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Jan 12, 2024 · Artificial Intelligence

Can Divide‑and‑Conquer Boost Embedding‑Based Retrieval in Recommenders?

The article reviews the arXiv paper “Divide and Conquer: Towards Better Embedding‑based Retrieval for Recommender Systems from a Multi‑task Perspective”, explaining how grouping candidates, balancing easy and hard negatives, and using multi‑interest user vectors can improve recall performance in large‑scale recommendation pipelines.