Recommender systems

Related publications (37)

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Collaborative Scoring with Dishonest Participants

Rachid Guerraoui, Seth Gilbert, Faezeh Malakouti

Consider a set of players that are interested in collectively evaluating a set of objects. We develop a collaborative scori ng protocol in which each player evaluates a subset of the objects, after which we can accurately predict each players’ individual o ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2010

Neighborhood-based Tag Prediction

Karl Aberer, Philippe Cudré-Mauroux, Sebastian Michel, Adriana Budura

We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatically propagate tags along the edges of a graph which relates similar documen ...

2009

Rating aggregation in collaborative filtering systems

Boi Faltings, Radu Jurca, Florent Frédéric Garcin, Nadine Joswig

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

Contextualized and personalized location-based services

Shijun Yu

Advances in the technologies of smart mobile devices and tiny sensors together with the increase in the number of web resources open up a plethora of new mobile information services where people can acquire and disseminate information at any place and any ...

EPFL2008

Ontology filtering

Vincent Jean Fabrice Schickel

With the ever growing importance of internet, people are becoming overwhelmed by information. More concretely, consider a situation where you find yourself with an evening alone and would like to rent a DVD to watch. For several reasons, this is a difficul ...

EPFL2007

Scalable intelligent electronic catalogs

Marc Torrens Arnal

The world today is full of information systems which make huge quantities of information available. This incredible amount of information is clearly overwhelming Internet endusers. As a consequence, intelligent tools to identify worthwhile information are ...

EPFL2003

Personalized navigation of heterogeneous product spaces using SmartClient

Boi Faltings, Pearl Pu Faltings

Personalization in e-commerce has so far been server-centric, requiring users to create a separate individual profile on each server that they like to access. As product information is increasingly coming from multiple and heterogeneous sources, the number ...

Association for Computing Machinery2002