Select Language

AI社区

公开数据集

卡桑德尔数据集,预测给定用户是否会点击给定报价

卡桑德尔数据集,预测给定用户是否会点击给定报价

900M
297 浏览
0 喜欢
5 次下载
0 条讨论
Life Causal-Discovery

Data Set Information:We created this data by sampling and processing the www.kelkoo.com logs. The data records offers wh......

数据结构 ? 900M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    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

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:12 去赚积分?
    • 297浏览
    • 5下载
    • 0点赞
    • 收藏
    • 分享