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Learning-To-Rank

Learning to rank is the application of machine learning to build ranking models. Some common use cases for ranking models are information retrieval (e.g., web search) and news feeds application (think Twitter, Facebook, Instagram).

Papers

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Showing 301–325 of 753 papers

TitleStatusHype
An Exploratory Study on Simulated Annealing for Feature Selection in Learning-to-Rank—0
A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter—0
Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths—0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
Estimating Position Bias without Intrusive Interventions—0
A new perspective on classification: optimally allocating limited resources to uncertain tasks—0
Entailment-Preserving First-order Logic Representations in Natural Language Entailment—0
Bounded-Abstention Pairwise Learning to Rank—0
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search—0
Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning—0
Improving Neural Ranking via Lossless Knowledge Distillation—0
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval—0
A Hierarchical Semantics-Aware Distributional Similarity Scheme—0
Addressing Community Question Answering in English and Arabic—0
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems—0
Enhancing LambdaMART Using Oblivious Trees—0
Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings—0
End-to-end Learning for Fair Ranking Systems—0
Boosting API Recommendation with Implicit Feedback—0
A Network Framework for Noisy Label Aggregation in Social Media—0
Embedding Meta-Textual Information for Improved Learning to Rank—0
Eliminating Search Intent Bias in Learning to Rank—0
Block-distributed Gradient Boosted Trees—0
EILEEN: A recommendation system for scientific publications and grants—0
Efficient support ticket resolution using Knowledge Graphs—0
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