Abstract: A sequence recommendation method based on extraction and modeling of complex multi-mode user interests is provided, including: obtaining long-term and short-term embedding sequences; obtaining updated long-term and short-term embedding sequences through the long-term and short-term embedding sequences; with embedding vectors of last items in the updated long-term and short-term embedding sequences as long-term and short-term dynamic interests of a user, obtaining long-term and short-term static interests of the user through weighted calculation; concatenating the long-term and short-term dynamic interests and the long-term and short-term static interests, and performing nonlinear change to obtain long-term and short-term evolutionary interests of the user; obtaining a dynamic interest, a static interest and an evolutionary interest of the user through element-wise summation; performing weighted summation to obtain a fused user interest; calculating a product of the fused interest with embedding of each item a

Abstract: A non-invasive time domain reflection probe calibration method includes: using different volume ratio of ethanol and deionized water mixed solution to calculate a test target's medium weight coefficient and waveguide length of the non-invasive time domain reflection probes; using different concentrations of NaCl solutions to calibrate a waveguide geometric dimensioning of the non-invasive time domain reflection probes; preparing compacted soil samples with known different moisture contents and densities, and calibrating a correlation parameter of compacted soil samples' dielectric constant and conductivity with moisture content and density. The method not only determines the sensitivity of the test target medium of the non-invasive time domain reflection probes, but also obtains the waveguide length and geometric dimensioning of the probe, and realizes an accurate test of moisture content and density of the soil.

Abstract: An in-situ evaluation method and system for loess collapsibility based on non-destructive time-domain reflection technology, includes: calculating loess dry density and mass water content; considering loess dry density, mass water content and basic physical property indicators, and evaluating loess collapsibility in situ through mathematical models. The loess collapsibility in-situ evaluation method based on the non-destructive time domain reflectometry technology of the present invention can not only realize whether the loess has collapsibility, but also has the potential to distinguish strong, medium and slight collapsibility.