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 …
according to their historical records (eg, ratings, reviews). However, such systems tend to …
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 …
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 …
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 helping users find things online by offering recommendations that closely …
interest. It aims at helping users find things online by offering recommendations that closely …
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 …
availability of modern devices and their advanced applications, for most people, have led to …
Recommendation engines-neural embedding to graph-based: Techniques and evaluations
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 …
to its customer base. In order to achieve this, vast research is being undertaken by …
iMovieRec: a hybrid movie recommendation method based on a user-image-item model
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 …
user-item model, which utilizes both CF models and graph features. The purpose of this …
Human resources management after industry 4.0: Blending AI and HRM
S Anayat - Strategic Human Resource Management in the …, 2023 - igi-global.com
Artificial intelligence (AI) continues to be a puzzling hypothesis, and it's probable that
philosophical zeal might have influenced service standards of AI far beyond reality. This …
philosophical zeal might have influenced service standards of AI far beyond reality. This …
Technologies for GQM-based metrics recommender systems: a systematic literature review
Purpose: With this Systematic Literature Review (SLR), we aim to discover technologies to
construct a Goal-Question-Metrics (GQM) based metrics recommender for software …
construct a Goal-Question-Metrics (GQM) based metrics recommender for software …
New machine learning model based on the time factor for e-commerce recommendation systems
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 …
on many benefits, for example, there are many methods of approaching customers online …