Highlights
Objective
The key objectives of this assignment are to learn how to train and evaluate a non-trivial machine learning model. More specifically, the task is called “learning-to-rank”. You will be given a set of training features that contain the relevance labels 0 (not relevant), 1 (partially relevant) and 2 (relevant), for a large set of query-document pairs. Your task is to research this problem, find a suitable solution, train a model, and produce a result file from a training set that will be scored using standard evaluation measures in Information Retrieval. If you are unfamiliar with IR, you might want to look through the book Learning to Rank for Information Retrieval by Tie-Yan Liu, which is available online in the RMIT library and also on canvas now.
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