RankSVMtype
RankSVMtype is a term that generally refers to a class of machine learning algorithms derived from the Support Vector Machine (SVM) framework, specifically designed for ranking tasks. Unlike traditional classification SVMs that aim to find a hyperplane separating different classes, RankSVMtype algorithms focus on learning a model that can order a set of items based on their relevance or preference.
The core idea behind RankSVMtype methods is to transform a ranking problem into a binary classification problem
Common approaches within RankSVMtype include methods that formulate the problem as a set of binary classifiers