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Book Open access Sep 2026

Beyond Passive Preference Inference: User-Governed Preference Memory and Calibrated Initiative in Recommender Systems

Recommender systems remain organized around passive preference inference: estimate latent interest from behavioral traces, then rank. Past: implicit feedback, matrix factorization, learning-to-rank, and large-scale offline evaluation made this abstraction highly productive. Present: four mismatches expose what predicti...

Kai-Wen Deng, Hao Jiang, Jia-Xin Cheng et al. · 0 citations
Book Open access Sep 2026

Beyond Passive Preference Inference: User-Governed Preference Memory and Calibrated Initiative in Recommender Systems

Recommender systems remain organized around passive preference inference: estimate latent interest from behavioral traces, then rank. Past: implicit feedback, matrix factorization, learning-to-rank, and large-scale offline evaluation made this abstraction highly productive. Present: four mismatches expose what predicti...

Kai-Wen Deng, Hao Jiang, Jia-Xin Cheng et al. · 0 citations

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