The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions

YQ Zhu, JH Chang - Computers in Human Behavior, 2016 - Elsevier
Internet advertising has become increasingly personalized as advertisers tailor content to
individual users. However, this has led consumers to be concerned about their privacy …

[HTML][HTML] Overlaying social information: The effects on users' search and information-selection behavior

V Orso, T Ruotsalo, J Leino, L Gamberini… - Information Processing & …, 2017 - Elsevier
Previous research investigated how to leverage the new type of social data available on the
web, eg, tags, ratings and reviews, in recommending and personalizing information …

[HTML][HTML] ComTech: Towards a unified taxonomy of persuasive techniques for persuasive technology design

K Oyibo - Computers in Human Behavior Reports, 2024 - Elsevier
Few development taxonomies of persuasive techniques that unify the key disciplines
involved in the design of persuasive technology have been proposed. With most prior …

Trajectory recommendation for task accomplishment in crowdsourcing–a model to favour different actors

A Sales Fonteles, S Bouveret… - Journal of Location Based …, 2016 - Taylor & Francis
Crowdsourcing systems (CS) are platforms that enable users, called requesters, to publish
tasks that others, called workers, are expected to accomplish. Usually, these are systems …

A two-step, user-centered approach to personalized tourist recommendations

V Orso, A Varotto, S Rodaro, A Spagnolli… - Proceedings of the 12th …, 2017 - dl.acm.org
Geo-localized, mobile applications can simplify a tourist visit, making the relevant Point of
Interests more easily and promptly discernible to users. At the same time, such solutions …

[PDF][PDF] Mapeo sistemático de la literatura sobre experiencia de usuario en sistemas de recomendación

G Ramírez-Olivera… - Revista de la Alta …, 2021 - academiajournals.com
La Experiencia de Usuario (UX) trata del sentimiento de un usuario respecto de un producto
al utilizarlo durante un periodo de tiempo. La UX aplica también a los productos y servicios …

Bridging the gap between user-centric and offline evaluation of personalized recommendation systems

Z Zolaktaf, O AlOmeir, R Pottinger - … of the 26th Conference on User …, 2018 - dl.acm.org
In this paper, we propose to evaluate recommender systems by conducting both offline and
user-centric evaluations, while considering multiple quality aspects in realistic settings. This …

[PDF][PDF] CUSTOMERS'LOYALTY MODEL IN THE DESIGN OF E-COMMERCE RECOMMENDER SYSTEMS

RALI ABUMALLOH - 2021 - core.ac.uk
Recommender systems have been adopted in most modern online platforms to guide users
in finding more suitable items that match their interests. Previous studies showed that …

Italian Machine Learning and Data Mining research: The last years

N Di Mauro, P Frasconi, F Angiulli… - Intelligenza …, 2013 - content.iospress.com
With the increasing amount of information in electronic form the fields of Machine Learning
and Data Mining continue to grow by providing new advances in theory, applications and …

Social Intelligent Learning Management System for Demanding Users

F Epifania - 2016 - boa.unimib.it
With the ambition of providing teachers with a novel concrete tool called “Social Intelligent
Learning Management System (SILMS)” for worldwide exploiting didactic contents to feature …