Content and Language Integrated learning for Key Competences

CLIKC Recommender System Application

This is the CLIKC Recommender System Application repository for development. It has been developed by using LightFM for the recommender part and FastAPI for the microservice part.

Credits & Documentations

• LightFM Documentation: https://making.lyst.com/lightfm/docs/home.html
• LightFM repository: https://github.com/lyst/lightfm
• FastAPI Documentation: https://fastapi.tiangolo.com/
• FastAPI repository: https://github.com/tiangolo/fastapi
• APScheduler Documentation: https://apscheduler.readthedocs.io/en/3.x/index.html
• APScheduler repository: https://github.com/agronholm/apscheduler
• AIOHTTP Documentation: https://docs.aiohttp.org/en/stable/
• AIOHTTP repository: https://github.com/aio-libs/aiohttp
• spaCy Documentation: https://spacy.io
• spaCy repository: https://github.com/explosion/spaCy
• jsonschema Documentation: https://python-jsonschema.readthedocs.io/en/stable/#
• jsonschema repository: https://github.com/python-jsonschema/jsonschema
• Docker Compose Documentation: https://docs.docker.com/compose/
• Docker Compose repository: https://github.com/docker/compose