The Tribler Learning-to-Rank (LTR) Dataset is a collection of feature vectors derived from a decentralized search engine conducted within the Tribler peer-to-peer file-sharing network. This dataset wa
Reference Studies who have been using the data (in any form) are required to add the following reference to their report/paper: @inproceedings{Ye:2014, author = {Ye, Xin and Bunescu, Razvan and Liu,
OBJECTIVE We explored how judgements provided by physicians can be used to learn relevance models that enhance the quality of patient cohorts retrieved from Electronic Health Records (EHR) collections
