Results 41 to 50 of about 66,899 (270)
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems [PDF]
, 2018 In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items.
Monti, Diego +3 more
core +4 more sources
Web based Recommender Systems and Rating Prediction [PDF]
, 2009 This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of
Nguyen, Tho
core +1 more source
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 +23 more
wiley +1 more source
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 +4 more
wiley +1 more source
Enhancing Human-Computer Interaction in Digital Repositories through a MCDA-Based Recommender System
Advances in Human-Computer Interaction, 2021 Digital repositories contain a large amount of content, which is available to heterogeneous groups of people. As such, in many cases people encounter difficulties in finding specific content which is related to their preferences.
Christos Troussas +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 +3 more
core +2 more sources
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 +20 more
wiley +1 more source
Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm
IEEE Access, 2019 Recommender systems are intelligent data mining applications that deal with the issue of information overload significantly. The available literature discusses several methodologies to generate recommendations and proposes different techniques in ...
Misbah Iqbal +6 more
doaj +1 more source
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 +14 more
wiley +1 more source
Enhancing Recommender System with Collaborative Filtering and User Experiences Filtering
Applied Sciences, 2021 Recommender systems have become an essential part in many applications and websites to address the information overload problem. For example, people read opinions about recommended products before buying them.
Silvana Vanesa Aciar +3 more
doaj +1 more source