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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 <!-- Mention PR Type according to the issue in brackets below and check the below box --> [ ] Feature Screenshots / videos (if applicable) <!–Attach any relevant screenshots or videos demonstrating the changes–> N/A Checklist <!-- [X] - put a cross/X inside [] to check the box --> [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.
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