Answerable

Recommendation system for Stack Overflow unanswered questions

Answerable helps you find questions to answer on Stack Overflow.

Preview

Table of contents

• Quick guide
• Contributors
• Contributing
• To do
• License

Quick guide

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• Clone the repository

  git clone https://github.com/MiguelMJ/Answerable.git

• Install dependencies

  pip install -r requirements.txt

• Save the user (see how to get your relevant user information)

  python answerable.py save -u ID [-t FILE]

• Get information of your profile

  python answerable.py summary -u ID

• Get recommendations

  python answerable.py recommend -u ID

To see a more complete guide, visit the wiki.

Contributors

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Thanks to the people that have contributed to this project: (emoji key)

Dennis Lee 🐛 📝

dan1st 📖

This project follows the all-contributors specification.

Posts

• I made a recommendation system for Stack Overflow unanswered questions in DEV.to by MiguelMJ.
• Makerwork 001 in Makerwork by Dennis Lee

Contributing

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• Find the contributing guidelines in CONTRIBUTING.md.

• You can also contribute by testing the program yourself and reporting any issue .

• Support this project!

  ⭐ Star this repository .

  ⬆️ Upvote it on Stack Apps and comment your feedback.

To do

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• Allow users with too many answers choose which ones to use.
  • Use X newest, X most popular or the whole activity history (maybe add a time estimation for this last option, as it could take several minutes to retrieve it all).
• Add the option to just select questions that they would like to have answered (useful for users without answer history). (Implemented, improvements required)
• Allow user defined recommendation models.
• Make documentation for making recommendation models.
• Store the last recommendations and update them instead of ignoring them in future calls.
  • Update means:
    • Remove already answered/closed/marked as duplicate ones.
    • Add the rest to the recently received, before applying the recommendation algorithm.
• Add a command to manage the cache, instead of requiring the users to do it themselves.

Low priority

• Include the rest of the Stack Exchange communities.
• Make a GUI.
• Add flexible filters (Don't show questions with negative score e.g).
• Display statistics about the information taken into account to make the recommendations.
• Automatically check for new releases on GitHub.
• Try out more learning models and integrate them.
• Adapt behaviour for users with authentication token.

License

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Answerable uses the MIT license, a copy of which you can find here, in the repository.