Behavioral Analysis and Personalization

Behavioral analysis and personalization are shaping what the web looks like today arguably more than any other technology. The web is evolving at the pace of continuous A/B tests and lessons learned from analyzing user responses. At the same time, personalized experiences that go from news to ads and include many other pieces of media such as videos or images are part of our everyday experience in the WWW.

In this track we invite original research submissions addressing all aspects of user behavior analysis and personalization. Relevant topics include:

  • User modeling
  • Personalization of the web experience
  • Recommendation approaches and recommender systems
  • Evaluation of recommender systems and other personalization techniques
  • Analysis of usage patterns via user studies
  • User behavior through log analysis
  • Live experiments and A/B testing
  • Web user interface design and analysis
  • Efficient data mining algorithms for large-scale log analysis
  • Metrics for user behavior
  • Personalization and recommendation in the social web

For questions related to this call, please email:

Area Chairs

  • Xavier Amatriain, Quora, USA
  • Mounia Lalmas, Yahoo Labs, UK

Senior Program Committee

  • Omar Alonso, Microsoft
  • Robin Burke, DePaul University
  • Pablo Castells, Universidad Autónoma de Madrid
  • Carlos Castillo, Qatar Computing Research Institute
  • Ed H. Chi, Google
  • Martin Ester, Simon Fraser University
  • Bamshad Mobasher, De Paul University
  • Nuria Oliver, Telefonica Research, Spain
  • Pavel Serdyukov, Yandex
  • Fabrizio Silvestri, Yahoo Labs
  • Arjen de Vries, CWI
  • Emine Yilmaz, University College London

Program Committee

  • Amr Ahmed, Google
  • Sarabjot Anand, Algorithmic Insight
  • Linas Baltrunas, Telefonica Research
  • Alejandro Bellogin, Universidad Autonoma de Madrid
  • Shlomo Berkovsky, CSIRO
  • Marc Bron, Yahoo Labs
  • Peter Brusilovsky, University of Pittsburgh
  • Ivan Cantador, Universidad Autónoma de Madrid
  • Paolo Cremonesi, Politecnico di Milano
  • Brian Davison, Lehigh University
  • Debora Donato, Stumble Upon
  • Carsten Eickhoff, ETH Zurich
  • Michael Ekstrand, Texas State University
  • Henry Feild, Endicott College
  • Alexander Felfernig, Graz University of Technology
  • Jill Freyne, CSIRO
  • Zeno Gantner, Nokia gate5 GmbH
  • Werner Geyer, IBM Research
  • Eduardo Graells-Garrido, Telefonica Research, Chile
  • Claudia Hauff Delft, University of Technology
  • Liangjie Hong, Yahoo Labs, Sunnyvale
  • Frank Hopfgartner, University of Glasgow
  • Grace Hui Yang, Georgetown University
  • Neil Hurley, University College Dublin
  • Mohsen Jamali, WalmartLabs
  • Dietmar Jannach, TU Dortmund
  • Joemon Jose, University of Glasgow
  • Alexandros Karatzoglou, Telefonica Research
  • George Karypis, University of Minnesota
  • Gabriella Kazai, Lumi
  • Bart Knijnenburg, University of California, Irvine
  • Wessel Kraaij Radboud, University Nijmegen and TNO
  • Dmitry Lagun, Google
  • Neal Lathia, University of Cambridge
  • Isabel Moulinier, Thompson Reuters
  • John O’Donovan, University of California Santa Barbara
  • Steffen Rendle, Google
  • Francesco Ricci, Free University of Bozen-Bolzano
  • Lior Rokach, BGU
  • Oleg Rokhlenko, Yahoo Labs
  • Alan Said, Recorded Future
  • Rodrygo Santos, Universidade Federal de Minas Gerais
  • Milad Shokouhi, Microsoft
  • Oren Somekh, Yahoo Labs
  • Harald Steck, Netflix
  • Markus Strohmaier, University of Koblenz-Landau
  • Neel Sundaresan, eBay
  • Panagiotis Symeonidis, Aristotle University of Thessaloniki
  • Paul Thomas, CSIRO
  • Michele Trevisiol, Yahoo Labs
  • Jun Wang, University College London
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