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Stale content complaints dropped by nearly 55% in Google Discover after implementing a dual-filter framework that intelligently targets content relevance decay and supersession.
HA-MoE achieves significant gains in user engagement by effectively managing the complexities of heterogeneous content in recommendation systems.
