Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders

ACM Conference on Recommender Systems (RecSys), 2025

22 July 2025

Anna Volodkevich

Anton Klenitskiy

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Papers citing "Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders"

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Title
Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Maxim Zhelnin Dmitry Redko Volkov Daniil Anna Volodkevich P. Sokerin ... Egor Shvetsov Alexey Vasilev Darya Denisova Ruslan Izmailov Alexey Zaytsev 80 0 0 13 Aug 2025
Recommendation Is a Dish Better Served WarmACM Conference on Recommender Systems (RecSys), 2025 Danil I. Gusak Nikita Sukhorukov Evgeny Frolov 81 0 0 11 Aug 2025
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based InitializationACM Conference on Recommender Systems (RecSys), 2025 Anton Pembek Artem Fatkulin Anton Klenitskiy Alexey Vasilev CLL 106 0 0 25 Jul 2025