34 datasets found

Multimodal recommender system for large-scale assortment generation in e-commerce.

E-commerce platform with the goal of creating dream homes for all. Users browse Overstock’s catalog to select pieces that complement one another while matching the stylistic...

Taobao Search consists of two phases: the retrieval phase and the ranking phase. Given a user query, the retrieval phase returns a sub-set of candidate products for the...

Amazon Beauty and Amazon Toys datasets

Amazon-Toys-and-Games dataset is a real-world dataset for recommender systems, containing user-item interactions.

Amazon-Beauty dataset is a real-world dataset for recommender systems, containing user-item interactions.

AliExpress is a public multi-scenario dataset collected from the AliExpress search system, which contains users' click and purchase behaviors from five different countries.

Simulated purchasing datasets with non-stationary reward distributions

Amazon is an e-commerce website where users can buy products.

The industrial dataset is collected from the user log data of one of the most renowned local life information and trading platforms in China. We extract a total of 21 scenarios...

This dataset contains product reviews and metadata from Amazon.

The Tmall dataset is a real-world E-commerce dataset that contains multiple types of user behaviors including purchases and views.

The dataset is used for click-through rate (CTR) prediction task in recommender systems.

The Amazon Berkeley Objects Dataset (ABO) is a public available e-commerce dataset with multiple images per product.