👉 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
