Results 31 to 40 of about 74,183 (271)

Improving electronic customers' profile in recommender systems using data mining techniques [PDF]

open access: yesManagement Science Letters, 2011
Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations.
Mohammad Julashokri   +3 more
doaj  

Discovering the Impact of Knowledge in Recommender Systems: A Comparative Study [PDF]

open access: yes, 2011
Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information.
Amini, Bahram   +2 more
core   +2 more sources

Geosocial recommender systems [PDF]

open access: yes, 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   +2 more sources

The transformative power of recommender systems in enhancing citizens’ satisfaction: Evidence from the Moroccan public sector [PDF]

open access: yesInnovative Marketing
The study aims to specifically evaluate the potential impact of implementing AI-powered recommender systems on citizen satisfaction within Moroccan public services.
Ouissale El Gharbaoui   +2 more
doaj   +1 more source

Artificial Neural Networks and Particle Swarm Optimization Algorithms for Preference Prediction in Multi-Criteria Recommender Systems

open access: yesInformatics, 2018
Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques.
Mohamed Hamada, Mohammed Hassan
doaj   +1 more source

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

open access: yes, 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. However, recommender systems are often not grounded in behavioral
Amaya Rodríguez, Claudio Antonio   +9 more
core   +1 more source

Web based Recommender Systems and Rating Prediction [PDF]

open access: yes, 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

The reinforcing influence of recommendations on global diversification [PDF]

open access: yes, 2011
Recommender systems are promising ways to filter the overabundant information in modern society. Their algorithms help individuals to explore decent items, but it is unclear how they allocate popularity among items.
  +10 more
core   +2 more sources

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

open access: yesPediatric 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

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