5 results about "Activity list" patented technology

The application discloses an activity page display method and device, equipment and a storage medium. The method comprises the following steps: periodically sending an activity list update request to a server through a set SDK, so as to trigger the server to determine a matching activity list corresponding to a current user account based on activity participation conditions of each activity and current user account information and to feed back; in the case that the matching activity list sent by the server is received, caching the matching activity list through the SDK; in the case that a list acquisition request is detected, calling an activity list acquisition interface of the SDK to acquire the cached matching activity list, and generating an activity page containing a display activity list corresponding to the matching activity list to display. The application uniformly manages activity pushing and display functions through the SDK, and realizes efficient and personalized activity page display processes.

The present invention provides a smart accounting processing device and method. According to one embodiment of the present invention, the smart accounting processing device provides a first activity list providing program for providing a first activity list, a resource list providing program for providing a resource list, an activity purpose list providing program for selecting the first activity list and providing a matching activity purpose list, a selecting program for selecting the first activity list and the matching activity purpose list, selecting one option in the activity purpose list, and storing a second activity list according to the first activity list and the selected activity purpose and a corresponding activity list providing program. If selected, an account subject system is included, and corresponding account subjects are provided in a saved account subject table based on the selected second activity list and the selected resource list.

The application relates to a data query method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: receiving user information input on a data query interface; performing qualification examination on the user information according to an activity rule to obtain an examination result; when the examination result represents that the examination is passed, entering an activity list interface; in response to a triggering operation on the activity list interface, obtaining a corresponding activity primary key and activity code; in response to the activity primary key and the activity code input on a business query interface, sending a query request to a query server, so that the query server obtains original activity data according to the query request; and extracting target activity data from the original activity data according to a returned parameter. The method can save human resources and background query server resources.

Automatic identification of drilling activities based on daily reported job codes includes obtaining a drilling report for a well. The drilling report includes codes. The method further includes obtaining a template including a plurality of rules, the plurality of rules including one rule. The rule maps one or more of the plurality of codes from the drilling report to one of the activity tags. The activity tags are mapped to the drilling report using the rule to identify occurrences of activities from the drilling report having the activity tags. An activity list is presented, the activity list including the activity tags with timing information for activities at the well.

This invention discloses an activity recommendation method for a big data-based cultural cloud platform, belonging to the field of activity recommendation technology. The method includes the following steps: constructing a multi-scale interest graph based on user behavior to obtain a user graph model; calculating the similarity of activity nodes based on the user graph model to obtain a candidate activity set; performing behavioral preference inference based on the candidate activity set to obtain a refined activity list; recommending activities based on the refined activity list to obtain recommendation results; and collecting user feedback behavior based on the recommendation results to obtain a feedback interest graph. This invention can more accurately reflect users' multi-dimensional interests, capture changes in user interests over different time periods, handle complex user interest structures and behavioral patterns, improve the accuracy and flexibility of recommendations, enhance the adaptability to dynamic changes in user interests, improve the timeliness and personalized recommendation capabilities of the recommendation system, and increase the accuracy of recommendations.