Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …
already undergone significant changes because of artificial intelligence (AI). Business-to …
Neural embeddings of graphs in hyperbolic space
Neural embeddings have been used with great success in Natural Language Processing
(NLP). They provide compact representations that encapsulate word similarity and attain …
(NLP). They provide compact representations that encapsulate word similarity and attain …
An inclusive survey on machine learning for CRM: a paradigm shift
Customer relationship management (CRM) is the tool to enhance customer relationship in
any business. Due to the exponential growth of data volume, in any field, it is significant to …
any business. Due to the exponential growth of data volume, in any field, it is significant to …
Customer lifetime value in video games using deep learning and parametric models
Nowadays, video game developers record every virtual action performed by their players. As
each player can remain in the game for years, this results in an exceptionally rich dataset …
each player can remain in the game for years, this results in an exceptionally rich dataset …
Improved customer lifetime value prediction with sequence-to-sequence learning and feature-based models
J Bauer, D Jannach - ACM Transactions on Knowledge Discovery from …, 2021 - dl.acm.org
The prediction of the Customer Lifetime Value (CLV) is an important asset for tool-supported
marketing by customer relationship managers. Since standard methods based on purchase …
marketing by customer relationship managers. Since standard methods based on purchase …
Cross-domain adaptative learning for online advertisement customer lifetime value prediction
Accurate estimation of customer lifetime value (LTV), which reflects the potential
consumption of a user over a period of time, is crucial for the revenue management of online …
consumption of a user over a period of time, is crucial for the revenue management of online …
[HTML][HTML] Customer base analysis with recurrent neural networks
One of the primary goals that researchers look to achieve through customer base analysis is
to leverage historical records of individual customer transactions and related context factors …
to leverage historical records of individual customer transactions and related context factors …
Predicting customer value with social relationships via motif-based graph attention networks
Customer value is essential for successful customer relationship management. Although
growing evidence suggests that customers' purchase decisions can be influenced by social …
growing evidence suggests that customers' purchase decisions can be influenced by social …
perCLTV: A general system for personalized customer lifetime value prediction in online games
Online games make up the largest segment of the booming global game market in terms of
revenue as well as players. Unlike games that sell games at one time for profit, online …
revenue as well as players. Unlike games that sell games at one time for profit, online …
Large-scale ensemble model for customer churn prediction in search ads
Customer churn prediction is one of the most important issues in search ads business
management, which is a multi-billion market. The aim of churn prediction is to detect …
management, which is a multi-billion market. The aim of churn prediction is to detect …