AWhat changed
Jointly trained a wide linear feature-cross model with a deep embedding network and evaluated the integrated ranking system in Google Play recommendations.
Scientific scope
Jointly trained a wide linear feature-cross model with a deep embedding network and evaluated the integrated ranking system in Google Play recommendations. Inherits generalized linear models, feature crosses and embeddings. Memorization/generalization describe empirical modeling roles, not a theorem that their combination always improves recommendation. Online app-acquisition results are historical experiments, not present business impact or universal causal benefit; ranking is distinct from retrieval.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits generalized linear models, feature crosses and embeddings. Memorization/generalization describe empirical modeling roles, not a theorem that their combination always improves recommendation. Online app-acquisition results are historical experiments, not present business impact or universal causal benefit; ranking is distinct from retrieval.
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.
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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