Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank.
Muhammad IbrahimMark James CarmanPublished in: ACM Trans. Inf. Syst. (2016)
Keyphrases
- learning to rank
- random forest
- pointwise
- objective function
- weighted sum
- ranking functions
- information retrieval
- decision trees
- feature set
- loss function
- learning to rank algorithms
- evaluation measures
- ensemble methods
- document retrieval
- ranking svm
- multi label
- balancing exploration and exploitation
- collaborative filtering
- supervised learning
- ranking models
- test collection
- retrieval systems
- data sets
- linear combination
- language model
- feature selection
- machine learning