Method and system for routing path selection
Methods and systems for selecting fare paths. A machine learning model is trained on historical fare path data. An output of the machine learning model provides a fare path selection prediction for each fare path. In response to a request from a client device, flight paths fulfilling the request are...
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creator | Barrier, Anthony Alexis Ghislain Belgani, Chakib Viollet, Erwan Le Toquin, Youri Thibault Marie Nanty, Simon |
description | Methods and systems for selecting fare paths. A machine learning model is trained on historical fare path data. An output of the machine learning model provides a fare path selection prediction for each fare path. In response to a request from a client device, flight paths fulfilling the request are determined, fare paths are determined by combining the set of flight paths with pricing units, the machine learning model is applied on the fare paths to determine a subset of fare paths for which the selection prediction is higher than a threshold, details of the subset of fare paths are queried, valid fare paths are determined, and details of a subset of the valid fare paths are returned to the client device. The details of the subset of the valid fare paths may be displayed on the client device for final selection of a fare path. |
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A machine learning model is trained on historical fare path data. An output of the machine learning model provides a fare path selection prediction for each fare path. In response to a request from a client device, flight paths fulfilling the request are determined, fare paths are determined by combining the set of flight paths with pricing units, the machine learning model is applied on the fare paths to determine a subset of fare paths for which the selection prediction is higher than a threshold, details of the subset of fare paths are queried, valid fare paths are determined, and details of a subset of the valid fare paths are returned to the client device. 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A machine learning model is trained on historical fare path data. An output of the machine learning model provides a fare path selection prediction for each fare path. In response to a request from a client device, flight paths fulfilling the request are determined, fare paths are determined by combining the set of flight paths with pricing units, the machine learning model is applied on the fare paths to determine a subset of fare paths for which the selection prediction is higher than a threshold, details of the subset of fare paths are queried, valid fare paths are determined, and details of a subset of the valid fare paths are returned to the client device. The details of the subset of the valid fare paths may be displayed on the client device for final selection of a fare path.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Method and system for routing path selection |
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