[HTML][HTML] Recommendation systems for e-shop**: Review of techniques for retail and sustainable marketing

G Stalidis, I Karaveli, K Diamantaras, M Delianidi… - Sustainability, 2023 - mdpi.com
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 …

Affective video recommender systems: A survey

D Wang, X Zhao - Frontiers in Neuroscience, 2022 - frontiersin.org
Traditional video recommendation provides the viewers with customized media content
according to their historical records (eg, ratings, reviews). However, such systems tend to …

High-Performance artificial intelligence recommendation of quality research papers using effective collaborative approach

VK Venkatesan, MT Ramakrishna, A Batyuk, A Barna… - Systems, 2023 - mdpi.com
The Artificial Intelligence Recommender System has emerged as a significant research
interest. It aims at hel** users find things online by offering recommendations that closely …

[HTML][HTML] An e-commerce recommendation system based on dynamic analysis of customer behavior

FT Abdul Hussien, AMS Rahma, HB Abdulwahab - Sustainability, 2021 - mdpi.com
The technological development in the devices and services provided via the Internet and the
availability of modern devices and their advanced applications, for most people, have led to …

Exploring the effects of personalized recommendations on student's motivation and learning achievement in gamified mobile learning framework

S Drissi, A Chefrour, K Boussaha, H Zarzour - Education and Information …, 2024 - Springer
In this research, a GAmified Mobile Leaning Framework (GAMOLEAF) developed as a new
intelligent application designed for mobile devices to ensure learning, assessing, and …

CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable develo** countries

HN Mpia, LW Mburu, SN Mwendia - Engineering Applications of Artificial …, 2023 - Elsevier
Unemployment constitutes one of the major problems in develo** countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …

New machine learning model based on the time factor for e-commerce recommendation systems

DT Tran, JH Huh - The Journal of Supercomputing, 2023 - Springer
Nowadays, thanks to the development of e-commerce websites, businesses can capitalize
on many benefits, for example, there are many methods of approaching customers online …

iMovieRec: a hybrid movie recommendation method based on a user-image-item model

S Hwang, H Ahn, E Park - International Journal of Machine Learning and …, 2023 - Springer
We propose iMovieRec, a hybrid movie recommendation method that employs an image-
user-item model, which utilizes both CF models and graph features. The purpose of this …

Recommender-based bone tumour classification with radiographs—a link to the past

F Hinterwimmer, RS Serena, N Wilhelm, S Breden… - European …, 2024 - Springer
Objectives To develop an algorithm to link undiagnosed patients to previous patient histories
based on radiographs, and simultaneous classification of multiple bone tumours to enable …

Recommendation engines-neural embedding to graph-based: Techniques and evaluations

A Akbar, P Agarwal, AJ Obaid - International Journal of Nonlinear …, 2022 - ijnaa.semnan.ac.ir
The goal of any profit organization is to bolster its revenue by providing useful suggestions
to its customer base. In order to achieve this, vast research is being undertaken by …