Extreme Learning to Rank via Low Rank Assumption.
Minhao ChengIan DavidsonCho-Jui HsiehPublished in: ICML (2018)
Keyphrases
- learning to rank
- low rank
- matrix factorization
- missing data
- convex optimization
- collaborative filtering
- information retrieval
- loss function
- ranking functions
- linear combination
- low rank matrix
- singular value decomposition
- rank minimization
- semi supervised
- high dimensional data
- document retrieval
- kernel matrix
- high order
- recommender systems
- supervised learning
- retrieval systems
- test collection
- probabilistic model
- search engine
- learning algorithm
- data sets
- dimensionality reduction
- multi class