Results 151 to 160 of about 633,019 (195)

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   +1 more source

Recommender systems under European AI regulations

Communications of the ACM, 2022
Di Noia, Tommaso, Tintarev, Nava, Fatourou, Panagiota, Schedl, Markus   +3 more
openaire   +1 more source

AI Food Recommendation Systems

2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA), 2022
Sin-Hua Wu, Jung Hsiao, Yan-Sheng Wu, Jin-Tsong Jeng   +3 more
openaire   +1 more source

AI-Powered Recommendations for Travelers

Abstract— Traveling offers improved social value when travelers find individuals who match their social preferences. Traditionally, travel partners connect through social media groups, forums, or personal networks, but these methods often fail to provide personalized or effective solutions.
V, Devanarayanan, G S, Ajith
openaire   +1 more source

AI Supported Smart Service Recommendation Algorithm

2021
Armut Technology is an online platform that brings together customers and service providers, and positions service providers as business partners with the principle of "Crowdsourcing". Nearly 4000 services are offered within the company. This number is increasing gradually as new service requests are also received from service providers. When
KAZAMEL, Mohammed Saif Ragab, ALICI, Ali
openaire   +1 more source

AIR - AI-basierter Recommender für nachhaltigen Tourismus

Abschlussbericht zum Projekt AIR - AI-basierter Recommender für nachhaltigen ...
Schmücker, Dirk, Bellmann, Charlotte, Bergler, Marina, Brosda, Fabian, Engelhardt, Denise, Fischbach, Jürgen, Horster, Eric, Huber, Dominik, Hufnagel, Almuth, Keller, Robert, Ketter, Frank, Lottritz, Christoph, Menke, Franka, Neubig, Stefan, Niemeijer, Christiaan, Oldsen, Rieka, Pape, Julian, Prange, Michael, Radlmayr, Christoph, Rebholz, Dominik, Reif, Julian, Reuter, Simon, Soutschek, Martin, Stellmacher, Paul, von Winckelmann, Jeremy, Will, Fabian   +25 more
openaire   +1 more source

Altering user Recommendations Using Generative AI

International Journal of Innovative Science and Research Technology
Enhancing user experiences on video platforms such as YouTube requires personalised content discovery. Repetitive or inappropriate suggestions are produced by current recom- mendation systems, which frequently rely on engagement-based data. In order to provide a more individualised and distraction- free experience, this study presents an innovative ...
M. Venkata Sai Pranav, K. Sai Rahul Reddy, K. Rakesh Kumar, A. Sai Vishal Krishna, Dr. Divya   +4 more
openaire   +1 more source

A systematic review of rehabilitation and exercise recommendations in oncology guidelines

Ca-A Cancer Journal for Clinicians, 2021
Nicole L Stout, Daniel Santa Mina, Kathleen Doyle Lyons   +2 more
exaly  

AIs Recommended for Breast Cancer Prevention

Cancer Discovery, 2019
Abstract The U.S. Preventive Services Task Force recently released a draft recommendation suggesting that clinicians offer risk-reducing medications, including tamoxifen, raloxifene, and aromatase inhibitors, to women who have an increased risk of developing breast cancer and a low risk of side effects.
openaire   +1 more source

Addressing distress management challenges: Recommendations from the consensus panel of the American Psychosocial Oncology Society and the Association of Oncology Social Work

Ca-A Cancer Journal for Clinicians, 2021
Teresa L Deshields, Sharla Wells-Di Gregorio, Ryan D Nipp   +2 more
exaly