Abstract: Provided are a knowledge content distribution method, an electronic device, and a storage medium. The method includes the following. An acquisition request sent by a distribution waiting user for target knowledge content is received, where the acquisition request carries at least an identifier of the target knowledge content. In response to the acquisition request, the target knowledge content is acquired according to the priority of each author of the target knowledge content in terms of the target knowledge content. The target knowledge content is distributed to the distribution waiting user.

Abstract: A method of recommending content, an electronic device, and a computer-readable storage medium, relate to a field of artificial intelligence, especially a field of intelligent recommendation. The method includes: determining a target content from candidate contents based on a query of a user, the candidate contents being determined based on a content-related user attention; determining an estimated user cost for acquiring the target content, based on a historical click-through rate for the target content, a historical conversion rate for the target content, and a historical user cost for acquiring the target content; determining one or more recommendation scores for the target content based on the estimated user cost; and recommending a content to the user based on the one or more recommendation scores.