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SLSREC

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Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

SLSREC, developed by Meta, is a self-supervised model that disentangles long-term user preferences from short-term intentions using contrastive learning and adaptive fusion.

1Total Mentions
+0.60Sentiment (Very Positive)
0.0%Velocity (7d)
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First seen: Apr 7, 2026Last active: Apr 7, 2026

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  1. Research MilestoneApr 6, 2026

    New self-supervised model for disentangling long- and short-term user interests in recommendations introduced via arXiv preprint.

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WeekAvg SentimentMentions
2026-W150.601