Cosine Similarity: Not the Silver Bullet We Thought It Was
(shaped.ai)
In the world of machine learning and data science, cosine similarity has long been a go-to metric for measuring the semantic similarity between high-dimensional objects. However, a new study by researchers at Netflix and Cornell University challenges our understanding of this popular technique, exposing the underlying issues that could lead to arbitrary and meaningless results.
In the world of machine learning and data science, cosine similarity has long been a go-to metric for measuring the semantic similarity between high-dimensional objects. However, a new study by researchers at Netflix and Cornell University challenges our understanding of this popular technique, exposing the underlying issues that could lead to arbitrary and meaningless results.