This is a fine-tuned version of the BGE-base-en-v1.5 model trained specifically as a course recommender. It uses Multiple Negatives Ranking Loss and produces embeddings that can be compared for semantic similarity. It is designed for education and recommendation applications using the sentence-transformers library.
In the Foundation models & chat space, Bge Base En V1.5 Course Recommender takes a focused approach. It focuses on generating embeddings optimized for recommending relevant courses based on text similarity. Bge Base En V1.5 Course Recommender is an open-source project aimed at education technologists and developers. The project is open source (Apache-2.0). The product ships for the web, the command line, and API, and it can be self-hosted.
Behind Bge Base En V1.5 Course Recommender is Data Society, and the product first shipped in 2019. The project is developed in the open on GitHub with 18.9k stars and 94 commits in the last 90 days. Among its 3 catalogued features are Sentence Similarity, Text Embeddings, and Course Recommendation. It exposes integrations via a public API.
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