[HTML][HTML] Development and evaluation of health recommender systems: systematic scoping review and evidence mapping

Y Sun, J Zhou, M Ji, L Pei, Z Wang - Journal of Medical Internet Research, 2023 - jmir.org
Background Health recommender systems (HRSs) are information retrieval systems that
provide users with relevant items according to the users' needs, which can motivate and …

A survey on recommender systems for Internet of Things: techniques, applications and future directions

M Altulyan, L Yao, X Wang, C Huang… - The Computer …, 2022 - academic.oup.com
Recommendation is a critical tool for developing and promoting the benefits of the Internet of
Things (IoT). In recent years, recommender systems have attracted considerable attention in …

Time-aware recommender systems: A comprehensive survey and quantitative assessment of literature

R Alabduljabbar, M Alshareef, N Alshareef - IEEE Access, 2023 - ieeexplore.ieee.org
Recommender systems (RS) are among the most widely used applications in data mining
and machine-learning technologies. These technologies recommend relevant products to …

[HTML][HTML] Evolution of recommender paradigm optimization over time

BB Sinha, R Dhanalakshmi - Journal of King Saud University-Computer …, 2022 - Elsevier
In the past few decades recommender system has reshaped the way of information filtering
between websites and the users. It helps in identifying user interest and generates product …

[PDF][PDF] User-Review Oriented Social Recommender System for Event Planning.

RK Singh, P Singh, G Bathla - Ingénierie des Systèmes d Inf., 2020 - researchgate.net
Recommender system is used to suggest product or topic based on user's interest. Existing
recommender system have focused on books, product, music etc. The problem in existing …

Recommender systems for the internet of things: a survey

M Altulyan, L Yao, X Wang, C Huang… - arXiv preprint arXiv …, 2020 - arxiv.org
Recommendation represents a vital stage in developing and promoting the benefits of the
Internet of Things (IoT). Traditional recommender systems fail to exploit ever-growing …

[PDF][PDF] Towards an incremental recommendation of POIs for mobile tourists without profiles

N Dennouni, Y Peter, L Lancieri, Z Slama - Int. J. Intell. Syst. Appl.(IJISA), 2018 - lancieri.fr
Mobile tourism or m-tourism can assist and help tourists anywhere and anytime face the
overload of information that may appear in their smartphones. Indeed, these mobile users …

[PDF][PDF] An application-oriented review of deep learning in recommender systems

J Shokeen, C Rana - International Journal of Intelligent Systems …, 2019 - researchgate.net
The development in technology has gifted huge set of alternatives. In the modern era, it is
difficult to select relevant items and information from the large amount of available data …

An integrated recommender system using semantic web with social tagging system

R Indra, M Thangaraj - International Journal on Semantic Web and …, 2019 - igi-global.com
Social tagging systems (STSs) allow collaborative users to share and annotate many types
of resources with descriptive and semantically meaningful information in freely chosen text …

New recommender system evaluation approaches based on user selections factor

M Kshour, M Ebrahimi, S Goliaee, R Tawil - Heliyon, 2021 - cell.com
Currently, due to the increasing importance of recommender systems (RSs), especially in
the fields of social networking and e-commerce, these systems represent one of the most …