"Add ML-Based Recommendations for Related Products Based on User Selections" #199
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@Renukanarayan is attempting to deploy a commit to the minavkaria's projects Team on Vercel. A member of the Team first needs to authorize it. |
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Welcome to Our repository, @Renukanarayan! 🎊 Thank you so much for taking the time to point this out.
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This PR transforms the search feature by implementing ML-based recommendations. Previously, search results only displayed items that matched the beginning letters of the query. Now, with ML integration, search results suggest related products based on user selection, item type, and category, creating a more personalized experience. |
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How to run the recommendation search engine: |
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@Renukanarayan I'll review the code soon and let you know in few days |
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@Renukanarayan Sorry Contributor, We aren't using the python backend as of now, Thank you for your contribution. Feel free to open a new issue if you find any. |
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As of until,you used python right can I know what key changes made and other languages you get involved with |
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@Renukanarayan Hey contributor , currently the whole project is working on MERN stack , I'll contact you if we'll need any help in python development. |
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Ok, thanks for the update.
…On Thu, 28 Nov 2024, 8:46 am Minav Karia, ***@***.***> wrote:
@Renukanarayan <https://github.com/Renukanarayan> Hey contributor ,
currently the whole project is working on MERN stack , I'll contact you if
we'll need any help in python development.
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Description:
This PR transforms the search feature by implementing ML-based recommendations. Previously, search results only displayed items that matched the beginning letters of the query. Now, with ML integration, search results suggest related products based on user selection, item type, and category, creating a more personalized experience.
Highlights
Enhanced Search: Upgrades search from exact matches to ML-driven recommendations.
Relevant Suggestions: Provides related products to improve user engagement and discovery.
gssoc-ext, hacktoberfest-accepted, Level 3
Issue Reference: #137 opened by @Renukanarayan