Abstract: A communications server apparatus 102 comprising a microprocessor 116 and a memory 118, the communications server apparatus 102 being configured, under control of the microprocessor 116, to execute instructions 120 stored in the memory 118, to: determine an estimated time of arrival (ETA) for the delivery trip, determine a level of confidence for the ETA, determine a delivery time threshold based on a delivery distance for the delivery trip, determine a customer sensitivity factor based on historical transaction data for a user related to the delivery trip, and determine an ETA buffer time based on the level of confidence, the delivery time threshold and/or the customer sensitivity factor. Also, a method, a user device, an e-commerce server and system.

Abstract: Embodiments of the present disclosure provide a voice detection method. An audio signal can be divided into a plurality of audio segments. Audio characteristics can be extracted from each of the plurality of audio segments. The audio characteristics of the respective audio segment include a time domain characteristic and a frequency domain characteristic of the respective audio segment. At least one target voice segment can be detected from the plurality of audio segments according to the audio characteristics of the plurality of audio segments.

Abstract: A method, a device and a system for providing social objects. The user device generates the image information of the social object expected by the user according to the image editing operation of the user, and then sends the image information to the corresponding network device. The network device performs a match query in an object information database to obtain one or more social objects matching with the image information. Then, the network device sends at least one of the one or more social objects to the user device, and the at least one of the one or more social objects is presented to the user. Therefore, the user may quickly find the social objects matching with the image information of the social object expected by the user, improving the user experience.

Abstract: Embodiments of the present disclosure provide a voice detection method. An audio signal can be divided into a plurality of audio segments. Audio characteristics can be extracted from each of the plurality of audio segments. The audio characteristics of the respective audio segment include a time domain characteristic and a frequency domain characteristic of the respective audio segment. At least one target voice segment can be detected from the plurality of audio segments according to the audio characteristics of the plurality of audio segments.