Recommender Systems need to deal with different types of users who represent their preferences in various ways. This difference in user behaviour has a deep impact on the…

talk at KTH 14 May 2014 about matrix factorization, different latent and neighborhood models, graphs and energy diffusion for recommender systems, as well as what makes good/bad…

My presentation for the PhD consortium of ADBIS conference.

Slides about mining cross-domain ratings presented at the WWW 2014 conference on April 8, in Seoul (Korea) by Simon Dooms.

Abstract (Dissertation defense talk) In recent years mobile phones have evolved significantly. While the very first cellular phones only provided functionality for conducting…

Towards a Scalable Recommender Engine for Online Marketplaces: The Case of Apache Solr @ WWW2014 Social Recommender Systems Workshop

Computational Advertising Workshop @ ICML 2012

Introduction about the MapReduce distributed version of SlopeOne in Mahout

Xavier Amatriain – July 2014 – Recommender Systems Recommender Systems Collaborative Filtering and other approaches Xavier Amatriain Research/Engineering Director @ Netflix…

1 RecSys ’13, Hong Kong, China, Oct. 12, 2013 Learning to Rank for Recommender Systems Alexandros Karatzogloua , Linas Baltrunasa, Yue Shib aTelefonica Research, Spain…