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Conducting user experiments in recommender systems

Published:09 September 2012Publication History

ABSTRACT

There is an increasing consensus in the field of recommender systems that we should move beyond the offline evaluation of algorithms towards a more user-centric approach. This tutorial teaches the essential skills involved in conducting user experiments, the scientific approach to user-centric evaluation. Such experiments are essential in uncovering how and why the user experience of recommender systems comes about.

References

  1. Adomavicius, G. and Tuzhilin, A. 2011. Context-Aware Recommender Systems. Recommender Systems Handbook. F. Ricci, L. Rokach, B. Shapira, and P.B. Kantor, eds. Springer US. 217--253. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  11. Willemsen, M., Bollen, D. and Ekstrand, M. 2011. UCERSTI 2: second workshop on user-centric evaluation of recom-mender systems and their interfaces. Proceedings of the fifth ACM conference on Recommender systems (New York, NY, USA, 2011), 395--396. Google ScholarGoogle ScholarDigital LibraryDigital Library

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            • Published in

              cover image ACM Conferences
              RecSys '12: Proceedings of the sixth ACM conference on Recommender systems
              September 2012
              376 pages
              ISBN:9781450312707
              DOI:10.1145/2365952

              Copyright © 2012 Copyright is held by the owner/author(s)

              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 9 September 2012

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              • tutorial

              Acceptance Rates

              RecSys '12 Paper Acceptance Rate24of119submissions,20%Overall Acceptance Rate254of1,295submissions,20%

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              RecSys '24
              18th ACM Conference on Recommender Systems
              October 14 - 18, 2024
              Bari , Italy

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