Abstract: A recommendation system associated with an online marketplace can generate recommendations pertaining to users and assets of the online marketplace by computing user-asset propensity scores. The recommendation system can compute a corresponding user-asset propensity score for each unique user-asset combination. Based on the scores, recommendations indicating predicted user behavior can be generated. To generate the user-asset propensity scores, the recommendation system can generate machine-learned models based on training data. The model can comprise a plurality of classifiers each being associated with user-asset attributes.

Abstract: A vehicle safety and control system provides early warning and includes a network including a plurality of remotely located modules disposed along a vehicle pathway. Each module is communicably connected to at least one of the other modules. The modules include a measurement system including at least one sensor for obtaining sensor data. The sensor data provides position and velocity data for objects proximate thereto. The modules also include an illuminated display having a plurality of observable distinct states, the observable states including states relating to the sensor data.

Abstract: A vehicle safety and control system provides early warning and includes a network including a plurality of remotely located modules disposed along a vehicle pathway. Each module is communicably connected to at least one of the other modules. The modules include a measurement system including at least one sensor for obtaining sensor data. The sensor data provides position and velocity data for objects proximate thereto. The modules also include an illuminated display having a plurality of observable distinct states, the observable states including states relating to the sensor data.