This invention discloses a method,
system, and medium for collecting precise user
preference data, including: collecting multi-source
behavioral data, standardizing the data, and generating a standardized behavioral
event sequence; constructing a preference perturbation sequence, generating a pseudo-probe chain, and identifying preference gap dimensions; constructing a preference topology
tensor, folding the
tensor structure, and extracting probe candidate vectors; inputting the data into an InterFormer network, analyzing rating interaction features, and generating probe content vectors; displaying the probe content, collecting user behavior, recording context and displayed information; constructing a causal graph, generating a causal regeneration kernel, and outputting high-confidence preference samples. This invention achieves precise, reliable, and interpretable data collection of users' true preferences by using preference perturbation and
uncertainty analysis, generating probe content through topology
tensor folding, and combining causal regeneration to construct preference samples.