KASANDR

Donated on 5/15/2017

KASANDR is a novel, publicly available collection for recommendation systems that records the behavior of customers of the European leader in e-Commerce advertising, Kelkoo.

Dataset Characteristics

Multivariate

Subject Area

Other

Associated Tasks

Other

Feature Type

Integer

# Instances

17764280

# Features

2158859

Dataset Information

Additional Information

We created this data by sampling and processing the www.kelkoo.com logs. The data records offers which were clicked (or shown) to the users of the www.kelkoo.com (and partners) in Germany as well as meta-information of these users and offers and the objective is to predict if a given user will click on a given offer.

Has Missing Values?

No

Variable Information

userid offerid countrycode category merchant utcdate implicit-feedback 1. train_de.csv (3,14 GB) Instances: 15,844,718 Attributes: 2,299,713 userid: Categorical, 291,485 offerid: Categorical, 2,158,859 countrycode: Categorical, 1 (de - Germany) category: Integer, 271 merchant: Integer, 703 utcdate: Timestamp, 2016-06-01 02:00:17.0 to 2016-06-14 23:52:51.0 implicit feedback (click): Binary, 0 or 1 2. test_de.csv (381,3 MB) Instances: 1,919,562 Attributes: 2,299,713 userid: Categorical, 278,293 offerid: Categorical, 380,803 countrycode: Categorical, 1 category: Integer, 267 merchant: Integer, 738 utcdate: Timestamp, 2016-06-14 23:52:51.0 to 2016-07-01 01:59:36.0 implicit feedback (click): Binary, 0 or 1

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Creators

Sumit Sidana

Charlotte Laclau

Massih-Reza Amini

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