Development of Recommendation Systems with OpenAI Embeddings and Csharp
This article presents an introduction to recommendation systems, highlighting their importance in digital platforms and the use of algorithms to personalize the user experience. It explores the concept of OpenAI embeddings, which are vector representations of words, essential for improving the accuracy of recommendations. The text details the implementation of collaborative filtering and content-based methods in C#.
Institutions
- Flint Institute Of Arts (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-02
- DOI
- https://doi.org/10.5281/zenodo.14247711
- Primary Topic
- Recommender Systems and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00