Results 51 to 60 of about 85,662 (301)
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
Recommender systems and their ethical challenges [PDF]
, 2020 This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical ...
Floridi, Luciano +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
, 2018 Recommender systems have become an integral part of many social networks and extract knowledge from a user's personal and sensitive data both explicitly, with the user's knowledge, and implicitly.
Aghasian, Erfan +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Trust and Distrust based Cross-domain Recommender System
Applied Artificial Intelligence, 2021 A recommender system (RS) provides assistance for users to filter out items of their interest in the presence of millions of available items. The reason is to find out the likewise user with the assumption that if users have shared similar interest in ...
Richa, Punam Bedi
doaj +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan +5 more
wiley +1 more source
CROSS DOMAIN RECOMMENDATION USING VECTOR MODELING AND GENRE CORRELATIONS
ICTACT Journal on Soft Computing, 2018 Recommender systems are basically information retrieval systems that offer guidance to users in making individual decisions related to choosing items based on personal interests.
Mala Saraswat +4 more
doaj +1 more source
A hybrid recommendation scheme for delay-tolerant networks: The case of digital marketplaces
Array, 2023 Recommender systems are widely-adopted by numerous popular e-commerce sites, such as Amazon and E-bay, to help users find products that they might like. Although much has been achieved in the area, most recommender systems are designed to work on top of ...
Victor M. Romero, II +2 more
doaj +1 more source