Faire un système de recommandation
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
Research direction
Start by reviewing the linked Frontend-Hello issue 135 and the Backend-Hello API entry points. Determine the recommendation requirements, user-data integration, algorithm scope, and API contract; done means personalized recommendations are available through the required web and mobile APIs.
Written by the indexing model from the issue text.
Description
Lié à : https://github.com/ApplETS/Frontend-Hello/issues/135
Votre demande de fonctionnalité est-elle liée à un problème ? Veuillez décrire.
Actuellement, le système de recommandation n'est pas encore implémenté côté backend. Cela limite notre capacité à fournir des recommandations personnalisées aux utilisateurs basées sur leurs préférences et comportements.
Décrivez la solution que vous souhaitez
Développer et intégrer la tâche backend pour le système de recommandation. Cela inclut la création d'algorithmes de recommandation, l'intégration avec la base de données utilisateur, et la mise en place des API nécessaires pour fournir des recommandations à l'application web et mobile.
- Dominant language
- C#
- Stars
- 1
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Getting set up
- Ships a Dockerfile or Docker Compose file
- No pull request template
- No contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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