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Introduction

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2017, the eleventh conference in this series, will be held in Como, Italy. It will bring together researchers and practitioners from academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2017 program will feature keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium.

Published papers will go through a rigorous full peer review process. The conference proceedings, which will be available both on a USB drive and via the ACM Digital Library, are expected to be widely read and cited.

ACM RecSys 2017 will take place in Como, Italy, from August 27-31, 2017.

Call for paper

Important date

2017-04-03
Draft paper submission deadline
2017-06-12
Draft paper acceptance notification
2017-07-07
Final paper submission deadline

Submission Topics

  • Algorithm scalability 

  • Case studies of real-world implementations 

  • Conversational recommender systems 

  • Context-aware recommenders 

  • Evaluation metrics and studies 

  • Explanations and evidence 

  • Field and user studies 

  • Group recommenders 

  • Innovative/New applications 

  • Machine learning for recommendation 

  • Mobile and multi-channel recommendations 

  • Novel paradigms 

  • Personalisation 

  • Preference elicitation 

  • Privacy and Security 

  • Recommendation algorithms 

  • Social recommenders 

  • Semantic technologies for recommendation 

  • Trust and reputation 

  • Theoretical foundations 

  • User interaction and interfaces 

  • User modelling 

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Important Date
  • Conference Date

    Aug 27

    2017

    to

    Aug 31

    2017

  • Apr 03 2017

    Draft paper submission deadline

  • Jun 12 2017

    Draft Paper Acceptance Notification

  • Jul 07 2017

    Final Paper Deadline

  • Aug 31 2017

    Registration deadline

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American Computer Society
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