Franco Maria Nardini

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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 …

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 …

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, …