Concept

Heuristic evaluation

Related publications (61)

PEN recsys: a Personalized News Recommender Systems Framework (DEMO)

We present the Personalized News (PEN) recommender systems framework, (Note that this paper is an extended abstract of Garcin2013b), currently in use by a newspaper website to evaluate various algorithms for news recommendations. We briefly describe its sy ...

2013

PEN recsys: a Personalized News Recommender Systems Framework

Boi Faltings, Florent Frédéric Garcin

We present the Personalized News (PEN) recommender systems framework, currently in use by a newspaper website to evaluate various algorithms for news recommendations. We briefly describe its system architecture and related components. We show how a researc ...

2013

User-based evaluation of an interactive expert system for full-year daylighting design support

Marilyne Andersen

This paper presents the results of an original design process-oriented user study conducted on an interactive expert system specifically developed for full year, climate-based daylighting design support. The aim of the study was to determine how well its d ...

2012

Iterative Relevance Feedback with Adaptive Exploration/Exploitation Trade-off

François Fleuret, Nicolae Suditu

Content-based image retrieval systems have to cope with two different regimes: understanding broadly the categories of interest to the user, and refining the search in this or these categories to converge to specific images among them. Here, in contrast wi ...

2012

Evaluating recommender systems from the user's perspective: survey of the state of the art

Pearl Pu Faltings, Li Chen, Rong Hu

A recommender system is a Web technology that proactively suggests items of interest to users based on their objective behavior or explicitly stated preferences. Evaluations of recommender systems (RS) have traditionally focused on the performance of algor ...

Springer Netherlands2012

HEAT: Iterative Relevance Feedback with One Million Images

François Fleuret, Nicolae Suditu

It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hundreds of thousands or millions of images. We present a new approach dubbed Hi ...

2011

HEAT: Iterative Relevance Feedback with One Million Images

François Fleuret, Nicolae Suditu

Idiap2011

Making Mobile Augmented Reality A Reality

Jeffrey Huang, Hendrik Ole Knoche, Laurent Bindschaedler

Recent advances in mobile device technology have freed augmented reality (AR) applications from the constraints of desktops, laptops and head-mounted displays. But they are met with a lack of guidelines on the design and user interactions of mobile device- ...

ACM2011

Task-oriented Usability Evaluation of a WebGIS for a Real-World Community

François Golay, Jens Ingensand

This paper describes the usability evaluation of a WebGIS. The system under evaluation has been developed for a real-world community in the Swiss canton de Vaud, namely for two people who are involved in wine making. The system's usability is tested with u ...

Urban and Regional Information Systems Association2010

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

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