Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees.
Jingwei KangMaarten de RijkeHarrie OosterhuisPublished in: SIGIR (2024)
Keyphrases
- learning to rank
- hessian matrix
- ranking functions
- ranking svm
- information retrieval
- loss function
- step size
- evaluation measures
- decision trees
- query dependent
- learning to rank algorithms
- document retrieval
- direct optimization
- ranking algorithm
- web search
- collaborative filtering
- gaussian derivatives
- ranking list
- particle swarm optimization
- structure tensor
- face recognition
- multimedia
- machine learning
- directly optimize
- bayesian networks