Artificial intelligence in E-Commerce: a bibliometric study and literature review

RE Bawack, SF Wamba, KDA Carillo, S Akter - Electronic markets, 2022‏ - Springer
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

Invited review: Machine learning for materials developments in metals additive manufacturing

NS Johnson, PS Vulimiri, AC To, X Zhang, CA Brice… - Additive …, 2020‏ - Elsevier
In metals additive manufacturing (AM), materials and components are concurrently made in
a single process as layers of metal are fabricated on top of each other in the near-final …

[ספר][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 …

Toward meaningful engagement

D Liu, R Santhanam, J Webster - MIS quarterly, 2017‏ - JSTOR
Gamification, an emerging idea for using game design elements and principles to make
everyday tasks more engaging, is permeating many different types of information systems …

A contextual-bandit approach to personalized news article recommendation

L Li, W Chu, J Langford, RE Schapire - Proceedings of the 19th …, 2010‏ - dl.acm.org
Personalized web services strive to adapt their services (advertisements, news articles, etc.)
to individual users by making use of both content and user information. Despite a few recent …

Context-aware recommender systems for learning: a survey and future challenges

K Verbert, N Manouselis, X Ochoa… - IEEE transactions on …, 2012‏ - ieeexplore.ieee.org
Recommender systems have been researched extensively by the Technology Enhanced
Learning (TEL) community during the last decade. By identifying suitable resources from a …

Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey

N Kaaniche, M Laurent, S Belguith - Journal of Network and Computer …, 2020‏ - Elsevier
Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …

Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps

H Gao, L Kuang, Y Yin, B Guo, K Dou - Mobile Networks and Applications, 2020‏ - Springer
Recently, more and more mobile apps are employed in the marketing field with technical
advances. Mobile marketing apps have become a prevalent way for enterprise marketing …

[HTML][HTML] Web technologies for environmental Big Data

C Vitolo, Y Elkhatib, D Reusser, CJA Macleod… - … Modelling & Software, 2015‏ - Elsevier
Recent evolutions in computing science and web technology provide the environmental
community with continuously expanding resources for data collection and analysis that pose …

[ספר][B] Re-designing learning contexts: Technology-rich, learner-centred ecologies

R Luckin - 2010‏ - taylorfrancis.com
What do we mean by the word 'context'in education and how does our context influence the
way that we learn? What role can technology play in enhancing learning and what is the …