14 datasets found

The dataset used in the paper for session-based recommendation.

The dataset is used for generating persuasive responses to customer reviews in e-commerce. It contains reviews, product information, and responses.

The RETAIL ROCKET dataset is a collection of user behavioral data from a real-world e-commerce website throughout approximately 4.5 months.

The TMALL dataset is a large dataset that consists of interaction logs from the e-commerce TMALL website.

The dataset is a real-world product title dataset with 900,000 product titles and 150 queries.

The dataset used in this paper is a real-world dataset of e-commerce queries and their corresponding attributes.

The dataset is used for e-commerce search and recommendation tasks.

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...

The dataset used in the paper is a proprietary industrial dataset collected from the authors' e-commerce platform's relevant recommendation scenario.

Simulated purchasing datasets with non-stationary reward distributions

The Products-10K dataset is a large-scale image retrieval dataset, containing images of products from an e-commerce website.

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.