This invention provides an information recommendation method, apparatus, device, and storage medium. The method involves acquiring
sequence feature data corresponding to information to be recommended, where the
sequence feature data is collected when a user interacts with the information. The method then determines the category corresponding to the
sequence feature data; determines the attention information corresponding to the sequence
feature data for each category; determines the relevance information between the information to be recommended and the user based on the sequence
feature data and the attention information corresponding to the category; and recommends the information to the user based on the relevance information. This invention, while ensuring sufficient cross-category interaction, avoids the risk of information intrusion between sequence
feature data from different categories, thereby enabling more accurate modeling of user interests and improving the accuracy of the recommendation
algorithm.