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Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017)

Published: 27 August 2017 Publication History

Abstract

Recommendation algorithms for ratings prediction and item ranking have steadily matured during the past decade. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios. The ComplexRec 2017 workshop addressed this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all-solution.

References

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Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, and Alexander Tuzhilin. 2011. 3rd Workshop on Context-aware Recommender Systems (CARS 2011). In Proceedings of RecSys '11. ACM, New York, NY, USA, 379--380.
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Gediminas Adomavicius and Francesco Ricci. 2009. RecSys'09 Workshop 3: Workshop on Context-aware Recommender Systems (CARS-2009). In Proceedings of RecSys '09. ACM, New York, NY, USA, 423--424.
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Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto W. De Luca, and Alan Said. 2010. Context-awareness in Recommender Systems: Research Workshop and Movie Recommendation Challenge. In Proceedings of RecSys '10. ACM, New York, NY, USA, 385--386.
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Matthias Böhmer, Ernesto W. De Luca, Alan Said, and Jaime Teevan. 2013. 3rd Workshop on Context-awareness in Retrieval and Recommendation. In Proceedings of WSDM '13. ACM, New York, NY, USA, 789--790.
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Cited By

View all
  • (2019)Third workshop on recommendation in complex scenarios (ComplexRec 2019)Proceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3346948(550-551)Online publication date: 10-Sep-2019
  • (2018)2nd workshop on recommendation in complex scenarios (complexrec 2018)Proceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3240332(510-511)Online publication date: 27-Sep-2018
  • (2018)Towards the next generation of multi-criteria recommender systemsProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3240326(553-557)Online publication date: 27-Sep-2018

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Published In

cover image ACM Conferences
RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems
August 2017
466 pages
ISBN:9781450346528
DOI:10.1145/3109859
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

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Published: 27 August 2017

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  1. complex recommendation

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RecSys '17 Paper Acceptance Rate 26 of 125 submissions, 21%;
Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

View all
  • (2019)Third workshop on recommendation in complex scenarios (ComplexRec 2019)Proceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3346948(550-551)Online publication date: 10-Sep-2019
  • (2018)2nd workshop on recommendation in complex scenarios (complexrec 2018)Proceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3240332(510-511)Online publication date: 27-Sep-2018
  • (2018)Towards the next generation of multi-criteria recommender systemsProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3240326(553-557)Online publication date: 27-Sep-2018

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