Abstract: A network computer system can implement a hierarchical selection process to fulfill a scheduled transport request. The hierarchical selection process can include a first selection process and a second selection process. The first selection process can include assigning a first transport provider to fulfill the scheduled transport request. The second selection process can be implemented at a specified time prior to the scheduled time and can include selecting a backup transport provider to service the scheduled transport request.

Abstract: A network computer system can implement a hierarchical selection process to fulfill the scheduled transport request. The hierarchical selection process can include a first selection process and a second selection process. The first selection process can include assigning a transport provider to fulfill the scheduled transport request. Additionally, the first selection process can include disassociating the transport provider with the scheduled transport request upon determining that the transport provider is unable to fulfill the scheduled transport request at the scheduled time. The second selection process can be implemented at a specified time prior to the scheduled time and can include selecting a backup transport provider.

Abstract: In some locations, such as airports, drivers that provide passenger transport must wait a significant distance away from the pickup location. To reduce the delay between a passenger requesting a ride and being picked up, drivers are pre-dispatched before being assigned to specific passengers. The demand for a future time period is predicted and the number of drivers that should be pre-dispatched to meet that demand is estimated. The estimated number of drivers is sent pre-dispatch instruction indicating they should leave the waiting area and head towards the pickup location.

Abstract: In some locations, such as airports, drivers that provide passenger transport must wait a significant distance away from the pickup location. To reduce the delay between a passenger requesting a ride and being picked up, drivers are pre-dispatched before being assigned to specific passengers. The demand for a future time period is predicted and the number of drivers that should be pre-dispatched to meet that demand is estimated. The estimated number of drivers is sent pre-dispatch instruction indicating they should leave the waiting area and head towards the pickup location.

Abstract: A network computer system can implement a hierarchical selection process to fulfill the scheduled transport request. The hierarchical selection process can include a first selection process and a second selection process. The first selection process can include assigning a transport provider to fulfill the scheduled transport request. Additionally, the first selection process can include disassociating the transport provider with the scheduled transport request upon determining that the transport provider is unable to fulfill the scheduled transport request at the scheduled time. The second selection process can be implemented at a specified time prior to the scheduled time and can include selecting a backup transport provider.

Abstract: In some locations, such as airports, drivers that provide passenger transport must wait a significant distance away from the pickup location. To reduce the delay between a passenger requesting a ride and being picked up, drivers are pre-dispatched before being assigned to specific passengers. The demand for a future time period is predicted and the number of drivers that should be pre-dispatched to meet that demand is estimated. The estimated number of drivers is sent pre-dispatch instruction indicating they should leave the waiting area and head towards the pickup location.

Abstract: A network system can communicate with a user device and receive a set of request data for a scheduled request at a scheduled date and a scheduled time. The set of request data indicates a start location and a destination location for the scheduled request. The network system can record the scheduled request in a scheduling log, and implement a hierarchical selection process to fulfill the scheduled request.

Abstract: In some locations, such as airports, drivers that provide passenger transport must wait a significant distance away from the pickup location. To reduce the delay between a passenger requesting a ride and being picked up, drivers are pre-dispatched before being assigned to specific passengers. The demand for a future time period is predicted and the number of drivers that should be pre-dispatched to meet that demand is estimated. The estimated number of drivers is sent pre-dispatch instruction indicating they should leave the waiting area and head towards the pickup location.

Abstract: A computer system provides an automated tool that processes audio data and data about computer operating context to automatically capture information, such as information from conversations and meetings. The computer operating context can include, for example, environmental data sensed, or other contextual information maintained or tracked, by the computer. The audio data and computer operating context are processed by the computer to detect starting conditions for data extraction. After detecting a starting condition, the processor initiates speech processing on the audio information to generate corresponding text data. The processor processes the text data using text filters that define salient patterns in the text data. Such salient patterns can correspond to, for example, tasks to be performed, follow-up appointments and other events, messages to be sent, important points or notes, and the like.

Abstract: A network system can communicate with a user device and receive a set of request data for a scheduled request at a scheduled date and a scheduled time. The set of request data indicates a start location and a destination location for the scheduled request. The network system can record the scheduled request in a scheduling log, and implement a hierarchical selection process to fulfill the scheduled request.

Abstract: A computer system provides an automated tool that processes audio data and data about computer operating context to automatically capture information, such as information from conversations and meetings. The computer operating context can include, for example, environmental data sensed, or other contextual information maintained or tracked, by the computer. The audio data and computer operating context are processed by the computer to detect starting conditions for data extraction. After detecting a starting condition, the processor initiates speech processing on the audio information to generate corresponding text data. The processor processes the text data using text filters that define salient patterns in the text data. Such salient patterns can correspond to, for example, tasks to be performed, follow-up appointments and other events, messages to be sent, important points or notes, and the like.

Abstract: A computer system provides an automated tool that processes audio data and data about computer operating context to automatically capture information, such as information from conversations and meetings. The computer operating context can include, for example, environmental data sensed, or other contextual information maintained or tracked, by the computer. The audio data and computer operating context are processed by the computer to detect starting conditions for data extraction. After detecting a starting condition, the processor initiates speech processing on the audio information to generate corresponding text data. The processor processes the text data using text filters that define salient patterns in the text data. Such salient patterns can correspond to, for example, tasks to be performed, follow-up appointments and other events, messages to be sent, important points or notes, and the like.

Abstract: A computer system provides an automated tool that processes audio data and data about computer operating context to automatically capture information, such as information from conversations and meetings. The computer operating context can include, for example, environmental data sensed, or other contextual information maintained or tracked, by the computer. The audio data and computer operating context are processed by the computer to detect starting conditions for data extraction. After detecting a starting condition, the processor initiates speech processing on the audio information to generate corresponding text data. The processor processes the text data using text filters that define salient patterns in the text data. Such salient patterns can correspond to, for example, tasks to be performed, follow-up appointments and other events, messages to be sent, important points or notes, and the like.