异端
发表于 2025-3-26 23:33:43
Query-Dependent Rank Aggregation with Local Modelsge the results of different local models. Experimental results show that our approaches are better than all rank-based aggregation approaches and some global models in LETOR4. Especially, we found that our approaches have better performance in dealing with difficult queries.
chuckle
发表于 2025-3-27 05:10:35
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oxidize
发表于 2025-3-27 08:41:09
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宣誓书
发表于 2025-3-27 10:03:36
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BRIBE
发表于 2025-3-27 16:02:52
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CAND
发表于 2025-3-27 21:39:53
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细胞
发表于 2025-3-27 22:04:18
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Presbycusis
发表于 2025-3-28 03:13:02
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效果
发表于 2025-3-28 09:38:08
Conference proceedings 2011teractive information retrieval; Web information retrieval, scalability and adversarial information retrieval; machine learning for information retrieval; natural language processing for information retrieval; arabic script text processing and retrieval.
Estimable
发表于 2025-3-28 10:52:13
Construct Weak Ranking Functions for Learning Linear Ranking Functionwhen constructing the weak ranking functions, and propose two normalization selection methods to decide which normalization should be used for a specific ranking feature. The experimental results show that the final ranking functions based on normalization selection methods significantly outperform the original one.