1st Workshop: Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)

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 organizers aim 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. The workshop encourages open dialogue and critical reflection, bringing forth introspective questions to collaboratively explore the past, present, and future of RS as it transitions into adulthood.

Highlights

• Keynote “People Who Liked This Also Liked … A Publication Analysis of Three Decades of Recommender Systems” by Barry Smyth
• Panel with Peter Brusilovsky, Olivier Jeunen, and Sole Pera

Alan Said, Christine Bauer, Eva Zangerle (2024). Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES). 18th ACM Conference on Recommender Systems (RecSys 2024).

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