8:30 – 8:40
Opening Remarks
8:40 – 9:10
RecSys Academia Paper
Context Trails: A Dataset to Study Contextual and Route Recommendation
Pablo Sánchez (Instituto de Investigación Tecnológica (IIT), Universidad Pontificia Comillas),
Alejandro Bellogín* (Universidad Autónoma de Madrid),
José L. Jorro-Aragoneses (Universidad Autónoma de Madrid)
9:10 – 9:30
Efficient Query Context-Aware Ranking for Sequential Recommendation [paper]
Andrii Dzhoha*, Alisa Mironenko, Evgeny Labzin, Vladimir Vlasov, Maarten Versteegh, Marjan Celikik
9:30 – 9:50
Using LLMs to Capture Users’ Temporal Context for Recommendation [paper]
Milad Sabouri*, Masoud Mansoury, Kun Lin, Bamshad Mobasher
9:50 – 10:20
Break
10:20 – 10:40
FinTRec: Transformer-Based Unified Contextual Ads Targeting and Personalization for Financial Applications [paper]
Dwipam Katariya*, Snehita Varma, Kal Mishra, Pranab Mohanty, Akshat Shreemali, Benjamin Wu
10:40 – 11:10
RecSys Industry Paper
In-Context Learning for Addressing User Cold-Start in Sequential Movie Recommenders
Xurong Liang (Amazon), Vu Nguyen (Amazon), Vuong Le* (Amazon), Paul Albert (Amazon), Julien Monteil (Amazon)
11:10 – 11:30
Closing Remarks