Network system to determine accelerators for selection of a service

• US 10,417,727 B2
• Filed: 12/30/2016
• Issued: 09/17/2019
• Est. Priority Date: 09/26/2016
• Status: Active Grant

• Current Assignee: Uber Technologies, Inc.
• Original Assignee: Uber Technologies, Inc.
• Inventors: Yamashita, Yuhki, Hilhorst, Didier Patrick, Jow, Bryant, Ng, Peter
• Primary Examiner(s): Singh, Rupangini
• Application Number:
  US15/395,341
• Publication Number:
  US 20180089784A1
• Time in Patent Office: 991 Days
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/0485 Scrolling or panning
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

A network computer system can control the display of user interface features on remote computing devices. The network computer system can manage a requester profile for each of the plurality of requesters. A requester profile can be associated with historical data corresponding to previous services received or requested by the respective requester. Based on data associated with the requester profile, the network computer system can generate accelerator features to be displayed on a user interface of the computing device of the requester, where each of the accelerator features is selectable to cause the computing device of the requester to determine, without subsequent manual intervention, a service location where a service is to be completed for the requester.

Claims

1. A network computer system for controlling user interface features on remote computing devices, comprising:

one or more databases storing a requester profile for each requester of a plurality of requesters of a transport service, the requester profile comprising historical data corresponding to previous transport requests for the transport service by the requester;

one or more processors; and

one or more memory resources storing instructions that, when executed by the one or more processors, cause the one or more processors to;

communicate, over one or more networks, with computing devices of the plurality of requesters of the transport service;

for each requester;

(A) analyze the historical data of each respective requester of the plurality of requesters to determine one or more usage patterns with regard to the previous transport requests of the respective requester, each usage pattern of the one or more usage patterns indicating correlations between each of a pick-up location, a corresponding destination location, one or more times of day, and one or more days of the week;

(B) monitor, over the one or more networks, contextual information associated with a computing device of the respective requester, the contextual information including at least a current time and a dynamic current location of the computing device of the respective requester;

(C) based on a specified usage pattern of the one or more usage patterns, determine whether a correlation between the contextual information and the corresponding destination location of the specified usage pattern meets a threshold confidence level;

(D) in response to determining that the correlation between the contextual information and the corresponding destination location of the specified usage pattern meets the threshold confidence level, generate a destination accelerator feature for display on a service application running on the computing device of the respective requester, the destination accelerator feature comprising (i) a time window setting a start time and an end time for displaying the destination accelerator feature on a user interface of the service application, the time window being based at least on the one or more times of the day of the specified usage pattern, and (ii) a set of expiration conditions for terminating display of the destination accelerator feature, the set of expiration conditions including a geofence associated with the pick-up location of the specified usage pattern;

(E) based on a user selection of the destination accelerator feature, receive a transport request, over the one or more networks, from the computing device of the respective requester, the transport request specifying the corresponding destination location of the specified usage pattern that meets the threshold confidence level based on the contextual information; and

(F) in response to receiving the transport request, implement a selection process to select a vehicle to rendezvous with the respective requester at the pick-up location of the specified usage pattern and transport the respective requestor to the corresponding destination location of the specified usage pattern.

2. The network computer system of claim 1, wherein the destination accelerator feature is associated with a specific service type of a plurality of service types offered by the transport service, and wherein the executed instructions cause the one or more processors to implement the selection process for the specific service type.

3. The network computer system of claim 2, wherein the plurality of service types comprises a ride-pooling service or a default ride-sharing service.

4. The network computer system of claim 3, wherein the plurality of service types further comprises at least one of a luxury vehicle service, a large vehicle service, a professional driver service, or a self-driving vehicle service.

5. The network computer system of claim 1, wherein the pick-up location of the specified usage pattern is either a home location or a work location.

6. The network computer system of claim 1, wherein the destination accelerator feature is generated for display on a home screen of the user interface.

7. The network computer system of claim 1, wherein the executed instructions cause the one or more processors to implement the selection process by:

identifying, via location-based resources of provider devices of transport providers operating throughout a given region, a number of available transport providers within a proximity of the dynamic current location of the respective requester; and

wherein the executed instructions cause the one or more processors to select a transport provider, corresponding to the vehicle, from the available transport providers to service the transport request.

8. The network computer system of claim 7, wherein the executed instructions further cause the one or more processors to:

transmit a service invitation to the selected transport provider to enable the selected transport provider to accept or reject the transport request.

9. The network computer system of claim 1, wherein the executed instructions further cause the one or more processors to:

synchronize with a calendar application on the computing device of the respective requester, the calendar application indicating an appointment for the respective requester at an appointment location and at an appointment time and date; and

based on data associated with the appointment, generate a specified destination accelerator feature for display on the user interface of the service application, the specified destination accelerator feature being associated with the appointment location and the appointment time and date.

10. The network computer system of claim 9, wherein the executed instructions further cause the one or more processors to:

within a predetermined amount of time prior to the appointment, cause the specified destination accelerator feature to be displayed on the user interface.

11. The network computer system of claim 10, wherein the executed instructions further cause the one or more processors to:

detect a user selection of the specified destination accelerator feature; and

based on the user selection, transmit a service invitation to a transport provider to transport the respective requester from the dynamic current location of the respective requester to the appointment location.

