Answerable helps you find questions to answer on Stack Overflow.
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Table of contents
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Clone the repository
git clone https://github.com/MiguelMJ/Answerable.git
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Install dependencies
pip install -r requirements.txt
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Save the user (see how to get your relevant user information)
python answerable.py save -u ID [-t FILE]
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Get information of your profile
python answerable.py summary -u ID
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Get recommendations
python answerable.py recommend -u ID
To see a more complete guide, visit the wiki.
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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.
- I made a recommendation system for Stack Overflow unanswered questions in DEV.to by MiguelMJ.
- Makerwork 001 in Makerwork by Dennis Lee
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Find the contributing guidelines in CONTRIBUTING.md.
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You can also contribute by testing the program yourself and reporting any issue .
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Support this project!
⬆️ Upvote it on Stack Apps and comment your feedback.
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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).
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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.
- Update means:
- 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).
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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.
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Answerable uses the MIT license, a copy of which you can find here, in the repository.