ScholarGate
助手
Regression modelRanking models

Plackett-Luce 模型

Plackett-Luce 模型是一个用于分析和预测排序数据的概率框架。该模型由 Robin Plackett (1975) 在 R. Duncan Luce (1959) 的早期选择公理基础上提出,它将任何完整排序的概率建模为一个序贯选择过程,其中每个项目在每个位置被选中的几率与其潜在价值参数成正比。该模型广泛应用于偏好学习、推荐系统和选择建模。

用 DecisionMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Plackett, R. L. (1975). The analysis of permutations. Journal of the Royal Statistical Society: Series C, 24(2), 193–202. DOI: 10.2307/2346567

如何引用本页

ScholarGate. (2026, June 2). Plackett-Luce Model for Rankings. ScholarGate. https://scholargate.app/zh/decision-making/plackett-luce-model

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGatePlackett-Luce Model (Plackett-Luce Model for Rankings). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/plackett-luce-model · 数据集: https://doi.org/10.5281/zenodo.20539026