Clustering the news with cheap models: a measured look at embeddings, online centroids and entity extraction
A news aggregator has a deceptively simple job: notice when forty outlets are writing about the same event, and show it once. Underneath, that job is an online clustering problem on a stream of short, noisy, multilingual texts, with a hard budget on cost per item. The usual instinct is to throw a l…
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- 2026-11-10 08:37 · DEV Community — Machine Learning
Clustering the news with cheap models: a measured look at embeddings, online centroids and entity extraction