Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective
- Qiang Wei ,
Qiang Wei
[email protected]https://orcid.org/0000-0002-8397-7129
School of Economics and Management, Tsinghua University, Beijing 100084, China;
- Yao Mu ,
Corresponding Author
Yao Mu
[email protected]https://orcid.org/0009-0002-6209-7170
Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai 201620, China;
- Xunhua Guo ,
Xunhua Guo
[email protected]https://orcid.org/0000-0002-7243-4292
China Retail Research Center, School of Economics and Management, Tsinghua University, Beijing 100084, China
- Weijie Jiang,
Weijie Jiang
[email protected]School of Economics and Management, Tsinghua University, Beijing 100084, China;
- Guoqing Chen
Guoqing Chen
[email protected]https://orcid.org/0000-0001-7386-1133
School of Economics and Management, Tsinghua University, Beijing 100084, China;
Qiang Wei
[email protected]https://orcid.org/0000-0002-8397-7129
School of Economics and Management, Tsinghua University, Beijing 100084, China;
Corresponding Author
Yao Mu
[email protected]https://orcid.org/0009-0002-6209-7170
Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai 201620, China;
Xunhua Guo
[email protected]https://orcid.org/0000-0002-7243-4292
China Retail Research Center, School of Economics and Management, Tsinghua University, Beijing 100084, China
Weijie Jiang
[email protected]School of Economics and Management, Tsinghua University, Beijing 100084, China;
Guoqing Chen
[email protected]https://orcid.org/0000-0001-7386-1133
School of Economics and Management, Tsinghua University, Beijing 100084, China;
