Target position information processing method and device based on machine learning

Abstract

The invention discloses a target position information processing method and device based on machine learning, relates to the technical field of artificial intelligence, and mainly aims to train a recommendation model through a machine learning technology, process target position information and generate a corresponding recommendation list, so as to improve the processing efficiency of the target position information and save manpower and material resources. The method comprises the steps: acquiring a target position reservation request sent by a user side, wherein the target position reservation request carries a demand identifier and positioning information; searching a first target position and a second target position in a target position database according to the demand identifier, andgenerating relative path information; processing the relative path information by using a pre-trained recommendation model to obtain a recommendation list of the second target position; and responding to the target position reservation request by utilizing the recommendation list. The method and device are suitable for target position information processing based on machine learning.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method and device for processing target position information based on machine learning. Background technique [0002] With the rapid development of enterprises, a large number of meetings are required for the handling of various affairs and the promotion of multiple tasks, which makes the meeting room an important resource. However, in a real working environment, due to the limitation of office space, meeting room resources are always very limited, and users' demands for meeting room resources often have conflicts, that is, multiple meetings need to be held at the same time, or due to some sudden There is a temporary demand for it, which has caused a shortage of meeting room resources. When booking a meeting room, users often face problems such as low booking success rate, low efficiency, and poor experience. [0003] At present, the idle meeting room i...

AI Technical Summary

Problems solved by technology

However, in this way, in some large companies, due to the large number of conference rooms and frequent use, manual screening and recommendation of conference room information requires a high number of personnel, and the efficiency of manual screening of conference room information is relatively high. slow, resulting in a reduction in the efficiency of information processing in conference rooms, and wasting a lot of human and material resources

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