Content recommendation method and device based on multiple scenes, electronic equipment and storage medium

The invention provides a content recommendation method and device based on multiple scenes, electronic equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the field of big data. According to the specific implementation scheme, portrait data and scene sequence data of a user are obtained; wherein the portrait data represents historical behaviors of the user, and the scene sequence data represents a plurality of scenes experienced by the user within a preset time period; the historical behaviors represent behaviors made by the user on the recommended historical content in a scene within a preset time period; according to the portrait data and the scene sequence data, recommended content is determined from preset alternative content, and the recommended content is recommended to a user. And in combination with the portrait data in different scenes, the content needing to be recommended to the user currently is determined, so that the content recommendation precis