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卡桑德尔数据集,预测给定用户是否会点击给定报价

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帕依提提2024-03-04 收录
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Data Set 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. Attribute 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 Relevant Papers: Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, and Andre Bois-Crettez. 'KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation', SIGIR 2017. Citation Request: If you publish results based on this data set, please acknowledge its use, by referring to: Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, and Andre Bois-Crettez. 'KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation', SIGIR 2017. Massih-Reza Amini Univ. Grenoble Alpes, CNRS/LIG massih-reza.amini '@' univ-grenoble-alpes.fr Charlotte Laclau Univ. Grenoble Alpes, CNRS/LIG charlotte.laclau '@' univ-grenoble-alpes.fr Sumit Sidana Univ. Grenoble Alpes, CNRS/LIG sumit.sidana '@' imag.fr
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