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DIN and DIEN: target-conditioned interest activation and evolution

Contribution grade

Sequential recommendation learning · Human-designed research method or resource

Reference score125,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Used candidate-conditioned attention to select historical user interests; DIEN added auxiliary-supervised sequential interest extraction and attention-modulated recurrent evolution.

Scientific scope

Used candidate-conditioned attention to select historical user interests; DIEN added auxiliary-supervised sequential interest extraction and attention-modulated recurrent evolution. 2017DIN and2018DIEN bundled with different original bylines. Inherits attention/GRUs and behavior embeddings; inferred latent interest is not measured psychological state or causal preference. v1DIN does not acquire later Dice/minibatch-regularization details without the corresponding revised source. Claimed online CTR changes are source-specific experiments, not universal welfare improvements.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. 2017DIN and2018DIEN bundled with different original bylines. Inherits attention/GRUs and behavior embeddings; inferred latent interest is not measured psychological state or causal preference. v1DIN does not acquire later Dice/minibatch-regularization details without the corresponding revised source. Claimed online CTR changes are source-specific experiments, not universal welfare improvements.

Contributors

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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