2results about How to "Improve trigger ability" patented technology

The present invention relates to a pen, and in particular to a mechanical pen and an operating method thereof. The positional relationship of a tool body is determined by the displacement of an adjusting member arranged in an outer rod, and the tool body has two position states of core collection and core extraction. The adjusting member realizes the relative stability of the two position states through a positioning member or a positioning groove, a reset member and a control member on the outer rod; the reset member is transmitted through the tool body to continuously provide a continuous force to the adjusting member, so that the state of the displacement member on the adjusting member when it is located at the core collection position is relatively stable; when the displacement member moves to the core extraction position in the positioning groove, the displacement member is restricted through the control member so that the core extraction position state is relatively stable.

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.