Collaborative filtering: Techniques and applications
N Mustafa, AO Ibrahim, A Ahmed… - … Control, Computing and …, 2017 - ieeexplore.ieee.org
During the last decade a huge amount of data have been shown and introduced in the
Internet. Recommender systems are thus predicting the rating that a user would give to an …
Internet. Recommender systems are thus predicting the rating that a user would give to an …
Personalized web page recommendation using case-based clustering and weighted association rule mining
J Bhavithra, A Saradha - Cluster computing, 2019 - Springer
Recommendation system predicts and suggests those web pages that are likely to be visited
by web users. The usage of recommendation system reduces delay in search and helps …
by web users. The usage of recommendation system reduces delay in search and helps …
A comparative study of location-based recommendation systems
Recent advancements in location-based recommendation system (LBRS) and the
availability of online applications, such as Twitter, Instagram, Foursquare, Path, and …
availability of online applications, such as Twitter, Instagram, Foursquare, Path, and …
[PDF][PDF] Similarity measures for recommender systems: a comparative study
MSD Sondur, MAP Chigadani, S Nayak - Journal for Research, 2016 - academia.edu
Recommender Systems have the ability to guide the users in a personalized way to
interesting items in a large space of possible options. They have fundamental applications in …
interesting items in a large space of possible options. They have fundamental applications in …
[PDF][PDF] Les systèmes de recommandation à base de confiance
CA Haydar - Université de Lorraine, 2014 - docnum.univ-lorraine.fr
Cette thèse examine l'apport de la modélisation et de l'exploitation de la confiance aux SR.
Ce chapitre est consacré aux approches de la modélisation de la confiance en informatique …
Ce chapitre est consacré aux approches de la modélisation de la confiance en informatique …
[PDF][PDF] Personalized nutrition recommendation for diabetic patients using optimization techniques.
B Janakiraman, S Arumugam - Intelligent Automation & Soft …, 2020 - cdn.techscience.cn
Personalization in recommendation system has been emerging as the most predominant
area in service computing. Collaborative filtering and content based approaches are two …
area in service computing. Collaborative filtering and content based approaches are two …
A survey on recommender systems
M Liphoto, C Du, S Ngwira - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Nowadays mobile devices are becoming a major platform for information access and when
combined with recommendation systems technologies they can become key tools for mobile …
combined with recommendation systems technologies they can become key tools for mobile …
[PDF][PDF] Development of an Intelligent Job Recommender System for Freelancers using Client's Feedback Classification and Association Rule Mining Techniques.
MS Hossain, MS Arefin - J. Softw., 2019 - researchgate.net
Most of the freelancer's time is killed in finding suitable jobs due to the huge number of
freelance marketplaces. Freelancing sites send email notifications or show in newsfeed …
freelance marketplaces. Freelancing sites send email notifications or show in newsfeed …
The Footprint of Factorization Models and Their Applications in Collaborative Filtering
Factorization models have been successfully applied to the recommendation problems and
have significant impact to both academia and industries in the field of Collaborative Filtering …
have significant impact to both academia and industries in the field of Collaborative Filtering …
Ubiquitous computing technologies and context aware recommender systems for ubiquitous learning
S Thiprak, W Kurutach - 2015 12th International Conference on …, 2015 - ieeexplore.ieee.org
This paper proposes Ubiquitous Context Aware Recommender Systems for Ubiquitous
Learning (UbiCARsUL) As the new learning paradigm, known as ubiquitous learning or U …
Learning (UbiCARsUL) As the new learning paradigm, known as ubiquitous learning or U …