and apparatus, computer device and storage medium

Abstract

The invention discloses a re-clustering-based pushing method and apparatus, a computer device and a storage medium. This method includes the steps of obtaining clusters for classification by users through DBSCAN clustering on each row vector in a scoring matrix and a sub-user-scoring matrix corresponding to each cluster one by one, obtaining a row vector selected in the scoring matrix as a targetuser, obtaining a similar user group scoring matrix of a target user and a commodity recommendation line vector corresponding to the similar user group scoring matrix according to the sub-user--scoring matrix of the target user, obtaining a commodity recommendation list according to the commodity recommendation line vector, and pushing the commodity recommendation list to a receiving end corresponding to the target user. This method enables the user-scoring matrix to be divided into a plurality of sub-matrices to carry on the maintenance separately, reduces the maintenance cost, and can carryon the commodity information push to the target user accurately according to the sub-matrices horizontally.

Description

technical field [0001] The present invention relates to the technical field of information push, in particular to a push method, device, computer equipment and storage medium based on re-clustering. Background technique [0002] At present, online shopping in Internet-based online shopping malls has become more and more frequent. When these online shopping malls recommend products to users, they usually use a recommendation algorithm based on collaborative filtering (collaborative filtering algorithm, the principle is that users like those with similar Products that interested users have liked, for example, if your friend likes the movie Harry Potter I, then it will be recommended to you. This is the simplest user-based collaborative filtering algorithm). [0003] The recommendation algorithm based on collaborative filtering is often used in the user-score matrix. The user-score matrix represents the user's rating of the item (the item can be understood as a specific commodi...

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Problems solved by technology

[0004] The embodiment of the present invention provides a push method, device, computer equipment and storage medium based on re-clustering, aiming to solve the problem that the scoring system corresponding to the full amount of users-rating matrix of the online shopping mall in the prior art increases with the increase in the number of commodities. More and more bloated, resulting in the difficulty of maintaining the full user-score matrix

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