feat: add recommendation feedback loop support

[Avnithakur731-a]

Related Issue

Closes #1563

Why

This feature introduces a recommendation feedback loop so users can provide explicit feedback on recommended items. The collected feedback can be used for future personalization and recommendation improvements.

What Changed

Backend

• Added backend/routers/feedback.py

• Added POST /api/feedback

• Added GET /api/feedback/user/{user_id}

• Added GET /api/feedback/stats

• Added feedback storage structure containing:

  • user_id
  • item_id
  • feedback_type
  • timestamp

• Registered feedback router in backend/main.py

Frontend

• Added feedback buttons on recommendation cards:

  • 👍 Like
  • 👎 Dislike
  • 🔖 Save
  • ⏭ Skip

• Added event handling for feedback actions

• Connected feedback actions with backend APIs

• Added feedback interaction support in recommendation UI

How to Test

1. Start the backend server.

2. Open the recommendation interface.

3. Generate recommendations.

4. Click any feedback button (Like, Dislike, Save, Skip).

5. Verify feedback is submitted successfully.

6. Verify feedback can be retrieved using:

   • GET /api/feedback/user/{user_id}

7. Verify statistics endpoint:

   • GET /api/feedback/stats

Notes

This PR implements feedback collection and retrieval functionality. The collected feedback serves as a foundation for future recommendation score optimization and personalization enhancements.

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[Avnithakur731-a]

Hi @leonagoel,

I have completed the implementation for this issue and submitted PR #1678.

The PR includes the feedback APIs, feedback statistics endpoint, router integration, and frontend feedback controls for Like, Dislike, Save, and Skip actions.

Could you please review the PR when you have time? I would appreciate your feedback and any suggestions for improvement.

Thank you!