Travel-related prediction system
First Claim
1. A computer-readable storage device storing computer-executable instructions for controlling a computing system to generate a classifier for predicting travel item prices, the computer-executable instructions implementing a method comprising:
- providing travel information for travel items on various observation dates;
generating a feature vector for each travel item for each observation date based on the provided travel information;
assigning a label to each travel item for each observation date with enough subsequent observation dates to generate a label indicating what the price direction prediction should have been for the travel item on the observation date, the label for each travel item for each observation date being derived from the provided travel information for that travel from subsequent observation dates; and
training a classifier to make price predictions for travel items using the feature vectors and their labels as training data.
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Accused Products
Abstract
A method and system is provided for making price-related predictions of items based on training a classifier using historical information including pricing information for the items and labels relating to the price-related information that are generated automatically from the historical information. A prediction system provides price-related predictions for airline tickets. The prediction system collects flight information for flights on a daily basis. The prediction system generates training data to train a classifier to make the price-related predictions using the flight information. After training the classifier, the prediction system then can make the price-related predictions for a trip.
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Citations
18 Claims
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1. A computer-readable storage device storing computer-executable instructions for controlling a computing system to generate a classifier for predicting travel item prices, the computer-executable instructions implementing a method comprising:
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providing travel information for travel items on various observation dates; generating a feature vector for each travel item for each observation date based on the provided travel information; assigning a label to each travel item for each observation date with enough subsequent observation dates to generate a label indicating what the price direction prediction should have been for the travel item on the observation date, the label for each travel item for each observation date being derived from the provided travel information for that travel from subsequent observation dates; and training a classifier to make price predictions for travel items using the feature vectors and their labels as training data. - View Dependent Claims (2, 3, 4, 5)
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6. A computer-readable storage device storing computer-executable instructions for controlling a computing system to make price-related predictions for airline trips, the computer-executable instructions comprising:
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a component that provides flight information for airline flights for trips on various observation dates, a trip having one or more available flights; a component that generates trip information for a trip by aggregating the flight information for the airline flights associated with the trip, the trip information being represented as feature vectors; a component that assigns a label to each trip for each observation date with enough subsequent observation dates to generate a label indicating what the price-related prediction should have been for the trip on the observation date, the label for each trip for each observation date being derived from the provided flight information for that trip from subsequent observation dates; a component that trains a classifier to make price-related predictions for trips using the feature vectors and their labels as training data; and a component that generates a price-related prediction for a trip using a feature vector for the trip and the trained classifier. - View Dependent Claims (7, 8, 9, 10, 11)
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12. A computer-readable storage device storing computer-executable instructions for controlling a computing system to make price-related predictions for airline tickets for trips, by a method comprising:
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providing airline flight information for trips on various observation dates; generating trip information for a trip by aggregating the flight information for airline flights associated with the trip; and generating a price-related prediction for a trip based on a classifier trained to make price predictions for trips using labels and trip information as training data, the labels assigned to airline flights with enough subsequent observation dates to indicate what the price-related prediction should have been on that observation date, the label for each airline flight for each observation date being derived from the provided trip information for the trip. - View Dependent Claims (13, 14, 15, 16, 17, 18)
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Specification