Searched for: subject%3A%22Learning%255C+to%255C+Rank%22
(1 - 6 of 6)
document
Wang, Zhiheng (author)
Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. Despite their effectiveness, learning-to-rank (LTR) models often operate as complex systems, making it difficult to discern the factors influencing their ranking decisions. This lack of transparency raises concerns about...
master thesis 2024
document
Li, Roger Zhe (author)
doctoral thesis 2023
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Gold, Andrew (author)
Ranking algorithms in traditional search engines are powered by enormous training data sets that are meticulously engineered and curated by a centralized entity. Decentralized peer-to-peer (p2p) networks such as torrenting applications and Web3 protocols deliberately eschew centralized databases and computational architectures when designing...
master thesis 2023
document
Westerborg, Ties (author)
Learning to Rank is the application of Machine Learning in order to create and optimize ranking functions. Most Learning to Rank methods follow a listwise approach and optimize a listwise loss function which closely resembles the same metric used in the evaluation. Popular listwise loss functions such as nDCG, AP and nRBP do not have consistent...
master thesis 2022
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach (e.g. TFMAP, CLiMF, Top-N-Rank) aim at optimizing the same metric being used for evaluation, under the assumption that this will lead to the best performance. A number of studies...
conference paper 2021
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Morales Martinez, Francisco (author)
Weak baselines have been present in Information Retrieval (IR) for<br/>decades. They have been associated with IR progress stagnation, baseline<br/>selection bias to publish results more readily, and models’ effectiveness<br/>reproducibility issues that hinder the validation of results by independent<br/>research teams. Weak baselines have been...
master thesis 2020
Searched for: subject%3A%22Learning%255C+to%255C+Rank%22
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