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Methods, systems, and media for collecting precise user preference data

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.
Owner:NANJING ZHIHUI YUNQI TECHNOLOGY CO LTD