Web personalization: the state of the art and future avenues for research and practice

V Salonen, H Karjaluoto - Telematics and Informatics, 2016 - Elsevier
Although web personalization has been examined by earlier literature reviews, an updated
analysis of recent advances in the field is needed. The authors extend prior reviews of web …

Impact of website attributes on customer engagement in banking: a solicitation of stimulus-organism-response theory

JU Islam, S Shahid, A Rasool, Z Rahman… - International Journal of …, 2020 - emerald.com
Purpose This paper aims to investigate how banking websites can activate customer
engagement (CE) to consequently enhance customer trust and retention …

[HTML][HTML] Consequences of personalized product recommendations and price promotions in online grocery shopping

H Hallikainen, M Luongo, A Dhir… - Journal of Retailing and …, 2022 - Elsevier
Shopping convenience can be turned into a competitive advantage for online grocery
retailers. Consequently, we study how personalized product recommendations …

Differential effects of provider recommendations and consumer reviews in e-commerce transactions: An experimental study

A Benlian, R Titah, T Hess - Journal of Management Information …, 2012 - Taylor & Francis
Despite the importance of online product recommendations (OPRs) in e-commerce
transactions, there is still little understanding about how different recommendation sources …

Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach

X Li, H Chen - Decision Support Systems, 2013 - Elsevier
Recommender systems have been widely adopted in online applications to suggest
products, services, and contents to potential users. Collaborative filtering (CF) is a …

A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis

K Choi, D Yoo, G Kim, Y Suh - electronic commerce research and …, 2012 - Elsevier
Many online shopping malls in which explicit rating information is not available still have
difficulty in providing recommendation services using collaborative filtering (CF) techniques …

Application of an improved Apriori algorithm in a mobile e-commerce recommendation system

Y Guo, M Wang, X Li - Industrial Management & Data Systems, 2017 - emerald.com
Purpose The purpose of this paper is to make the mobile e-commerce shopping more
convenient and avoid information overload by a mobile e-commerce recommendation …

A diffusion mechanism for social advertising over microblogs

YM Li, YL Shiu - Decision Support Systems, 2012 - Elsevier
Social media have increasingly become popular platforms for information dissemination.
Recently, companies have attempted to take advantage of social advertising to deliver their …

Recommender systems as an agility enabler in supply chain management

C Dadouchi, B Agard - Journal of Intelligent Manufacturing, 2021 - Springer
In recent years, recommender systems have become necessary in overcoming the
challenges related to the incredible growth of information. They are used in a wide range of …

Machine learning and BIM visualization for maintenance issue classification and enhanced data collection

JJ McArthur, N Shahbazi, R Fok, C Raghubar… - Advanced Engineering …, 2018 - Elsevier
Occupant-generated work orders are recognized as a good potential data to support Facility
Management (FM) activities, however they are unstructured and rarely contain the specific …