Systems and methods are described for receiving travel data associated with a user, generating a predictive model, receiving additional travel data associated with the user, and generating, based on applying the predictive model to the additional travel data, one or more recommendations.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: receiving travel data associated with a user; generating a predictive model; receiving additional travel data associated with the user; and generating, based on applying the predictive model to the additional travel data, one or more recommendations. 2. The method of claim 1, further comprising providing the one or more recommendations to the user. 3. The method of claim 1, wherein receiving the travel data associated with a user comprises receiving the travel data from one or more service providers. 4. The method of claim 3, wherein receiving the travel data from one or more service providers comprises receiving the travel data via an application programming interface or an electronic mail. 5. The method of claim 1, wherein generating a predictive model comprises training a neural network on the travel data. 6. The method of claim 1, wherein receiving the additional travel data associated with the user comprises receiving the additional travel data from one or more service providers. 7. The method of claim 6, wherein receiving the additional travel data from one or more service providers comprises receiving the additional travel information via an application programming interface or an electronic mail. 8. The method of claim 1, wherein receiving the additional travel data associated with the user comprises receiving the additional travel data in real-time. 9. The method of claim 5, further comprising receiving travel data associated with a user over a period of time to generate historical travel data. 10. The method of claim 9, comprising training the neural network on the historical travel data. 11. The method of claim 1, wherein generating, based on applying the predictive model to the additional travel data, one or more recommendations comprises: determining one or more predicted interactions; determining one or more service providers associated with the one or more predicted interactions; and providing an indication of the one or more service providers to the user as the one or more recommendations. 12. An apparatus comprising: one or more processors; and a memory comprising processor executable instructions that, when executed by the one or more processors, cause the apparatus to: receive travel data associated with a user; generate a predictive model; receive additional travel data associated with the user; and generate, based on applying the predictive model to the additional travel data, one or more recommendations. 13. The apparatus of claim 12, wherein the processor executable instructions that, when executed by the one or more processors, further cause the apparatus to provide the one or more recommendations to the user. 14. The apparatus of claim 12, wherein the processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the travel data associated with a user further comprise processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the travel data from one or more service providers. 15. The apparatus of claim 14, wherein the processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the travel data from one or more service providers further comprise processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the travel data via an application programming interface or an electronic mail. 16. The apparatus of claim 12, wherein the processor executable instructions that, when executed by the one or more processors, cause the apparatus to generate a predictive model further comprise processor executable instructions that, when executed by the one or more processors, cause the apparatus to train a neural network on the travel data. 17. The apparatus of claim 12, wherein the processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the additional travel data associated with the user further comprise processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the additional travel data from one or more service providers. 18. The apparatus of claim 17, wherein the processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the additional travel data from one or more service providers further comprise processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the additional travel information via an application programming interface or an electronic mail. 19. The apparatus of claim 12, wherein the processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the additional travel data associated with the user further comprise processor executable instructions that, when executed by the one or more processors, cause the apparatus to receive the additional travel data in real-time. 20. One or more non-transitory computer readable media storing processor executable instructions that, when executed by at least one processor cause the at least one processor to: receive travel data associated with a user; generate a predictive model; receive additional travel data associated with the user; and generate, based on applying the predictive model to the additional travel data, one or more recommendations.