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user-opening-interaction-matrix

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metadata
license: mit
pretty_name: chess
tags:
  - chess
  - recommendation system
size_categories:
  - n<1K

Chess Opening Recommendation Dataset

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. Each row corresponds to a user, and each column represents a specific chess opening or variation. The dataset was created using information gathered using the Chess.com API, therefore all users in the dataset are from Chess.com.

Dataset Structure

  • Rows: Users
  • Columns: Chess openings and variations (according to ECO)
  • Values: Lists containing two percentages:
    • Frequency: How often the user plays the opening as a percentage.
    • Win Rate: The success rate of the user with that opening as a percentage.

Usage

This dataset can be used to develop and evaluate chess opening recommendation models

Enjoy and happy modeling!