2 datasets found

The dataset includes 27,879 users (sequences), 10,429 items, and 194,439 ratings with density as 0.06%.

Sequential Recommendation characterizes the evolving patterns by modeling item sequences chronologically. The essential target of it is to capture the item transition correlations.