Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)

Alan Said, Christine Bauer*, Eva Zangerle

*Corresponding author for this work

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Pages1237-1238
Number of pages2
DOIs
Publication statusPublished - 8 Oct 2024
Event18th ACM Conference on Recommender Systems - Petruzzelli Theater, Bari, Italy
Duration: 14 Oct 202418 Oct 2024
Conference number: 18
https://recsys.acm.org/recsys24/

Conference

Conference18th ACM Conference on Recommender Systems
Abbreviated titleRecSys 2024
Country/TerritoryItaly
CityBari
Period14/10/2418/10/24
Internet address

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s).

Keywords

  • introspection
  • reflection
  • recommender systems
  • information retrieval
  • personalized systems

Fields of Science and Technology Classification 2012

  • 102 Computer Sciences
  • 211 Other Technical Sciences

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