Publications by Radu Jurca | EPFL Graph Search

Related publications (11)

Truthful reputation mechanisms for online systems

The internet is moving rapidly towards an interactive milieu where online communities and economies gain importance over their traditional counterparts. While this shift creates opportunities and benefits that have already improved our day-to-day life, it ...

EPFL2007

Incentive Mechanisms for Community Sensing

Boi Faltings, Radu Jurca, Jingshi Li

Sensing and monitoring of our natural environment are important for sustainability. As sensor systems grow to a large scale, it will become infeasible to place all sensors under centralized control. We investigate community sensing, where sensors are contr ...

Ieee Computer Soc2014

Incentives for Effort in Crowdsourcing using the Peer Truth Serum

Boi Faltings, Radu Jurca, Goran Radanovic

Crowdsourcing is widely proposed as a method to solve large variety of judgement tasks, such as classifying website content, peer grading in online courses, or collecting real-world data. As the data reported by workers cannot be verified, there is a tende ...

Assoc Computing Machinery2016

Reporting incentives and biases in online review forums

Boi Faltings, Radu Jurca, Florent Frédéric Garcin

Online reviews have become increasingly popular as a way to judge the quality of various products and services. However, recent work demonstrates that the absence of reporting incentives leads to a biased set of reviews that may not reflect the true qualit ...

2010

Mechanisms for Making Crowds Truthful

Boi Faltings, Radu Jurca

We consider schemes for obtaining truthful reports on a common but hidden signal from large groups of rational, self-interested agents. One example are online feedback mechanisms, where users provide observations about the quality of a product or service s ...

AI Access Foundation2009

Rating aggregation in collaborative filtering systems

Boi Faltings, Radu Jurca, Florent Frédéric Garcin

Recommender systems based on user feedback rank items by aggregating users' ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weighted arithmetic mean. However, the mean is quite sensitive to outliers and bias ...

ACM Press2009

Incentives for Answering Hypothetical Questions

Boi Faltings, Radu Jurca

Prediction markets and other reward mechanisms based on proper scoring rules can elicit accurate predictions about future events with public utcomes. However, many questions of public interest do not always have a clear answer. For example, facts such as t ...

2011

System and method for monitoring quality of service

Boi Faltings, Radu Jurca

A computer implemented method is provided for monitoring the quality of service of a service provider, the method comprising the steps of receiving first and second reports from first and second clients, respectively, the first and second reports having in ...

2008

Truthful Opinions from the Crowds

Boi Faltings, Radu Jurca

2008

Eliciting Truthful Measurements from a Community of Sensors

Boi Faltings, Radu Jurca, Jingshi Li

As the Internet of Things grows to large scale, its components will increasingly be controlled by selfinterested agents. For example, sensor networks will evolve to community sensing where a community of agents combine their data into a single coherent str ...

2012

Aggregating Reputation Feedback

Boi Faltings, Radu Jurca, Florent Frédéric Garcin

A fundamental task in reputation systems is to aggregate multiple feedback ratings into a single value that can be used to compare the reputation of different entities. Feedback is most commonly aggregated using the arithmetic mean. However, the mean is qu ...

2009