Create data_collection.py #385
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#362
Description
<!–Please include a brief description of the changes–> Added data collection and recommendation model features. The data collection tracks user interactions (clicks, views, purchases) and stores them in a database. The recommendation model uses collaborative filtering and content-based filtering to provide personalized recommendations.
Related Issues
<!–Cite any related issue(s) this pull request addresses. If none, simply state “None”–>
Closes #123 (Replace with the actual issue number if applicable)
Type of PR
[ ] Feature
Screenshots / videos (if applicable)
<!–Attach any relevant screenshots or videos demonstrating the changes–> N/A
Checklist
[X] I have gone through the contributing guide
[X] I have updated my branch and synced it with project main branch before making this PR
[X] I have performed a self-review of my code
[X] I have tested the changes thoroughly before submitting this pull request.
[X] I have provided relevant issue numbers, screenshots, and videos after making the changes.
[X] I have commented my code, particularly in hard-to-understand areas.
Additional context:
<!–Include any additional information or context that might be helpful for reviewers.–> This feature enhances user experience by providing personalized recommendations and insights into user behavior, which can inform marketing strategies and inventory management.