Billion-user customer lifetime value prediction: an industrial-scale solution from Kuaishou

K Li, G Shao, N Yang, X Fang, Y Song - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Customer Life Time Value (LTV) is the expected total revenue that a single user can bring to
a business. It is widely used in a variety of business scenarios to make operational decisions …

[HTML][HTML] A new 360 framework to predict customer lifetime value for multi-category e-commerce companies using a multi-output deep neural network and explainable …

G Yılmaz Benk, B Badur, S Mardikyan - Information, 2022 - mdpi.com
Online purchasing has developed rapidly in recent years due to its efficiency, convenience,
low cost, and product variety. This has increased the number of online multi-category e …

An actor-critic reinforcement learning model for optimal bidding in online display advertising

C Yuan, M Guo, C Xiang, S Wang, G Song… - Proceedings of the 31st …, 2022 - dl.acm.org
The real-time bidding (RTB) paradigm allows the advertisers to submit a bid for each
impression in online display advertising. A usual demand of the advertisers is to maximize …

Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions

J Yang, Y Li, D Jobson - arXiv preprint arXiv:2207.14798, 2022 - arxiv.org
Promotions have been trending in the e-commerce marketplace to build up customer
relationships and guide customers towards the desired actions. Since incentives are …

[PDF][PDF] Determining optimal marketing and pricing policies by considering customer lifetime network value in oligopoly markets

S Vatankhah, R Samizadeh - Journal of Industrial and Management …, 2022 - academia.edu
Nowadays, the customer network effects are becoming a central issue for the companies,
while the previous studies have been only limited to customer lifetime value and its related …

A general deep probabilistic model for customer lifetime value prediction of companies: A unified evaluation metric and analysis of the required historical data for …

J Olnén - 2022 - diva-portal.org
A comprehensive understanding of customers' future Lifetime Value (LTV) enables
companies to assess the return on marketing investment and may provide a useful tool …

[PDF][PDF] 多層ニューラルネットワークを用いたマルチタスク学習による顧客購買行動予測

蓮本恭輔, 後藤正幸 - 情報処理学会論文誌, 2022 - it.mgmt.waseda.ac.jp
顧客の購買行動を理解し, 個々の顧客が将来どの程度自社の製品やサービスを利用してくれるのか
, どれだけの利益をもたらしてくれるかを知ることは, 企業にとって重要な課題である. 近年 …

[PDF][PDF] プラットフォームビジネスにおける顧客購買行動予測に関する研究

蓮本恭輔 - 2022 - waseda.repo.nii.ac.jp
近年, オンラインビジネスにおいて, 楽天市場やメルカリなどのマーケットプレイス型ビジネスや
PayPay のような決済サービスなど, 消費者と生産者を結びつけ, 取引を仲介するビジネスの躍進が …