데이터셋 탐색

The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies. These preferences take the form of tuples, each the result of a person expressing a preference (a 0-5 star rating) for a movie at a particular time. These preferences were entered by way of the MovieLens web site1 — a recommender system that asks its users to give movie ratings in order to receive personalized movie recommendations. Source: The MovieLens Datasets: History and Context Image Source: http://files.grouplens.org/papers/harper-tiis2015.pdf

Table-MovieLens1M (TML1M) is a relational table dataset derived from the classical MovieLens1M dataset. It consists of three tables: users, movies, and ratings. Notably, the movie table has been enriched with more comprehensive features. Additionally, the dataset defines a standard classification task focused on predicting user age ranges.