What changed
Added Transformer encoding of historical clicked items plus the candidate item and relative-time position features to an embedding/MLP ranker, combining the encoded sequence with user, item and context features.
Scientific scope
Added Transformer encoding of historical clicked items plus the candidate item and relative-time position features to an embedding/MLP ranker, combining the encoded sequence with user, item and context features. Specific target-aware CTR ranking integration, distinct from SASRec next-item causal prediction and BERT4Rec masked training. Reuses Wide & Deep and Transformer components. AUC, online CTR and response time are different metrics; deeper stacks were not uniformly better in the reported experiments.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Specific target-aware CTR ranking integration, distinct from SASRec next-item causal prediction and BERT4Rec masked training. Reuses Wide & Deep and Transformer components. AUC, online CTR and response time are different metrics; deeper stacks were not uniformly better in the reported experiments.
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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B