Results 41 to 50 of about 74,183 (271)

Explainable AI and deep learning models for recommender systems: State of the art and challenges [PDF]

Journal of Universal Computer Science
Recommender systems have a pivotal function in delivering customized and pertinent suggestions to clients on the basis of their preferences and activities.
Maroua Benleulmi, Ibtissem Gasmi, Nabiha Azizi, Nilanjan Dey   +3 more
doaj   +3 more sources

Digital nudging with recommender systems: Survey and future directions

Computers in Human Behavior Reports, 2021
Recommender systems are nowadays a pervasive part of our online user experience, where they either serve as information filters or provide us with suggestions for additionally relevant content.
Mathias Jesse, Dietmar Jannach
doaj   +1 more source

Improving argumentation-based recommender systems through context-adaptable selection criteria [PDF]

, 2015
Recommender Systems based on argumentation represent an important proposal where the recommendation is supported by qualitative information. In these systems, the role of the comparison criterion used to decide between competing arguments is paramount ...
García, Alejandro Javier, Gottifredi, Sebastián, Simari, Guillermo Ricardo, Teze, Juan Carlos Lionel   +3 more
core   +2 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Onto Proximality in Non Negative Matrix Factorization for Recommender Systems

IEEE Access
Recommender Systems have become integral to most e-commerce applications and online platforms. The recommended suggestions heavily impact customer retention and business performance.
Rachana Mehta, Shakti Mishra, Snehanshu Saha   +2 more
doaj   +1 more source

Exploiting synergy between ontologies and recommender systems [PDF]

, 2002
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries.
Alani, Harith, Middleton, Stuart E., Roure, David C. De, Shadbolt, Nigel R.   +3 more
core   +2 more sources

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source

Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future prospects

Health Sciences Review
In the era of big data, artificial intelligence (AI) algorithms have the potential to revolutionize healthcare by improving patient outcomes and reducing healthcare costs.
Talha Iqbal, Mehedi Masud, Bilal Amin, Conor Feely, Mary Faherty, Tim Jones, Michelle Tierney, Atif Shahzad, Patricia Vazquez   +8 more
doaj   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

A Neural Networks Approach for Improving the Accuracy of Multi-Criteria Recommender Systems

Applied Sciences, 2017
Accuracy improvement has been one of the most outstanding issues in the recommender systems research community. Recently, multi-criteria recommender systems that use multiple criteria ratings to estimate overall rating have been receiving considerable ...
Mohammed Hassan, Mohamed Hamada
doaj   +1 more source