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
Deep Multi-view Learning to Rank	Jan 31, 2018	Learning-To-RankMULTI-VIEW LEARNING	—Unverified
Drug Selection via Joint Push and Learning to Rank	Jan 23, 2018	Learning-To-Rank	—Unverified
Assertion-based QA with Question-Aware Open Information Extraction	Jan 23, 2018	Learning-To-RankOpen-Domain Question Answering	—Unverified
Learning to Select: Problem, Solution, and Applications	Jan 1, 2018	Learning-To-Rank	—Unverified
PRUNE: Preserving Proximity and Global Ranking for Network Embedding	Dec 1, 2017	Community DetectionGeneral Classification	CodeCode Available
Learning to Rank based on Analogical Reasoning	Nov 28, 2017	Learning-To-RankObject	—Unverified
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval	Nov 26, 2017	Information RetrievalLearning-To-Rank	CodeCode Available
Neural Ranking Models with Multiple Document Fields	Nov 25, 2017	Learning-To-RankRetrieval	—Unverified
On the ERM Principle with Networked Data	Nov 12, 2017	Learning-To-RankLink Prediction	—Unverified
WMRB: Learning to Rank in a Scalable Batch Training Approach	Nov 10, 2017	Learning-To-Rank	—Unverified
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources	Nov 6, 2017	Context Aware Product RecommendationLearning-To-Rank	CodeCode Available
Learning Visual Features from Snapshots for Web Search	Oct 19, 2017	Learning-To-RankRetrieval	—Unverified
Learning to Rank Semantic Coherence for Topic Segmentation	Sep 1, 2017	Common Sense ReasoningDiscourse Parsing	—Unverified
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model	Sep 1, 2017	Community Question AnsweringGeneral Classification	—Unverified
Content Selection for Real-time Sports News Construction from Commentary Texts	Sep 1, 2017	Document SummarizationFeature Engineering	—Unverified
Improved Answer Selection with Pre-Trained Word Embeddings	Aug 14, 2017	Answer SelectionInformation Retrieval	—Unverified
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features	Aug 1, 2017	Information RetrievalLearning-To-Rank	—Unverified
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
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations	Jul 28, 2017	Learning-To-RankRecommendation Systems	—Unverified
Modeling Label Ambiguity for Neural List-Wise Learning to Rank	Jul 24, 2017	Learning-To-Rank	CodeCode Available
A Deep Investigation of Deep IR Models	Jul 24, 2017	Information RetrievalLearning-To-Rank	—Unverified
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture	Jul 20, 2017	Feature EngineeringLearning-To-Rank	CodeCode Available
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer	Jul 5, 2017	ClusteringImage Clustering	—Unverified
Alternative Objective Functions for Training MT Evaluation Metrics	Jul 1, 2017	Learning-To-RankMachine Translation	—Unverified
A Network Framework for Noisy Label Aggregation in Social Media	Jul 1, 2017	Cultural Vocal Bursts Intensity PredictionImage Classification	—Unverified

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