https://www.kaggle.com/c/movielens-100k 介绍: 基于Paddle 2.2 向用户推荐电影的协作过滤算法。MovieLens 评级数据集列出了一组用户对一组电影的评分。目标是能够预测用户尚未观看的电影的收视率。然后,可以向用户推荐预测收视率最高的电影。 数据集: 这个数据集(ml-latest-small)描述了MovieLens的五星评级和自由文...
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About Dataset SUMMARY & USAGE LICENSE MovieLens data sets were collected by the GroupLens Research Project at the University of Minnesota. This data set consists of: * 100,000 ratings (1-5) from 943 users on 1682 movies. * Each user has rated at least 20 movies. * Simple demographic ...
Dataset Description MovieLens 100K dataset The data used here is from MovieLens 100K, and it is taken from 100,000 movie ratings. Each user has an ID, and each movie has an ID. I've split this into 80,000 ratings for the training set u_train.data (with fields of user ID, movie ID...
This is a competition for a Kaggle hack night at the Cincinnati machine learning meetup. It uses the MovieLens 100K dataset, which has 100,000 movie reviews. Click the Data tab for more information and to download the data. Your goal: Predict how a user will rate a movie, given ratings ...
MovieLens 100K Dataset Stable benchmark dataset. 100,000 ratings from 1000 users on 1700 movies Data CardCode (1)Discussion (0)Suggestions (0) Discussions notifications_activeFollowingarrow_drop_downaddNew Topic search filter_listFilters
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Usability info 1.76 License Unknown Expected update frequency Not specified Tags README.txt(8.36 kB) get_app fullscreen chevron_right Summary === This dataset (ml-latest-small) describes 5-star rating and free-text tagging activity from [MovieLens](http://movielens.org), a movie recommendation...
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This is a competition for a Kaggle hack night at the Cincinnati machine learning meetup. It uses the MovieLens 100K dataset, which has 100,000 movie reviews. Click the Data tab for more information and to download the data. Your goal: Predict how a user will rate a movie, given ratings ...