Product Recommendation Stack

[ThaliaBarrera]

Enhancing Customer Experience with Personalized Product Recommendations.

Extract user interaction and purchase data using Airbyte and dbt to generate personalized product recommendations and improve customer experience.

How to get started:

• Check out the README and the Contribution instructions in this repo.
• Check one of the existing quickstarts and observe their structure.
• (Optional, but highly recommended) Implement one of the quickstarts by following the instructions in their README. I recommend starting with E-commerce analytics in BigQuery

[MaryAyobami]

@ThaliaBarrera I would love to work on this...can it be assigned to me?

[ThaliaBarrera]

Hi @MaryAyobami! Sure, I have assigned it to you.

[ThaliaBarrera]

Hi @MaryAyobami, this message is just to remind you that according to the Hackathon rules you have 5 days to submit progress on the issue. I’ll give you a couple more days to submit a PR, otherwise I’ll have to mark the issue as “To be Claimed” or reassign it.

Thank you for understanding! Let me know if you have any questions.

[Ghanshyam-0097]

Hey 👋

I'd love to give this a try, please assign it to me.

[ThaliaBarrera]

Hi @Ghanshyam-0097! We recommend that you contribute to one issue at a time. Once you have a PR for the other issue you have assigned, I can assign you to this one :).

[sudo-black]

@ThaliaBarrera Can I work on this one ?

[ThaliaBarrera]

Hi @sudo-black, sure! I have assigned it to you.

[ThaliaBarrera]

I am unassigning this as there has been no progress in the last 5 days. This is now open!

[Rahmanunjan]

Hi Can you assign it to me? Thanks

[ThaliaBarrera]

Sure @Rahmanunjan!