5 datasets found

The Netflix 100M dataset contains 100 million ratings from 480,189 users on 17,770 movies.

The proposed model combines recurrent user history representation with a mixture density network, where a novel attention-based recurrent mixture density has been proposed to...

The dataset used in the paper is a series of datasets introduced in [46], comprising large corpora of product reviews crawled from Amazon.com. Top-level product categories on...

The dataset used in this paper is a large-scale dataset for implicit feedback, consisting of user-item interactions, where each interaction is a pair of a user and an item.

The MovieLens10M dataset is a classic movie rating dataset, whose ratings range from 0.5 to 5.