Azure-Samples/azure-sql-db-session-recommender
Build a recommender using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
This project helps event organizers or content managers build a session recommendation system. By inputting details like session titles and abstracts, it processes this information to generate intelligent suggestions. The end result is a web application that recommends relevant sessions to users, making it useful for event planners, conference organizers, or anyone managing a catalog of content.
No commits in the last 6 months.
Use this if you need a scalable way to recommend content, like conference sessions or articles, to your audience based on their interests or existing content.
Not ideal if you're looking for a simple, off-the-shelf recommendation plugin without needing to manage the underlying infrastructure.
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MIT
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Last pushed
Mar 18, 2024
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