Results 261 to 270 of about 2,986,386 (301)

Recommender Systems: An Explainable AI Perspective

2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021
In recent years, in the era of information overload development, the need for recommender systems that make personalized suggestion systems has become a very exciting field for researchers. To develop models that generate high-quality recommendations, the explainable recommendation has been introduced, proposing to develop intuitive and trustworthy ...
Alexandra Vultureanu-Albisi   +1 more
openaire   +2 more sources

AI Powered Book Recommendation System

Proceedings of the 2019 ACM Southeast Conference, 2019
The purpose of this study is to demonstrate the development of book recommendation systems through the usage of Artificial Intelligence (AI). Models of recommender systems displayed in the study are popularity-based, correlation-based (otherwise known as collaborative filtering), and content-based.
Erin Cho, Meng Han
openaire   +2 more sources

AI in Personalized Product Recommendations

Management and Business Review, 2023
Consumers today are presented with a vast wealth of product offerings in digital marketplaces and storefronts. It is essential that managers consider how to ensure that shoppers find their company’s products. Kartik Hosanagar and Dokyun Lee explain the power of recommender systems, fueled by AI, to do just that.
Kartik Hosanagar, Dokyun Lee
openaire   +1 more source

The Speinshart Recommendations on Generative AI and the EU AI Act

2023
PUBLISHED
Ahern, D   +10 more
openaire   +3 more sources

Prompt Recommendations for AI Art

2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2023
Hyelim Yang   +5 more
openaire   +1 more source

AI Food Recommendation Systems

2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA), 2022
Sin-Hua Wu   +3 more
openaire   +1 more source

Eduscholar AI - Ai-powered Scholarship Recommendation System

In many educational institutions, students often struggle to find suitable scholarships because information is spread across multiple sources, eligibility conditions are complex, and personalized guidance is limited. EduScholar AI is a web-based scholarship recommendation system designed to address these challenges by simplifying and automating the ...
Dr. K. Mahesh   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy