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FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning t...
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. -
IIT-JEE 2009 dataset
The IIT-JEE 2009 dataset contains scores of candidates from IIT-JEE 2009 which was released in response to a Right to Information application filed in June 2009. -
Pairwise Comparison Data
The dataset used in this paper is a set of pairwise comparison data between students, where each student is compared to every other student. The data is used to train and... -
Online Boosting Algorithms for Multi-label Ranking
We consider the multi-label ranking approach to multi-label learning. Boosting is a natural method for multi-label ranking as it aggregates weak predictions through majority... -
Maximum Coverage Optimization of Twitter Search API Queries for Topic Classif...
Twitter dataset for topic classification and ranking -
LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH...
The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines. -
Framing Image Description as a Ranking Task
A dataset for evaluating the performance of image description models.
