Dataset Groups Activity Stream FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning to Rank FOLD-TR is a customized FOLD-R++ algorithm with ranking framework, that aims to rank new items following the ranking pattern in the training data. BibTex: @dataset{Huaduo_Wang_and_Gopal_Gupta_2025, abstract = {FOLD-TR is a customized FOLD-R++ algorithm with ranking framework, that aims to rank new items following the ranking pattern in the training data.}, author = {Huaduo Wang and Gopal Gupta}, doi = {10.57702/knlhdm7q}, institution = {No Organization}, keyword = {'FOLD-TR', 'Inductive Learning', 'Machine Learning', 'Ranking'}, month = {jan}, publisher = {TIB}, title = {FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning to Rank}, url = {https://service.tib.eu/ldmservice/dataset/fold-tr--a-scalable-and-efficient-inductive-learning-algorithm-for-learning-to-rank}, year = {2025} }
