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I thought the two-tower embedding model was now the go-to approach for building real-time recommendation engines? https://www.linkedin.com/pulse/personalized-r

• random314 5y ago
  In a certain sense, matrix factorization is a special case of a TTSN with RMSE loss. If you want cross entropy loss, use word2vec. Follow it up with a lambdarank ranker.