Abstract: The present disclosure provides a map data processing method, an electronic device and a storage medium, relates to a technical field of data processing, and in particular to the field of map data processing. A specific implementation solution is as follows: receiving first data encapsulated in a form of offline data, the first data being used to characterize low-frequency data in the map data; obtaining second data after initiating a first online request, the second data being used to characterize high-frequency data in the map data; and performing merging processing on the first data and the second data to obtain target data to be displayed in a map. By adopting the present disclosure, the timeliness of map data display may be improved.

Abstract: The present application discloses a method for displaying map information and corresponding apparatus, electronic device, and computer storage medium, which relates to the fields of deep learning, knowledge graphs, and artificial intelligence. The method may include: when a user starts a map, acquiring a user feature of the user and historical click theme information of the user; for any to-be-recommended theme, determining a click probability of the to-be-recommended theme by using a pre-trained recommendation model according to the user feature and the historical click theme information respectively; and displaying the to-be-recommended themes with the click probabilities meeting a predetermined requirement on the map. The efficiency of acquiring information through maps by users and the like can be improved by use of the solutions according to the present application.

Abstract: The present application discloses a method for displaying map information and corresponding apparatus, electronic device, and computer storage medium, which relates to the fields of deep learning, knowledge graphs, and artificial intelligence. The method may include: when a user starts a map, acquiring a user feature of the user and historical click theme information of the user; for any to-be-recommended theme, determining a click probability of the to-be-recommended theme by using a pre-trained recommendation model according to the user feature and the historical click theme information respectively; and displaying the to-be-recommended themes with the click probabilities meeting a predetermined requirement on the map. The efficiency of acquiring information through maps by users and the like can be improved by use of the solutions according to the present application.