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Filtrage collaboratif

Publications associées (117)

Collaborative Personalized Top-k Processing

This article presents P4Q, a fully decentralized gossip-based protocol to personalize query processing in social tagging systems. P4Q dynamically associates each user with social acquaintances sharing similar tagging behaviors. Queries are gossiped among s ...

Association for Computing Machinery2011

Towards Ubiquitous Learning

This book constitutes the refereed proceedings of the 6th European Conference on Technology Enhanced Learning, EC-TEL 2011, held in Palermo, Italy, in September 2010. The 30 revised full papers presented were carefully reviewed and selected from 158 submis ...

Springer2011

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

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

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

Trust-Based Rating Prediction for Recommendation in Web 2.0 Collaborative Learning Social Software

Denis Gillet, Na Li

Benefiting from the advent of social software, information sharing becomes pervasive. Personalized rating systems have emerged to evaluate the quality of user-generated content in open environment and provide recommendation based on users’ past experience. ...

2010

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

Distributed Sensing of Signals Linked by Sparse Filtering

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

Certain aspects of the present disclosure provide methods for distributed sensing and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. ...

2010

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

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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