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User Perceived Qualities and Acceptance of Recommender Systems

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Music Recommendation to Groups

Lucas Maystre

First we present Unison, a conceptual music recommender system for groups of people; the system aims at generating a playlist that takes musical tastes of all the group members into account. We discuss both theoretical and practical concerns related to suc ...

2012

A User-Centric Evaluation Framework for Recommender Systems

Pearl Pu Faltings, Li Chen, Rong Hu

This research was motivated by our interest in understanding the criteria for measuring the success of a recommender system from users’ point view. Even though existing work has suggested a wide range of criteria, the consistency and validity of the combin ...

2011

Call me Guru: user categories and large-scale behavior in YouTube

Daniel Gatica-Perez, Joan Isaac Biel Tres

While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little attention has been paid to the analysis of users’ long-term behavior as it relates ...

Springer2011

Experiments on the Preference-Based Organization Interface in Recommender Systems

Pearl Pu Faltings, Li Chen

As e-commerce has evolved into its second generation, where the available products are becoming more complex and their abundance is almost unlimited, the task of locating a desired choice has become too difficult for the average user. Therefore, more effor ...

2010

User interaction with online geospatial systems

Jens Ingensand

User interaction with online geospatial systems is an inter-disciplinary research field that combines the two disciplines Human Computer Interaction (HCI) and geographic information sciences. In recent years online geospatial systems have been created for ...

EPFL2010

A Study on User Perception of Personality-Based Recommender Systems

Pearl Pu Faltings, Rong Hu

Our previous research indicates that using personality quizzes is a viable and promising way to build user profiles to recommend entertainment products. Based on these findings, our current research further investigates the feasibility of using personality ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

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

The 3A Personalized, Contextual and Relation-based Recommender System

Denis Gillet, Christophe Salzmann

This paper discusses the 3A recommender system that targets CSCL (computer-supported collaborative learning) and CSCW (computer-supported collaborative work) environments. The proposed system models user interactions in a heterogeneous graph. Then, it appl ...

2010

Interaction design guidelines on critiquing-based recommender systems

Pearl Pu Faltings, Li Chen

A critiquing-based recommender system acts like an artificial salesperson. It engages users in a conversational dialog where users can provide feedback in the form of critiques to the sample items that were shown to them. The feedback, in turn, enables the ...

Springer Netherlands2009

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