Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: A survey on learning to rank
Learning to rank using gradient descent
Position Bias Estimation for Unbiased Learning to Rank in Personal Search
Deep Multi-view Learning to Rank
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search
A pairwise ranking based approach to learning with positive and unlabeled examples
FSMRank: Feature Selection Algorithm for Learning to Rank
Online Learning to Rank in Stochastic Click Models
Learning to Rank Academic Experts in the DBLP Dataset
Unifying learning to rank and domain adaptation: enabling cross-task document scoring
Direct Optimization of Ranking Measures
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
Learning to rank for spatiotemporal search
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders
Learning to Rank based on Analogical Reasoning
Context-Aware Ranking with Factorization Models
Learning to rank for robust question answering
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Multi-task learning for boosting with application to web search ranking
MergeRUCB: A Method for Large-Scale Online Ranker Evaluation
Federated Online Learning to Rank with Evolution Strategies
Boosting Algorithms as Gradient Descent
Two-Stream Multi-Task Network for Fashion Recognition
Does the Mirror Neuron System and Its Impairment Explain Human Imitation and Autism
A comparative study of the classification techniques in isolated Mandarin syllable tone recognition
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization