vasculitis
发表于 2025-3-26 21:23:25
Learning for Ranking Aggregation,le ranking, which is better than any of the original rankings in terms of an evaluation measure. Learning for ranking aggregation is about building a ranking model for ranking aggregation using machine learning techniques.
品尝你的人
发表于 2025-3-27 02:25:44
Methods of Learning to Rank,R SVM , GBRank , RankNet , ListNet & ListMLE , AdaRank , SVM MAP , SoftRank , LambdaRank , and LambdaMART , and three methods for ranking aggregation, including Borda Count , Markov Chain , and CRanking .
Nibble
发表于 2025-3-27 08:34:02
Applications of Learning to Rank,ocument retrieval, expert search, definition search, meta-search, personalized search, online advertisement, collaborative filtering, question answering, keyphrase extraction, document summarization, and machine translation.
持续
发表于 2025-3-27 12:53:00
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prostatitis
发表于 2025-3-27 18:27:16
Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition978-3-031-02155-8Series ISSN 1947-4040 Series E-ISSN 1947-4059
黑豹
发表于 2025-3-28 01:46:38
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Omniscient
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Curmudgeon
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