The application discloses a method and device for determining a recommended item, a storage medium and an electronic device. The method comprises: obtaining historical behavior data of a target object in a first period, classifying the historical behavior data, and dividing the historical behavior data into explicit data or implicit data; obtaining a first
score corresponding to the explicit data and a second
score corresponding to the implicit data; determining a first
weight value corresponding to the explicit data and a second
weight value corresponding to the implicit data; and determining whether to recommend a predetermined type of item to the target object in a second period based on the first
score, the second score, the first
weight value and the second weight value, wherein the end time of the first period is earlier than the
start time of the second period. The application solves the technical problems of inaccurate recommendation results, waste of recommendation resources and poor user experience caused by the related art of recommending items to users based on the explicit behaviors of users, such as scoring and evaluating items.