A systematic review and research perspective on recommender systems

D Roy, M Dutta - Journal of Big Data, 2022 - Springer
Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

Recommender systems leveraging multimedia content

Y Deldjoo, M Schedl, P Cremonesi, G Pasi - ACM Computing Surveys …, 2020 - dl.acm.org
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …

Trauma-informed computing: Towards safer technology experiences for all

JX Chen, A McDonald, Y Zou, E Tseng… - Proceedings of the …, 2022 - dl.acm.org
Trauma is the physical, emotional, or psychological harm caused by deeply distressing
experiences. Research with communities that may experience high rates of trauma has …

[图书][B] Recommender systems

CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

A systematic review of healthcare recommender systems: Open issues, challenges, and techniques

M Etemadi, SB Abkenar, A Ahmadzadeh… - Expert Systems with …, 2023 - Elsevier
Background The maintenance of health through prevention, diagnosis, and treatment of
illnesses, injuries, and other mental and physical impairments in people is called healthcare …

Recommender systems: Techniques, applications, and challenges

F Ricci, L Rokach, B Shapira - Recommender systems handbook, 2021 - Springer
Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …

[HTML][HTML] Recommendation systems: Principles, methods and evaluation

FO Isinkaye, YO Folajimi, BA Ojokoh - Egyptian informatics journal, 2015 - Elsevier
On the Internet, where the number of choices is overwhelming, there is need to filter,
prioritize and efficiently deliver relevant information in order to alleviate the problem of …

Recommender system application developments: a survey

J Lu, D Wu, M Mao, W Wang, G Zhang - Decision support systems, 2015 - Elsevier
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning

JK Tarus, Z Niu, G Mustafa - Artificial intelligence review, 2018 - Springer
Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …

Revealing customers' satisfaction and preferences through online review analysis: The case of Canary Islands hotels

A Ahani, M Nilashi, E Yadegaridehkordi… - Journal of Retailing and …, 2019 - Elsevier
Travelers can enjoy a wide range of choices with the assistance of online review websites
such as TripAdvisor. Online reviews provided by customers are an important portion of …