👉 A "ranker" is a software or application that evaluates and ranks items based on certain criteria. It can be used for various purposes, such as product evaluation, customer satisfaction, or user feedback. The goal of a ranker is to provide users with information about products, services, or other entities in a way that is easy to understand and navigate.
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What is the definition of Rankers? 🙋
👉 In the context of data science and machine learning, a "ranker" is a type of machine learning algorithm that takes in input vectors (often called features) from a dataset and outputs rankings based on their relative importance or relevance. These rankings are typically used to assign scores or labels to instances within the dataset. Rankers can be classified into two main categories: supervised rankers and unsupervised rankers. Supervised rankers use labeled data to train models, while unsupervised rank
