Ecommerce has evolved to make product discovery easier in a virtual form and purchase
through online retailers. Over the last decade, the development of the digital economy with …

We propose a group recommender system considering the recommendation quantity and
repeat purchasing by using the existing collaborative filtering algorithm in order to optimize …

Recommender method plays a critical role in the discovery and display of interesting items
from near-infinite inventories to potential users. Yet the recommender systems are being …

Nowadays, e-commerce is becoming an essential part of business for many reasons,
including the simplicity, availability, richness and diversity of products and services, flexibility …

Impact of recommender algorithms on the sales of e-commerce websites | Emerald Insight
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …

This study presents a real-world collaborative filtering recommendation system implemented
in a large Korean fashion company that sells fashion products through both online and …

Nowadays, recommendation systems are being used by an ever-increasing number of E-
commerce platforms to help customers locate goods to purchase. Recommendation systems …

The Emerging growth of internet increases the possibility to shop over online. E-commerce
facilities are increasing day by day. The rapid development of E-commerce is bound for …

This paper presents a new algorithm for recommender systems applied to smart carts. As the
customers pass through the store's aisles, they place their desired products in their cart …

The rapid growth of e-commerce has caused product overload where the customer is no
longer able to effectively choose the products he/she is exposed to. To overcome the …