Abstract: A management method is implemented by a transaction processing system. The transaction processing system includes a plurality of participant nodes. Each participant node stores a data partition and is configured to process a plurality of transactions. A combination of data partitions accessed by each transaction includes at least one data partition. The management method includes obtaining a quantity of transactions accessing each combination of data partitions in a cycle and adjusting storage of the data partitions on the plurality of participant nodes based on the quantity of transactions accessing each combination of data partitions in the cycle.

Abstract: A data processing method related to the field of artificial intelligence includes adding an architecture parameter to each feature interaction item in a first model, to obtain a second model, where the first model is a factorization machine (FM)-based model, and the architecture parameter represents importance of a corresponding feature interaction item; performing optimization on architecture parameters in the second model to obtain the optimized architecture parameters; and obtaining, based on the optimized architecture parameters and the first model or the second model, a third model through feature interaction item deletion.