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The document discusses the evolution of customer analytics from traditional segmentation methods to Unified Multi-Task Learning frameworks, highlighting the challenges of data fragmentation in the digital economy. It reviews classical customer representation techniques like RFM Analysis and Gradient Boosted Decision Trees, while emphasizing the need for dynamic modeling through advanced architectures like LSTMs and Transformers. The report outlines the integration of various data types to create a comprehen

Author

apnatimeayega3210

Language

EN