Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
文脈
ジョークの面白さは非常に主観的です。7万以上のユーザーにジョークを評価してもらい、普遍的に面白いジョークを特定するアルゴリズムを書くことはできるでしょうか？
内容
- データファイルは **.csv** 形式です。
- 完全なデータセットは100行と73422列です。
- 完全なデータセットは3つの **.csv** ファイルに分割されています。
- **JokeText.csv** にはジョークのIDと完全なジョークの文字列が含まれています。
- **UserRatings1.csv** には最初の36710人のユーザーによる評価が含まれています。
- **UserRatings2.csv** には最後の36711人のユーザーによる評価が含まれています。
- データセットは、初期のユーザーが後期のユーザーよりも多くのジョークを評価しているように配置されています。
- 評価は **-10.0** から **+10.0** までの実数値です。
- **空白の値** は、ユーザーがその特定のジョークに対して評価を提供していないことを示します。
謝辞
このデータセットは以下の研究論文に関連しています。
[Eigentaste: A Constant Time Collaborative Filtering Algorithm.](http://www.ieor.berkeley.edu/~goldberg/pubs/eigentaste.pdf) Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Information Retrieval, 4(2), 133 - 151. 2001年7月。
詳細情報とデータセットは [http://eigentaste.berkeley.edu/dataset/](http://eigentaste.berkeley.edu/dataset/) で見つけることができます。
インスピレーション
面白さは非常に主観的な問題であるため、データサイエンスが何が面白いものを作り出すのかの詳細を明らかにできるかどうかを見るのは非常に面白いでしょう。
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
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