# Amazon-Movie Datasets

## Dataset Description
The Amazon-Movie dataset is a shopping network. It includes information about books, 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 includes the following information: `The product titled '[title]'. It features [feature] and is about [description], making it an excellent choice for [fit]. This product is priced at [price] and comes from the brand [brand]. It ranks [rank] and was released on [date].` 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-Movie 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-Movie dataset include predicting the items's category. 

## Dataset Source
https://cseweb.ucsd.edu/~jmcauley/datasets/amazon_v2/