| # Amazon-Apps Datasets | |
| ## Dataset Description | |
| The Amazon-Apps dataset is a shopping network. It includes information about items, users and reviews. Nodes represent items and users. Text on a item node is the description of the item. Text on a user node is the `reviwer`. The item text is `item`. Edges represent relationships between items and users. Text on an edge is a user's review of a item including following information: `Reviewer [reviewerName] left a review on [reviewTime], giving the product [rating] stars. In his/her review, he/she wrote: [reviewText]. His/Her summary was [summary].`. | |
| ## Graph Machine Learning Tasks | |
| ### Link Prediction | |
| Link prediction in the Amazon-Apps dataset involves predicting potential connections between users and items. The goal is to predict whether a user will purchase a item. | |
| ### Node Classification | |
| Node classification tasks in the Amazon-Apps dataset include predicting the items' category. | |
| ## Dataset Source | |
| http://jmcauley.ucsd.edu/data/amazon/links.html |