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 576–600 of 753 papers

Title	Date	Tasks	Status	Hype
Learning to Select: Problem, Solution, and Applications	Jan 1, 2018	Learning-To-Rank	—Unverified	0
PRUNE: Preserving Proximity and Global Ranking for Network Embedding	Dec 1, 2017	Community DetectionGeneral Classification	CodeCode Available	0
Learning to Rank based on Analogical Reasoning	Nov 28, 2017	Learning-To-RankObject	—Unverified	0
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval	Nov 26, 2017	Information RetrievalLearning-To-Rank	CodeCode Available	0
Neural Ranking Models with Multiple Document Fields	Nov 25, 2017	Learning-To-RankRetrieval	—Unverified	0
On the ERM Principle with Networked Data	Nov 12, 2017	Learning-To-RankLink Prediction	—Unverified	0
WMRB: Learning to Rank in a Scalable Batch Training Approach	Nov 10, 2017	Learning-To-Rank	—Unverified	0
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources	Nov 6, 2017	Context Aware Product RecommendationLearning-To-Rank	CodeCode Available	0
Learning Visual Features from Snapshots for Web Search	Oct 19, 2017	Learning-To-RankRetrieval	—Unverified	0
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering	Oct 10, 2017	Answer SelectionClustering	CodeCode Available	1
Content Selection for Real-time Sports News Construction from Commentary Texts	Sep 1, 2017	Document SummarizationFeature Engineering	—Unverified	0
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model	Sep 1, 2017	Community Question AnsweringGeneral Classification	—Unverified	0
Learning to Rank Semantic Coherence for Topic Segmentation	Sep 1, 2017	Common Sense ReasoningDiscourse Parsing	—Unverified	0
Improved Answer Selection with Pre-Trained Word Embeddings	Aug 14, 2017	Answer SelectionInformation Retrieval	—Unverified	0
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features	Aug 1, 2017	Information RetrievalLearning-To-Rank	—Unverified	0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering	Aug 1, 2017	Answer SelectionCommunity Question Answering	—Unverified	0
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations	Jul 28, 2017	Learning-To-RankRecommendation Systems	—Unverified	0
A Deep Investigation of Deep IR Models	Jul 24, 2017	Information RetrievalLearning-To-Rank	—Unverified	0
Modeling Label Ambiguity for Neural List-Wise Learning to Rank	Jul 24, 2017	Learning-To-Rank	CodeCode Available	0
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture	Jul 20, 2017	Feature EngineeringLearning-To-Rank	CodeCode Available	0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer	Jul 5, 2017	ClusteringImage Clustering	—Unverified	0
Learning to Rank Retargeted Images	Jul 1, 2017	Image RetargetingLearning-To-Rank	—Unverified	0
A Network Framework for Noisy Label Aggregation in Social Media	Jul 1, 2017	Cultural Vocal Bursts Intensity PredictionImage Classification	—Unverified	0
Alternative Objective Functions for Training MT Evaluation Metrics	Jul 1, 2017	Learning-To-RankMachine Translation	—Unverified	0
autoBagging: Learning to Rank Bagging Workflows with Metalearning	Jun 28, 2017	AutoMLBayesian Optimization	—Unverified	0

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