The personalized product preference and decision-making recommendation systems are
highly demanded to handle big data and to increase service quality of the e-commerce …

With the increasing popularity of online shopping and information explosion, personalized
recommender systems for e-commerce become more and more necessary, which helps …

Recommender systems are powerful tools that allow companies to present personalized
offers to their customers and defined as a system which recommends an appropriate product …

E-commerce recommender systems have been converted to a very important decision-
making helper for customers, and provide online personalised recommendations using …

Recommender systems provide personalized recommendations on products or services to
customers. Collaborative filtering is a widely used method of providing recommendations …

Aiming at data sparsity and timeliness in traditional E‐commerce collaborative filtering
recommendation algorithms, when constructing user‐item rating matrix, this paper utilizes …

The creation of digital marketing has enabled companies to adopt personalized item
recommendations for their customers. This process keeps them ahead of the competition …

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 …

Recommender systems, also known as recommender engines, have become an important
research area and are now being applied in various fields. In addition, the techniques …

The rapid growth of web information provides excellent opportunities for developing various
e-services applications in many domains. However, it has also caused information overload …