12. The network computer system of claim 9, wherein the calendar application comprises a travel application, and wherein the appointment comprises a departing trip time of a scheduled trip in the travel application.

13. The network computer system of claim 1, wherein a single input on the destination accelerator feature triggers the one or more processors to implement the selection process.

16. The network computer system of claim 1, wherein, the executed instructions further cause the one or more processors to:

(G) while the destination accelerator feature is displayed on the user interface, monitor, over the one or more networks, the contextual information associated with the computing device of the respective requester to determine whether the dynamic current location of the computing device of the respective requester is outside of the geofence associated with the pick-up location of the specified usage pattern; and

(H) in response to determining the dynamic current location of the computing device of the respective requester is outside of the geofence associated with the pick-up location of the specified usage pattern, cause the destination accelerator feature to be removed from display on the user interface.

14. A non-transitory computer readable medium storing instructions that, when executed by one or more processors of a network computer system, cause the one or more processors to:

store a requester profile for each requester of a plurality of requesters of a transport service, the requester profile comprising historical data corresponding to previous transport requests for the transport service by the requester;

communicate, over one or more networks, with computing devices of the plurality of requesters of the transport service;

for each requester;

(A) analyze the historical data of each respective requester to determine one or more usage patterns with regard to the previous transport requests of the respective requester, each usage pattern of the one or more usage patterns indicating correlations between each of a pick-up location, a corresponding destination location, one or more times of day, and one or more days of the week;

(B) monitor, over the one or more networks, contextual information associated with the computing device of the respective requester, the contextual information including at least a current time and a dynamic current location of the computing device of the respective requester;

(C) based on a specified usage pattern of the one or more usage patterns, determine whether a correlation between the contextual information and the corresponding destination location of the specified usage pattern meets a threshold confidence level;

(D) in response to determining that the correlation between the contextual information and the corresponding destination location of the specified usage pattern meets the threshold confidence level, generate a destination accelerator feature for display on a service application running on the computing device of the respective requester, the destination accelerator feature comprising (i) a time window setting a start time and an end time for displaying the destination accelerator feature on a user interface of the service application, the time window being based at least on the one or more times of the day of the specified usage pattern, and (ii) a set of expiration conditions for terminating display of the destination accelerator feature, the set of expiration conditions including a geofence associated with the pick-up location of the specified usage pattern;

(E) based on a user selection of the destination accelerator feature, receive a transport request, over the one or more networks, from the computing device of the respective requester, the transport request specifying the corresponding destination location of the specified usage pattern that meets the threshold confidence level based on the contextual information; and

(F) in response to receiving the transport request, implement a selection process to select a vehicle to rendezvous with the respective requester at the pick-up location of the specified usage pattern and transport the respective requestor to the corresponding destination location of the specified usage pattern.

17. The non-transitory computer readable medium of claim 14, wherein, the executed instructions further cause the one or more processors to:

(J) while the destination accelerator feature is displayed on the user interface, monitor, over the one or more networks, the contextual information associated with the computing device of the respective requester to determine whether the dynamic current location of the computing device of the respective requester is outside of the geofence associated with the pick-up location of the specified usage pattern; and

(K) in response to determining the dynamic current location of the computing device of the respective requester is outside of the geofence associated with the pick-up location of the specified usage pattern, cause the destination accelerator feature to be removed from display on the user interface.

15. A computer-implemented method of servicing ride requests, the method being performed by one or more processors of a network computer system and comprising:

storing a requester profile for each requester of a plurality of requesters of a transport service, the requester profile comprising historical data corresponding to previous transport requests for the transport service by the requester;

communicate, over one or more networks, with computing devices of a plurality of requesters of a transport service;

for each of requester;

(A) analyze the historical data of each respective requester of the plurality of requesters to determine one or more usage patterns with regard to the previous transport requests of the respective requester, each usage pattern of the one or more usage patterns indicating correlations between each of a pick-up location, a corresponding destination location, one or more times of day, and one or more days of the week;

(B) monitoring, over the one or more networks, contextual information associated with a computing device of the respective requester, the contextual information including at least a current time and a dynamic current location of the computing device of the respective requester;

(C) based on a specified usage pattern of the one or more usage patterns, determine whether a correlation between the contextual information and the corresponding destination location of the specified usage pattern meets a threshold confidence level;

(D) in response to determining that the correlation between the contextual information and the corresponding destination location of the specified usage pattern meets the threshold confidence level, generate a destination accelerator feature for display on a service application running on the computing device of the respective requester, the destination accelerator feature comprising (i) a time window setting a start time and an end time for displaying the destination accelerator feature on a user interface of the service application, the time window being based at least on the one or more times of the day of the specified usage pattern, and (ii) a set of expiration conditions for terminating display of the destination accelerator feature, the set of expiration conditions including a geofence associated with the pick-up location of the specified usage pattern;

(E) based on a user selection of the destination accelerator feature, receive a transport request, over the one or more networks, from the computing device of the respective requester, the transport request specifying the corresponding destination location of the specified usage pattern that meets the threshold confidence level based on the contextual information; and

(F) in response to receiving the transport request, implementing a selection process to select a vehicle to rendezvous with the respective requester at the pick-up location of the specified usage pattern and transport the respective requestor to the corresponding destination location of the specified usage pattern.