A zero-weight, training-free news recommender combining recency decay with embedding and category similarity beats neural baselines offline and nearly matches them online at 600× speed.
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ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation
A zero-weight, training-free news recommender combining recency decay with embedding and category similarity beats neural baselines offline and nearly matches them online at 600× speed.