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sfevents

Demo:

https://www.youtube.com/watch?v=YYdt8L52VrA&t=24s

Project Breakdown:

https://gauravamohan.medium.com/sf-event-recommender-using-llms-d1f9e898fd

Script Descriptions:

clustering:

  • looks for themes in events using transformer models to potentially be used as a feature in embeddings

standardize:

  • combines all the scraped events and reformats to standardize features and emebeddings for models

recommendations:

  • similarity search on event embeddings and user embeddings and storing it in mysql database

index:

  • node.js file for backend to push mysql data to the front end. Dynamically takes liked events and calls update_recs to update table

update recommendations:

  • factors liked events into similarity search to tune recommendations to user's liked events.

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