Government affair hotline work order distribution method and system in field of housing construction

Abstract

The invention provides a government affair hotline work order distribution method in the field of housing construction, and the method comprises the steps: constructing a residential building field professional lexicon, carrying out word segmentation on work order contents, and constructing a document entry matrix; inputting the entry matrix into a pre-trained machine learning model, predicting responsibility units of the work order, selecting a preset number of possible responsibility units by adopting an association analysis method, and jointly forming a recommendation set of the responsibility units; and preferentially displaying the responsibility units in the recommendation set in a selection list. By automatically recommending limited possible responsibility units, a worker only needs to select from the possible responsibility units, so that the selection time of the worker is greatly saved, the working efficiency of the worker is improved, and the work order dispatching time issaved.

Description

Technical field [0001] The present disclosure belongs to the technical field of work orders, and specific to a government hotline work order method and system in the field of residential construction. Background technique [0002] The statement of this section is merely the background technology information related to the present disclosure, which is not necessarily constituted in prior art. [0003] The inventors have found that the current housing construction department needs to undertake a large number of 12345 public demands. These citizens have correspondingly responded to a large number of government hotline work orders. During specific work orders, staff face two difficulties: First, the task is large, The staff needs to handle a large number of work orders every day; during the processing, the staff needs to determine the only responsible unit to which the work order is located, that is, in the system "drop-down selection box" to find the issued responsible unit, and the...

AI Technical Summary

Problems solved by technology

[0003] The inventor found that the current housing and construction department needs to undertake a large number of 12345 citizen appeals. These citizen appeals correspond to a large number of government affairs hotline work orders. During the specific work order processing process, the staff faces two difficulties: first, the large amount of tasks, The staff needs to process a large number of work orders every da

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