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--- |
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license: mit |
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pretty_name: chess |
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tags: |
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- chess |
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- recommendation system |
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size_categories: |
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- n<1K |
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--- |
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# Chess Opening Recommendation Dataset |
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This is a small dataset representing a user-opening interaction matrix (with 20 users and 4418 different opening variations), designed for training a recommender system to suggest chess openings. |
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Each row corresponds to a user, and each column represents a specific chess opening or variation. |
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The dataset was created using information gathered using the Chess.com API, therefore all users in the dataset are from Chess.com. |
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## Dataset Structure |
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- Rows: Users |
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- Columns: Chess openings and variations (according to ECO) |
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- Values: Lists containing two percentages: |
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- Frequency: How often the user plays the opening as a percentage. |
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- Win Rate: The success rate of the user with that opening as a percentage. |
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## Usage |
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This dataset can be used to develop and evaluate chess opening recommendation models |
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Enjoy and happy modeling! |
