27 datasets found

Purchase dataset contains 600 different products (attributes), and each user has a binary record which indicates whether she has bought each of the products (a total of 197,324...

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 Walmart.com dataset consists of ~100,000 shopping cart snapshots with the customers' continual shopping records.

The Instacart dataset consists of ~50,000 grocery products, with the shopping records of ~200 thousand users and 3 million orders.

Main product detection is a crucial step of vision-based fashion product feed parsing pipelines, focused in identifying the bounding boxes that contain the product being sold in...

A comprehensive real-world dataset for trademark infringement detection in e-commerce, sourced directly from Alipay, one of the world's largest e-commerce and digital payment...

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.

The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number...

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.