Re-ranking: Revision history

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21 March 2023

  • curprev 01:1301:13, 21 March 2023‎ Walle talk contribs‎ 3,428 bytes +3,428‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Re-ranking, also known as rank refinement or re-scoring, is an essential technique in machine learning that aims to improve the quality of ranked results generated by a primary ranking model. It involves using a secondary model to adjust the initial ranking produced by the primary model, based on various features and criteria. Re-ranking is widely applied in diverse fields, such as information retrieval, natu..."
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