Speaking with Actions - Learning Customer Journey Behavior
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8652245/8665495/08665577.pdf?arnumber=8665577
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Action Attention GRU: A Data-Driven Approach for Enhancing Purchase Predictions in Digital Marketing;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08
2. AaPiDL: an ensemble deep learning-based predictive framework for analyzing customer behaviour and enhancing sales in e-commerce systems;International Journal of Information Technology;2024-03-21
3. A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
4. Involving users in the development of a modeling language for customer journeys;Software and Systems Modeling;2023-01-19
5. Unsupervised Deep Subgraph Anomaly Detection;2022 IEEE International Conference on Data Mining (ICDM);2022-11
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