A review on customer segmentation methods for personalized customer targeting in e-commerce use cases
M Alves Gomes, T Meisen - Information Systems and e-Business …, 2023 - Springer
The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
Will this online shopping session succeed? predicting customer's purchase intention using embeddings
Customers are increasingly using online channels to buy products. For e-commerce
companies, this offers new opportunities to tailor the shopping experience to customers' …
companies, this offers new opportunities to tailor the shopping experience to customers' …
TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior
Real-time customer purchase prediction tries to predict which products a customer will buy
next. Depending on the approach used, this involves using data such as the customer's past …
next. Depending on the approach used, this involves using data such as the customer's past …
It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation
Alongside natural language processing and computer vision, large learning models have
found their way into e-commerce. Especially, for recommender systems and click-through …
found their way into e-commerce. Especially, for recommender systems and click-through …
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
The rapid evolution of technology has transformed business operations and customer
interactions worldwide, with personalization emerging as a key opportunity for e-commerce …
interactions worldwide, with personalization emerging as a key opportunity for e-commerce …