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Found 2 papers, 1 papers with code
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
In personalized recommender systems, embeddings are often used to encode customer actions and items, and retrieval is then performed in the embedding space using approximate nearest neighbor search.
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Data features and class probabilities are two main perspectives when, e. g., evaluating model results and identifying problematic items.
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