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Wukong: scalable stacked factorization-machine recommendation

Combined factorization-machine interaction blocks, learned low-rank projections and linear compression blocks in a residual stack, with coordinated depth/width scaling for large recommendation datasets.

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Combined factorization-machine interaction blocks, learned low-rank projections and linear compression blocks in a residual stack, with coordinated depth/width scaling for large recommendation datasets.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Empirical scaling over the tested compute/model/data ranges is not an all-scale law. Low-rank interaction compression depends on dimensions and learned projections; the interaction-order explanation does not certify learning every interaction. Distinct from DHEN's heterogeneous-module ensemble; inherited factorization machines and residual normalization are not new here.

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People and systems

Buyun Zhang; Liang Luo; Yuxin Chen; Jade Nie; Xi Liu; Daifeng Guo; Yanli Zhao; Shen Li; Yuchen Hao; Yantao Yao; Guna Lakshminarayanan; Ellie Dingqiao Wen; Jongsoo Park; Maxim Naumov; Wenlin Chen

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.

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English catalogue narrative

Wukong: scalable stacked factorization-machine recommendation

Combined factorization-machine interaction blocks, learned low-rank projections and linear compression blocks in a residual stack, with coordinated depth/width scaling for large recommendation datasets.

Scientific scope

Empirical scaling over the tested compute/model/data ranges is not an all-scale law. Low-rank interaction compression depends on dimensions and learned projections; the interaction-order explanation does not certify learning every interaction. Distinct from DHEN's heterogeneous-module ensemble; inherited factorization machines and residual normalization are not new here.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Buyun Zhang; Liang Luo; Yuxin Chen; Jade Nie; Xi Liu; Daifeng Guo; Yanli Zhao; Shen Li; Yuchen Hao; Yantao Yao; Guna Lakshminarayanan; Ellie Dingqiao Wen; Jongsoo Park; Maxim Naumov; Wenlin Chen

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.

Original sources