Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce

RA Abumalloh, O Ibrahim, M Nilashi - Technology in Society, 2020 - Elsevier
E-commerce is becoming a major contributor to the worldwide economic system, owing to its
adaptability and ease of use for both customers and service providers. Recommender …

Examining choice overload across single-list and multi-list user interfaces

AD Starke, J Sedkowska, M Chouhan… - 9th joint workshop on …, 2022 - bora.uib.no
Recommender systems are prone to triggering choice overload among users due to the
typically large set sizes. Various applications have been developed that aim to overcome …

A contextual Bayesian user experience model for scholarly recommender systems

ZD Champiri, B Fisher, CY Chong - International Conference on Human …, 2021 - Springer
Since the advent of scholarly recommender systems (SRSs), more than 200 papers in the
related area have been published. Many of these papers focus on proposing new and more …

The Role of Different User Interfaces When Reducing Choice Overload: A study on the effects of single-list, grid and multi-list user interfaces on users' experience.

J Sedkowska, M Chouhan - 2022 - diva-portal.org
A common belief is that the larger the variety of options, the better. However, humans have a
limited cognitive capacity, which can lead to people experiencing choice overload (Iyengar …

[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 …

A contextual bayesian user experience model for scholarly recommender systems/Zohreh Dehghani Champiri

C Zohreh Dehghani - 2019 - studentsrepo.um.edu.my
Scholarly recommender systems attempt to narrow down the number of research resources
and predict availability of unknown resources to assist scholars with their scholarly tasks …