Product recommendation method and device

The invention provides a product recommendation method and device, and is applied in the field of artificial intelligence. The method comprises the following steps: receiving income and expenditure data and feature data of a target user; obtaining a net income threshold value interval, a deposit age limit threshold value interval, and an initial adaptive score corresponding to each of a plurality of to-be-recommended products; according to a preset first fixed parameter value, the income and expenditure data, the net income threshold interval and the initial adaptive score corresponding to each to-be-recommended product, determining an intermediate adaptive score of each to-be-recommended product; according to a preset deposit age limit prediction model, a preset income and expenditure stability evaluation model, the income and expenditure data, the feature data, a preset second fixed parameter value, and the intermediate adaptation score and the deposit age limit threshold value interval corresponding to eac