[HTML][HTML] A brief survey of machine learning and deep learning techniques for e-commerce research
The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …
techniques to address specific tasks in the e-commerce field. In this paper, we present a …
[HTML][HTML] Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing
In recent years, the interest in recommendation systems (RSs) has dramatically increased,
as they have become main components of all online stores. The aims of an RS can be …
as they have become main components of all online stores. The aims of an RS can be …
Knowledge evolutionary process of Artificial intelligence in E-commerce: Main path analysis and science mapping analysis
X He, Y Liu - Expert Systems with Applications, 2024 - Elsevier
Artificial intelligence (AI) is the latest designing and interacting technology used to support
organizations in the competitive electronic commerce (E-commerce) context. The studies on …
organizations in the competitive electronic commerce (E-commerce) context. The studies on …
CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries
Unemployment constitutes one of the major problems in developing countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …
such as unavailable skills and the proliferation of unskilled workers being cited as main …
Strategy creation behaviour and “last gasp” digitalization as predictors of sales performance and cash flow
Purpose Although recent literature has examined diverse measures adopted by SMEs to
navigate the COVID-19 turbulence, there is a shortage of evidence on how crisis-time …
navigate the COVID-19 turbulence, there is a shortage of evidence on how crisis-time …
Sentiment analysis for e-commerce product reviews: Current trends and future directions
S Elzeheiry, WA Gab-Allah, N Mekky, M Elmogy - 2023 - preprints.org
Numerous goods and services are now offered through online platforms due to the recent
growth of online transactions like e-commerce. Users have trouble locating the product that …
growth of online transactions like e-commerce. Users have trouble locating the product that …
InArt: In-Network Aggregation with Route Selection for Accelerating Distributed Training
Deep learning has brought about a revolutionary transformation in network applications,
particularly in domains like e-commerce and online advertising. Distributed training (DT), as …
particularly in domains like e-commerce and online advertising. Distributed training (DT), as …
Deep Learning-Based Recommendation System: Systematic Review and Classification
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …
customer satisfaction and generate revenue in various domains, such as e-commerce and …
Optimizing Electric Vehicle Charging Recommendation in Smart Cities: A Multi-Agent Reinforcement Learning Approach
P Suanpang, P Jamjuntr - World Electric Vehicle Journal, 2024 - mdpi.com
As global awareness for preserving natural energy sustainability rises, electric vehicles
(EVs) are increasingly becoming a preferred choice for transportation because of their ability …
(EVs) are increasingly becoming a preferred choice for transportation because of their ability …
A Novel Hybrid Machine Learning Framework to Recommend E-Commerce Products
C Marigowda, AN Moldovan, A Siddig… - Proceedings of the …, 2023 - dl.acm.org
E-Commerce is the activity of electronically purchasing or selling products in an online
platform. E-Commerce recommender systems provide suggestions of products based on the …
platform. E-Commerce recommender systems provide suggestions of products based on the …