Abstract: Provided are a real-time prediction method, an electronic device and a non-transitory computer-readable storage medium, which relate to the field of data processing, and in particular to the field of artificial intelligence. The specific implementation solution is acquiring a user request based on a business scenario; acquiring, from a plurality of pre-stored original features, at least one target original feature corresponding to the user identifier; determining, from a plurality of pre-trained models, a target model corresponding to the scenario identifier, and determining, from a plurality of feature engineering services, a target feature engineering service corresponding to the target model; performing real-time feature processing on the at least one target original feature by means of the target feature engineering service, so as to obtain a target model entry feature; and inputting the target model entry feature into the target model.

Abstract: Embodiments of the present disclosure provide a method, apparatus and electronic device for processing a user request, and a computer readable storage medium. A particular implementation of the method includes: receiving a user request; sending the user request to a target prediction model stored in a secure container, where the secure container is created in a local storage space by using Software Guard Extensions technology, and the target prediction model is obtained by training an initial prediction model with an encrypted feature sample and a labeled result sample corresponding to the encrypted feature sample, and the encrypted feature sample is transmitted by a feature data provider through a ciphertext transmission path established between the feature data provider and the secure container; and receiving a prediction result output by the target prediction model.