Neural Optimization with Adaptive Heuristics for Intelligent Marketing System

arXiv:2405.10490v1 Announce Type: cross
Abstract: Computational marketing has become increasingly important in today's digital world, facing challenges such as massive heterogeneous data, multi-channel customer journeys, and limited marketing budgets. In this paper, we propose a general framework for marketing AI systems, the Neural Optimization with Adaptive Heuristics (NOAH) framework. NOAH is the first general framework for marketing optimization that considers both to-business (2B) and to-consumer (2C) products, as well as both owned and paid channels. We describe key modules of …

abstract ai systems arxiv become budgets challenges computational cs.ai cs.ir cs.lg customer customer journeys data digital digital world framework general heuristics intelligent marketing marketing ai massive math.oc noah optimization paper stat.me systems type world