Person

Nicolas Jones

This person is no longer with EPFL

Related publications (7)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

User Perceived Qualities and Acceptance of Recommender Systems

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

Eye-Tracking Product Recommenders' Usage

Pearl Pu Faltings, Nicolas Jones

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

How Users Perceive and Appraise Personalized Recommendations

Pearl Pu Faltings, Li Chen, Nicolas Jones

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, Jiyong Zhang, Nicolas Jones

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 Acceptance Issues in Music Recommender Systems

Pearl Pu Faltings, Nicolas Jones

Two music recommender systems were compared side-by-side in an in- depth between-subject lab study. The main objectives were to investigate users' acceptance of music recommendations and to probe the main technology acceptance model in the environment of l ...

2008

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

Recommenders' Influence on Buyers' Decision Process

Nicolas Jones

Online stores offer an increasingly large set of products. Interactive decision aids are becoming indispensable tools assisting users as they search for an ideal product to purchase. For an e-commerce website, adopting the correct tools can affect its surv ...

ACM2003