Article recommendation method, device and equipment and computer readable storage medium

The invention discloses an article recommendation method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining business data corresponding to a user business, the business data comprising at least one of to-be-recommended article data, user data and behavior data; determining a recommendation scene according to the user service; determining an article set according to the business data and a recommendation algorithm strategy associated with the recommendation scene; and according to the article set, determining a recommended article corresponding to the user service. By setting the recommendation scenes, the recommendation items corresponding to the user services in different recommendation scenes are determined, and the accuracy and flexibility of determining the recommendation items are improved. 本发明公开了一种物品推荐方法、装置、设备和计算机可读存储介质，所述方法包括：获取用户业务对应的业务数据，所述业务数据包括待推荐的物品数据、用户数据、行为数据中至少一个；根据所述用户业务确定推荐场景；根据所述业务数据和所述推荐场景关联的推荐算法策略，确定物品集合；根据所述物品集合确定所述用户业务对应的推荐物品。本发明通过