User-Item Feature Graph for Content Based Recommendations of Japanese Anime Shows
Michael Sun · Harvard Dataverse · 2021
Graph induced from 10000 Japanese animation shows, where nodes are shows and edges are a) user written show reviews with ratings and b) user-written show-to-show recommendations. Each show has textual and non-textual features. The data has been split for train/val/test on both warm start, where recommended items have existing interactions, and cold start, where they don't, scenarios.