Content recommendation method and device, electronic equipment and medium

The invention provides a content recommendation method and device, electronic equipment and a medium, and relates to the field of recommendation, in particular to the field of content recommendation. The method can comprise the steps of obtaining a first feature vector corresponding to a first user, wherein the first feature vector is based on at least one associated query word and at least one associated content item associated with the first user; obtaining at least one second user associated with the first feature vector; and obtaining at least one recommended content item recommended to the first user based on the behavior history of the at least one second user. 本公开提供了一种内容推荐方法、装置、电子设备和介质，涉及推荐领域，尤其涉及内容推荐领域。方法可以包括：获得与所述第一用户对应的第一特征向量，所述第一特征向量基于与所述第一用户相关联的至少一个关联查询词和至少一个关联内容项；获得与所述第一特征向量关联的至少一个第二用户；以及基于所述至少一个第二用户的行为历史，获得用于向所述第一用户推荐的至少一个推荐内容项。