Results 41 to 50 of about 23,764 (310)

User evaluation of a market-based recommender system

, 2008
Recommender systems have been developed for a wide variety of applications (ranging from books, to holidays, to web pages). These systems have used a number of different approaches, since no one technique is best for all users in all situations.
Hall, W, Hall, Wendy, Wei, Yan Zheng, Wei, YZ, Jennings, Nicholas R., Jennings, NR, Moreau, L, Moreau, Luc   +7 more
core   +1 more source

Outfit Recommender System

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
The online apparel retail market size in the United States is worth about seventy-two billion US dollars. Recommender systems on retail websites generate a lot of this revenue. Thus, improving recommender systems can increase their revenue. Traditional recommendations for clothes consisted of lexical methods.
Nikita Ramesh, Teng-Sheng Moh
openaire   +2 more sources

Geosocial recommender systems [PDF]

, 2015
Daily life is full of location-related decisions: where to go on vacation, which house to buy, which job to apply for, etc. These decisions are not only influenced by the characteristics of this holiday home, house, or company, but also by the region it is located in.
openaire   +3 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 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

Watermarking Recommender Systems

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Recommender systems embody significant commercial value and represent crucial intellectual property. However, the integrity of these systems is constantly challenged by malicious actors seeking to steal their underlying models. Safeguarding against such threats is paramount to upholding the rights and interests of the model owner.
Sixiao Zhang, Cheng Long 0001, Wei Yuan 0003, Hongxu Chen 0002, Hongzhi Yin   +4 more
openaire   +3 more sources

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

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

A Scalable, Accurate Hybrid Recommender System

, 2010
Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of recommender systems: collaborative filtering, content-based filtering, and ...
M.A. Ghazanfar, Prugel-Bennett, Adam, A. Prugel-Bennett, Ghazanfar, Mustansar   +3 more
core   +1 more source

The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli, Seth Rotz, Masatoshi Takagi, Richa Sharma   +3 more
wiley   +1 more source