Unveiling the Hidden Complexities of Cosine Similarity in High-Dimensional Data: A Deep Dive into Linear Models and Beyond

In data science and artificial intelligence, embedding entities into vector spaces is a pivotal technique, enabling the numerical representation of objects like words, users, and items. This method facilitates the quantification of similarities among entities, where vectors closer in space are considered more similar. Cosine similarity is the one that measures the cosine of the […]

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