SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 681–690 of 753 papers

Title	Date	Tasks	Status
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM	Jul 2, 2015	feature selectionLearning-To-Rank	—Unverified
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions	Jul 1, 2015	Information RetrievalKnowledge Graphs	—Unverified
SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem	Jul 1, 2015	Learning-To-Rank	—Unverified
SOLAR: Scalable Online Learning Algorithms for Ranking	Jul 1, 2015	Collaborative FilteringInformation Retrieval	—Unverified
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles	Jul 1, 2015	Learning-To-Rank	—Unverified
Learning to Explain Entity Relationships in Knowledge Graphs	Jul 1, 2015	Knowledge GraphsLearning-To-Rank	CodeCode Available
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification	Jun 1, 2015	Learning-To-RankPatch Matching	—Unverified
Making Better Use of Edges via Perceptual Grouping	Jun 1, 2015	Image RetrievalLearning-To-Rank	—Unverified
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network	May 29, 2015	AttributeImage Retrieval	—Unverified

Show:10 25 50

← PrevPage 69 of 76Next →

No leaderboard results yet.