Publications de Nicolas Jones | EPFL Graph Search

Eye-Tracking Product Recommenders' Usage

Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However, few studies have tried to understand how this technology has influenced the ...

ACM2010

User Perceived Qualities and Acceptance of Recommender Systems : The Role of Diversity

Nicolas Jones

Recommender systems have become important, as users are faced with an ever-increasing amount of information available on internet. Much of the research work on the topic has been focused on recommendation techniques, aiming at improving the accuracy of rec ...

EPFL2010

How Users Perceive and Appraise Personalized Recommendations

Pearl Pu Faltings, Nicolas Jones, Li Chen

Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone as far as using implicit feedback indicators to understand users' interests. More tha ...

Springer2009

A Visual Interface for Critiquing-based Recommender Systems

Pearl Pu Faltings, Nicolas Jones, Jiyong Zhang

Critiquing-based recommender systems provide an efficient way for users to navigate through complex product spaces even if they are not familiar with the domain details in e-commerce environments. While recent research has mainly concentrated on methods fo ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2008

User Technology Adoption Issues in Recommender Systems

Pearl Pu Faltings, Nicolas Jones

Two music recommender websites, Pandora (a content-based recommender) and Last.fm (a rating-based social recommender), were compared side-by-side in a within-subject user study involving 64 participants. The main objective was to investigate users’ initial ...

2007