Search Results for author: Chengzhang Zhu

Found 4 papers, 0 papers with code

Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science

no code implementations3 Dec 2021 Longbing Cao, Chengzhang Zhu

The learned universal representation of each customer is all-round, representative and benchmarkable to support both enterprise-wide and domain-specific learning goals and tasks in enterprise data science.

Decision Making Management +2

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making

no code implementations19 Aug 2021 Longbing Cao, Chengzhang Zhu

CRN represents multiple coupled dynamic sequences of a customer's historical and current states, responses to decision-makers' actions, decision rewards to actions, and learns long-term multi-sequence interactions between parties (customer and decision-maker).

Decision Making Sequential Recommendation

Unsupervised Heterogeneous Coupling Learning for Categorical Representation

no code implementations21 Jul 2020 Chengzhang Zhu, Longbing Cao, Jianping Yin

This work introduces a shallow but powerful UNsupervised heTerogeneous couplIng lEarning (UNTIE) approach for representing coupled categorical data by untying the interactions between couplings and revealing heterogeneous distributions embedded in each type of couplings.

Attribute Disentanglement +1

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