Content recommendation method and device and storage medium

The invention provides a content recommendation method and device and a storage medium, and the method comprises the steps: determining a to-be-adjusted interval of a sorting score according to the sorting score of a platform article; determining a random particle number corresponding to the interval to be adjusted; for a target article of which the sorting score is located in the to-be-adjusted interval, adjusting the sorting score of the target article by using the random particle number; and sorting all the platform articles according to the adjusted sorting score, and performing content recommendation according to a sorting result. Therefore, sorting optimization of article content scenes is realized, so that the article content list is not too fixed when a user opens software or refreshes an article page every time, freshness can be brought to the user, and the click rate of the user on the page is improved. 本申请提供一种内容推荐方法、设备和存储介质，该方法包括，根据平台文章的排序分数，确定排序分数的待调整区间；确定与所述待调整区间对应的随机粒子数；针对排序分数位于所述待调整区间的目标文章，以所述随