SOTAVerified

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

Showing 531540 of 753 papers

TitleStatusHype
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams0
Learning to Focus when Ranking Answers0
Responding E-commerce Product Questions via Exploiting QA Collections and Reviews0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering0
CRST: a Claim Retrieval System in Twitter0
Live Detection of Face Using Machine Learning with Multi-feature Method0
A Line in the Sand: Recommendation or Ad-hoc Retrieval?0
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion0
Towards Non-Parametric Learning to Rank0
Biomedical Document Retrieval for Clinical Decision Support System0
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