Abstract: A computing system can receive a pick-up request including a carpool service preference from a requesting user. The system can access user data of the requesting user and a plurality of potential carpool riders, and determine one or more common links between the requesting user and each of one or more carpool riders of the plurality of potential carpool riders. The system may then select the one or more carpool riders to ride with the requesting user in the carpool vehicle, and transmit a notification to the requesting user to indicate the one or more common links between the requesting user and each of the one or more carpool riders.

Abstract: A computing system can receive a pick-up request including a carpool service preference from a requesting user. The system can access user data of the requesting user and a plurality of potential carpool riders, and determine one or more common links between the requesting user and each of one or more carpool riders of the plurality of potential carpool riders. The system may then select the one or more carpool riders to ride with the requesting user in the carpool vehicle, and transmit a notification to the requesting user to indicate the one or more common links between the requesting user and each of the one or more carpool riders.

Abstract: A transport arrangement and networking system can receive pick-up requests from user devices of requesting users. The pick-up requests can include a carpool service preference. The system can transmit an invitation to a driver device of a proximate carpool driver to service each received pick-up request and identify carpool riders riding with each requesting user. The system can further access social media data for the requesting user and the carpool riders. When the accessed social media data indicates a common link between the requesting user and the carpool rider(s) the system can generate and transmit a notification to the requesting user indicating the common link.

Abstract: A transport arrangement and networking system can receive pick-up requests from user devices of requesting users. The pick-up requests can include a carpool service preference. The system can transmit an invitation to a driver device of a proximate carpool driver to service each received pick-up request and identify carpool riders riding with each requesting user. The system can further access social media data for the requesting user and the carpool riders. When the accessed social media data indicates a common link between the requesting user and the carpool rider(s) the system can generate and transmit a notification to the requesting user indicating the common link.

Abstract: A computing device can execute a messaging application corresponding to a messaging service and display a user interface comprising a messaging thread between a user of the mobile computing device and at least a second user, the messaging thread including textual content corresponding to a location. The computing device can then receive a user selection of the textual content, and generate a selectable transport request feature on the display to overlay at least a portion of the messaging thread. In various implementations, the selectable transport request feature can enable the user to request transport from a transportation arrangement service.

Abstract: Techniques for assessing application quality and recommending applications to users are disclosed herein. A method according to the techniques monitors the users' activities of using the applications and records the usage information. The method further generates and randomly presents rating requests to users who are using the applications to solicit ratings of the applications. An application quality score for an application is calculated and updated based on the usage information and ratings for a group of users having common demographic or geographic attributes. The method automatically recommends an application to a user depending on the corresponding application quality score and a taste similarity score for the user calculated by a taste similarity algorithm based on the user's specific social network information.