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排 序 模 型 ( 续 2)<br />
• 基 于 列 表 的 方 法 (Listwise)<br />
• 输 入<br />
‣ 一 个 查 询 下 的 整 个 列 表<br />
• 输 出<br />
‣ 排 序 函 数 f x , 对 于 给 定 查 询 文 档 对 , 能 够 计 算 出 得 分 (score)<br />
• 代 表 模 型<br />
‣ Lambda <strong>Rank</strong><br />
– [Chris Burges et al. <strong>Learning</strong> <strong>to</strong> rank with nonsmooth cost functions]<br />
‣ ListNet<br />
– [Zhe Cao et al. <strong>Learning</strong> <strong>to</strong> rank: from pairwise approach <strong>to</strong> listwise approach]<br />
‣ ListMLE<br />
– [Fen Xia et al. Listwise approach <strong>to</strong> learning <strong>to</strong> rank: theory and algorithm]<br />
‣ Ada<strong>Rank</strong><br />
– [Jun Xu and Hang Li, Adarank: a boosting algorithm for information retrieval]<br />
‣ SVMap<br />
– [Yisong Yue et al. A support vec<strong>to</strong>r method for optimizing average precision]
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