Results 1 to 10 of about 85,662 (301)

Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model [PDF]

open access: yesIEEE Access, 2019
Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users’ feedback concerning their appreciation of previous health-related messages.
Santiago Hors-Fraile   +9 more
doaj   +3 more sources

Recommender Systems

open access: green, 2022
Recommender Systems Empfehlungssysteme in der digitalen ...
MTandHJ
  +4 more sources

Recommender systems [PDF]

open access: yesPhysics Reports, 2012
97 pages, 20 figures (To appear in Physics Reports)
Lu L.   +5 more
openaire   +4 more sources

Systematic review: YouTube recommendations and problematic content

open access: yesInternet Policy Review, 2022
There has been much concern that social media, in particular YouTube, may facilitate radicalisation and polarisation of online audiences. This systematic review aimed to determine whether the YouTube recommender system facilitates pathways to problematic
Muhsin Yesilada, Stephan Lewandowsky
doaj   +1 more source

Assessment Methods for Evaluation of Recommender Systems: A Survey

open access: yesFoundations of Computing and Decision Sciences, 2021
The recommender system (RS) filters out important information from a large pool of dynamically generated information to set some important decisions in terms of some recommendations according to the user’s past behavior, preferences, and interests.
Kuanr Madhusree, Mohapatra Puspanjali
doaj   +1 more source

Computational Model of Recommender System Intervention

open access: yesApplied Computational Intelligence and Soft Computing, 2022
A recommender system is an information selection system that offers preferences to users and enhances their decision-making. This system is commonly implemented in human-computer-interaction (HCI) intervention because of its information filtering and ...
Adegoke Ojeniyi   +3 more
doaj   +1 more source

DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph

open access: yesMathematics, 2022
In the era of information explosion, it is difficult for people to obtain their desired information effectively. In tourism, a travel recommender system based on big travel data has been developing rapidly over the last decade. However, most work focuses
Hui Fang   +4 more
doaj   +1 more source

Food recommender systems for diabetic patients: a narrative review [PDF]

open access: yesReviews in Clinical Medicine, 2017
World Health Organization (WHO) estimates that the number of people with diabetes will grow 114% by 2030. It declares that patients themselves have more responsibility for controlling and the treatment of diabetes by being provided with updated knowledge
Somaye Norouzi   +4 more
doaj   +1 more source

An intelligent recommender system for people who are prone to fatty liver disease

open access: yesInformatics in Medicine Unlocked, 2023
Introduction: Considering the growth of the outbreak of fatty liver disease, it seems necessary and needed to design and develop an intelligent recommender system in order to provide clinical recommendations and a healthy lifestyle and also to provide a ...
Samira Khademzadeh   +4 more
doaj   +1 more source

A systematic review and research perspective on recommender systems

open access: yesJournal of Big Data, 2022
Recommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization trends, and emerging access to the internet.
Deepjyoti Roy, Mala Dutta
doaj   +1 more source

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