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 …

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 …

A comparative study of location-based recommendation systems

F Rehman, O Khalid, SA Madani - The Knowledge Engineering …, 2017 - cambridge.org
Recent advancements in location-based recommendation system (LBRS) and the
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 …

[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 …

[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 …

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 …

[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 …

The Footprint of Factorization Models and Their Applications in Collaborative Filtering

J Wang, Y Ren, J Li, K Deng - ACM Transactions on Information Systems …, 2021 - dl.acm.org
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 …

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 …