Abstract: Some aspects of the present technology relate to performing fraud detection on online transaction platforms through user behavior sequence data. A multi-task convolutional neural network (MTCNN) model is used to predict, in real-time, whether user behavior sequence data is indicative of fraudulent activity. To perform fraud detection in such configurations, a one-layer convolutional neural network architecture with multi-range kernels is employed. The MTCNN model receives a sequence of page browsing signals corresponding to a buyer. Each page browsing signal corresponds to a position in the sequence. One or more portions of the page browsing signals are selected. Each of the one or more portions of the page browsing signals and the corresponding position are embedded in one or more sequence embeddings. A fraud risk for each of the one or more sequence embeddings is predicted utilizing the MTCNN model.

Abstract: Some aspects of the present technology relate to technologies for performing fraud detection on online transaction platforms through user behavior sequence data. In accordance with some configurations, a multi-task convolutional neural network (MTCNN) model is used to predict, in real-time, whether user behavior sequence data is indicative of fraudulent activity. To perform fraud detection in such configurations, a one-layer convolutional neural network architecture with multi-range kernels is employed. The MTCNN model receives a sequence of page browsing signals corresponding to a buyer. Each page browsing signal corresponds to a position in the sequence. One or more portions of the page browsing signals are selected. Each of the one or more portions of the page browsing signals and the corresponding position are embedded in one or more sequence embeddings. A fraud risk for each of the one or more sequence embeddings is predicted utilizing the MTCNN model.

Abstract: An information processing apparatus includes a receiving unit configured to receive, from a terminal of a delivery requester of a battery, a delivery request for a battery for which a delivery location of the battery is designated, a selecting unit configured to select at least one storage location of a battery, and a specifying unit configured to specify a deliverer who delivers the battery from a storage location. The specifying unit is configured to transmit a delivery inquiry including information of the delivery location and the storage location to a terminal of a delivery candidate, and specify the delivery candidate as the deliverer. When the selecting unit selects a plurality of storage locations for one delivery, the delivery inquiry includes information of each storage location.

Abstract: An information processing apparatus includes a receiving unit configured to receive, from a terminal of a delivery requester of a battery, a delivery request for a battery for which a delivery location of the battery is designated, a selecting unit configured to select at least one storage location of a battery, and a specifying unit configured to specify a deliverer who delivers the battery from a storage location. The specifying unit is configured to transmit a delivery inquiry including information of the delivery location and the storage location to a terminal of a delivery candidate, and specify the delivery candidate as the deliverer. When the selecting unit selects a plurality of storage locations for one delivery, the delivery inquiry includes information of each storage location.