PLE: progressive separation of shared and task-specific experts

What changed

Separated shared and task-specific expert groups and stacked gated extraction networks, progressively routing lower-level shared knowledge into higher-level task-specific representations.

Scientific scope

Separated shared and task-specific expert groups and stacked gated extraction networks, progressively routing lower-level shared knowledge into higher-level task-specific representations. CGC and its progressive PLE extension are one contribution family. This architecture targets harmful sharing but does not prove elimination of negative transfer or all multi-objective trade-offs. Online view/watch gains are platform experiments, not universal user satisfaction or revenue guarantees.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. CGC and its progressive PLE extension are one contribution family. This architecture targets harmful sharing but does not prove elimination of negative transfer or all multi-objective trade-offs. Online view/watch gains are platform experiments, not universal user satisfaction or revenue guarantees.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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