Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation
Nowadays, the rapid development of mobile economy has promoted the flourishing of online
marketing campaigns, whose success greatly hinges on the efficient matching between user …
marketing campaigns, whose success greatly hinges on the efficient matching between user …
Marketing budget allocation with offline constrained deep reinforcement learning
We study the budget allocation problem in online marketing campaigns that utilize
previously collected offline data. We first discuss the long-term effect of optimizing marketing …
previously collected offline data. We first discuss the long-term effect of optimizing marketing …
A survey of deep causal models and their industrial applications
The concept of causality plays a significant role in human cognition. In the past few decades,
causal effect estimation has been well developed in many fields, such as computer science …
causal effect estimation has been well developed in many fields, such as computer science …
Imbalance-aware uplift modeling for observational data
Uplift modeling aims to model the incremental impact of a treatment on an individual
outcome, which has attracted great interests of researchers and practitioners from different …
outcome, which has attracted great interests of researchers and practitioners from different …
[HTML][HTML] A new method for solving the mobile payment scheduling problem using harris hawks optimization algorithm during the COVID-19 pandemic
W Sun, C She, M Khalilzadeh, HZ Mao… - Information Systems and e …, 2023 - Springer
Abstract The Coronavirus Disease 2019 (COVID-19) epidemic is causing once-in-a-century
upheavals in global civilization. Payment systems have advanced lately, from simple cash or …
upheavals in global civilization. Payment systems have advanced lately, from simple cash or …