Reminding task distribution method and device, computer equipment and storage medium

Abstract

The invention relates to artificial intelligence, and provides a reminding task distribution method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a reminding task distribution request, and obtaining attribute characteristics of a reminding task by a server according to the reminding task distribution request; obtaining an attribute featurevector of the reminding task according to the attribute feature of the reminding task, calculating a first similarity between the attribute feature vector of the reminding task and each cluster in the trained clustering model, and obtaining a target cluster corresponding to the reminding task according to the first similarity; calculating a second similarity between the reminding task and each reminding task in the target cluster, and determining a preset number of target reminding tasks according to the second similarity; obtaining a reminding identifier recommendation sequence correspondingto the target reminding task according to a preset integrating degree matrix, and selecting a preset number of target reminding identifiers from the reminding identifier recommendation sequence; andallocating the reminding task to a terminal corresponding to the target reminding identifier. By adopting the method, the reminding task distribution accuracy can be improved, and the solution efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to a reminding task assignment method, device, computer equipment and storage medium. Background technique [0002] Nowadays, more and more people take out loans to buy houses and cars. All of a sudden, various services provided by banks have become the "new darling" of the times. However, for banks, there are more and more cases of overdue business. After internal reminders of expected business tasks, banks generally hand over unresolved successful tasks to the reminding company for reminder processing, reminding the company that it will be further processed. Cases for reminders are entrusted to external companies for reminders. At present, when reminding companies to assign reminder tasks, they mainly rely on manual assignment of tasks, or simply assign according to the overall reminder success rate. The method of task assignment is not precise enough, which affect...

AI Technical Summary

Problems solved by technology

At present, when reminding companies to assign reminder tasks, they mainly rely on manual assignment of tasks, or simply assign according to the overall success rate of reminders. The method of task assignment is not accurate enough, which affects the efficiency of solving reminder tasks

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