Franco Maria Nardini
3 papers in the PaperMetrix corpus
Papers by this author
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X-CLE <scp>a</scp> VER
2018 · ACM Transactions on Intelligent Systems and Technology
Learning-to-Rank (LtR) solutions are commonly used in large-scale information retrieval systems such as Web search engines, which have to return highly relevant documents in response to user query within fractions of seconds. The most effective …
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Distilled Neural Networks for Efficient Learning to Rank
2022 · IEEE Transactions on Knowledge and Data Engineering
Recent studies in Learning to Rank have shown the possibility to effectively distill a neural network from an ensemble of regression trees. This result leads neural networks to become a natural competitor of tree-based ensembles …
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QuickScorer
2015
Learning-to-Rank models based on additive ensembles of regression trees have proven to be very effective for ranking query results returned by Web search engines, a scenario where quality and efficiency requirements are very demanding. Unfortunately, …