Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)
Pages 1237 - 1238
Abstract
With the RecSys conference now turning 18 years old, the recommender systems (RS) discipline ventures into adulthood. This workshop serves as a platform for introspection, examining the evolution of RS from its origins in CHI to its current state heavily influenced by and focusing on machine learning. The INTROSPECTIVES workshop aims to foster discussions on the past, present, and future of the RS discipline, inviting the community to reflect on key questions such as the maturation of RS, shifts in research focus, and the impact and success of RS in practice. Topics include the changing landscape of RS problems, the evolving role of RS in addressing choice overload to the current motivations driving RS adoption.
References
[1]
Christine Bauer, Alan Said, and Eva Zangerle. 2024. Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. ACM Transactions on Recommender Systems 2, 1, Article 1 (2024), 5 pages. https://doi.org/10.1145/3648398
[2]
Alan Said, Eva Zangerle, and Christine Bauer. 2023. Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. ACM, 1221–1222. https://doi.org/10.1145/3604915.3608748
[3]
Eva Zangerle, Christine Bauer, and Alan Said. 2021. Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). Association for Computing Machinery, New York, NY, USA, 794–795. https://doi.org/10.1145/3460231.3470929
[4]
Eva Zangerle, Christine Bauer, and Alan Said. 2022. Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). In Proceedings of the 16th ACM Conference on Recommender Systems (Seattle, WA, USA) (RecSys ’22). Association for Computing Machinery, New York, NY, USA, 652–653. https://doi.org/10.1145/3523227.3547408
Index Terms
- Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)
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Published In
October 2024
1438 pages
ISBN:9798400705052
DOI:10.1145/3640457
Copyright © 2024 Owner/Author.
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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- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
New York, NY, United States
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Published: 08 October 2024
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- Austrian Science Fund (FWF)
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