Showing 19,221 - 19,240 results of 36,050 for search '(( significantly ((level increased) OR (greater decrease)) ) OR ( significant decrease decrease ))', query time: 0.75s Refine Results
  1. 19221
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  8. 19228

    Summary of experimental dataset. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  9. 19229

    Impacts of on rating prediction RMSE and MAE. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  10. 19230

    Results of bundle recommendation for each method. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  11. 19231

    The RMSE results of each rating methods. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  12. 19232

    Impacts of the number of layers on the model. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  13. 19233

    The impact of the bundle size on the model. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  14. 19234

    Results comparison in the ablation experiments. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  15. 19235

    Impacts of on rating prediction (RMSE+MAE). by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  16. 19236

    S1 File. The main code of the research. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  17. 19237

    Impacts of embedding dimension on the model. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  18. 19238

    Problem description diagram. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  19. 19239

    Changes in MMSE scores by age group. by Juneyoung Heo (20161057)

    Published 2025
    “…</p><p>Results</p><p>Among patients with K–L grade 4, the decrease in the Mini-Mental State Examination score in patients who underwent surgery was significantly lower than that in other patients who received conservative treatment only.…”
  20. 19240

    Limitations in Determining Oxidation States in Condensed Matter at the Subnanometric Scale by Deborah Perco (21540648)

    Published 2025
    “…Understanding and defining the elemental oxidation state of solid materials at the atomic level becomes increasingly complex as their physical dimensions are reduced from tens of nanometerswhere properties are still dominated by bulk or outer atomic crystal plane characteristics, to the subnanometric limit. …”