Data processing method and system

A system for determining attribute data that effectively describes a target object, comprising:

• at least one memory, wherein the memory includes at least one set of instructions to push information;
• and
• at least one processor, communicating with the at least one memory, wherein during operation, the at least one processor executes the at least one set of instructions to cause the system to at least:
• obtain a descriptor set describing attributes of a target object, wherein the descriptor set includes K descriptors,
• perform a plurality of dimensionality reduction iterations on the descriptor set to reduce a quantity of descriptors in the descriptor set, until the plurality of dimensionality reduction iterations meet preset stop information, wherein the preset stop information includes a valid quantity value N that enables accuracy of the plurality of dimensionality reduction iterations to reach a first preset value while the quantity of descriptors in the descriptor set remains approximately unchanged, the accuracy is used to represent consistency between a predicted value and a real value of a preset target model, and K and N are both integers greater than 1,
• determine, from descriptors obtained by the plurality of dimensionality reduction iterations, descriptors whose occurrence frequencies meet a preset condition as core descriptors, and
• output the core descriptors and N as attribute data.